You searched for subject:(car following).
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University of California – Irvine
1.
Luong, Elaine.
Microscopic Car Following Models Simulation Study.
Degree: Civil Engineering, 2018, University of California – Irvine
URL: http://www.escholarship.org/uc/item/8tx731bq 
► This study aims to provide a comparison of different car following models in terms of safe distance, stability, and velocity. Although initially developed to model…
(more)
▼ This study aims to provide a comparison of different car following models in terms of safe distance, stability, and velocity. Although initially developed to model traffic, these algorithms can be applied to autonomous vehicles as a way to control following speed and acceleration. Each model was judged based on their performance in a theoretical ring road simulation. For the simulation, 22 vehicles were initially evenly spaced on a 230 meter length ring road. Every vehicle was assumed to follow the same car following algorithm and be connected to the leading vehicle in terms of information sharing. The following vehicle adjusted its acceleration and velocity based on stimuli such as relative velocity and spacing to the leading vehicle according to a car following algorithm. Most of the algorithms were able to produce adequate spacing between vehicles. The major differences between models were the average velocities and stability.
Subjects/Keywords: Transportation; autonomous; car-following; connected; models; simulation
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APA (6th Edition):
Luong, E. (2018). Microscopic Car Following Models Simulation Study. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/8tx731bq
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Luong, Elaine. “Microscopic Car Following Models Simulation Study.” 2018. Thesis, University of California – Irvine. Accessed March 08, 2021.
http://www.escholarship.org/uc/item/8tx731bq.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Luong, Elaine. “Microscopic Car Following Models Simulation Study.” 2018. Web. 08 Mar 2021.
Vancouver:
Luong E. Microscopic Car Following Models Simulation Study. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2021 Mar 08].
Available from: http://www.escholarship.org/uc/item/8tx731bq.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Luong E. Microscopic Car Following Models Simulation Study. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/8tx731bq
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
2.
Vlaar, T.J. (author).
Car following model of the distracted driver.
Degree: 2015, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:b20d309b-e0de-4b17-a75f-cde32fc30dfd
► Driving a car is common but complex everyday task. Nowadays the mobile phone, infotainment and navigation systems are used while driving. These distract the driver…
(more)
▼ Driving a car is common but complex everyday task. Nowadays the mobile phone, infotainment and navigation systems are used while driving. These distract the driver from their driving task. What is the implication on driving safety? How is the car following behaviour influenced by distraction? Can this be described by a car following model? The multiple resource model tells us that there is limited resources to perform a task. Consequently when a driver performs a secondary task it is expected that its performance decrease. The car following model should be able to capture this behaviour. In this study data from a simulator experiment performed by IFSTTAR is used. Participants drove with and without a visual secondary (VST) task. The obtained driving behaviour is then modelled using the Helly and IDM model. With a traffic flow model, the influence of distracted driving on traffic flow is studied. Analysis of the simulator data showed that against expectations the subjects with VST drive closer to the lead vehicle with less speed difference. Their car following performance increased. This behavior can be explained by assuming an underload situation, where performance is suboptimal, when driving without VST. The Helly model can be used to describe the different conditions by using different parameters. The subjects are more vigilant when performing a secondary task. This better car following performance leads to an increased road capacity for the visual ST condition.
BMD
Biomech
Mechanical, Maritime and Materials Engineering
Advisors/Committee Members: Happee, R. (mentor).
Subjects/Keywords: distractio; car following; simulator experiment; traffic flow
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APA (6th Edition):
Vlaar, T. J. (. (2015). Car following model of the distracted driver. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b20d309b-e0de-4b17-a75f-cde32fc30dfd
Chicago Manual of Style (16th Edition):
Vlaar, T J (author). “Car following model of the distracted driver.” 2015. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:b20d309b-e0de-4b17-a75f-cde32fc30dfd.
MLA Handbook (7th Edition):
Vlaar, T J (author). “Car following model of the distracted driver.” 2015. Web. 08 Mar 2021.
Vancouver:
Vlaar TJ(. Car following model of the distracted driver. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:b20d309b-e0de-4b17-a75f-cde32fc30dfd.
Council of Science Editors:
Vlaar TJ(. Car following model of the distracted driver. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:b20d309b-e0de-4b17-a75f-cde32fc30dfd
Clemson University
3.
Rahman, Md.
APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS.
Degree: MS, Civil Engineering, 2013, Clemson University
URL: https://tigerprints.clemson.edu/all_theses/1763
► Both safety and the capacity of the roadway system are highly dependent on the car-following characteristics of drivers. Car-following theory describes the driver behavior…
(more)
▼ Both safety and the capacity of the roadway system are highly dependent on the
car-
following characteristics of drivers.
Car-
following theory describes the driver behavior of vehicles
following other vehicles in a traffic stream. In the last few decades, many
car-
following models have been developed; however, studies are still needed to improve their accuracy and reliability.
Car-
following models are a vital component of traffic simulation tools that attempt to mimic driver behavior in the real world. Microscopic traffic simulators, particularly
car-
following models, have been extensively used in current traffic engineering studies and safety research. These models are a vital component of traffic simulation tools that attempt to mimic real-world driver behaviors. The accuracy and reliability of microscopic traffic simulation models are greatly dependent on the calibration of
car-
following models, which requires a large amount of real world vehicle trajectory data. In this study, the author developed a process to apply a stochastic calibration method with appropriate regularization to estimate the distribution of parameters for
car-
following models. The calibration method is based on the Markov Chain Monte Carlo (MCMC) simulation using the Bayesian estimation theory that has been recently investigated for use in inverse problems. This dissertation research includes a case study, which is based on the Linear (Helly) model with a different number of vehicle trajectories in a highway network. The stochastic approach facilitated the calibration of
car-
following models more realistically than the deterministic method, as the deterministic algorithm can easily get stuck at a local minimum. This study also demonstrates that the calibrated model yields smaller errors with large sample sizes. Furthermore, the results from the Linear model validation effort suggest that the performance of the calibration method is dependent upon size of the vehicle trajectory.
Advisors/Committee Members: Chowdhury, Mashrur, Khan , Taufiqaur, Ogle , Jennifer.
Subjects/Keywords: Calibration; Car-Following; Parameter Estimation; Civil Engineering
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APA (6th Edition):
Rahman, M. (2013). APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1763
Chicago Manual of Style (16th Edition):
Rahman, Md. “APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS.” 2013. Masters Thesis, Clemson University. Accessed March 08, 2021.
https://tigerprints.clemson.edu/all_theses/1763.
MLA Handbook (7th Edition):
Rahman, Md. “APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS.” 2013. Web. 08 Mar 2021.
Vancouver:
Rahman M. APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS. [Internet] [Masters thesis]. Clemson University; 2013. [cited 2021 Mar 08].
Available from: https://tigerprints.clemson.edu/all_theses/1763.
Council of Science Editors:
Rahman M. APPLICATION OF PARAMETER ESTIMATION AND CALIBRATION METHOD FOR CAR-FOLLOWING MODELS. [Masters Thesis]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_theses/1763
California State University – Sacramento
4.
Shah, Manan Shaileshkumar.
Line following and obstacle avoiding car.
Degree: MS, Electrical and Electronic Engineering, 2011, California State University – Sacramento
URL: http://hdl.handle.net/10211.9/940
► Robots are becoming important in various fields. Robots can help humans in places where human access is limited, like deep-sea exploration, hazardous waste site, and…
(more)
▼ Robots are becoming important in various fields. Robots can help humans in places where human access is limited, like deep-sea exploration, hazardous waste site, and thermal/nuclear power plants. Path tracing and obstacle avoiding robots are intelligent robots that can perform desired tasks in unstructured environments by finding and avoiding them without any human guidance. The purpose of this project is to design autonomously driven
car, which can perform path tracing and obstacle avoiding controlled by microcontroller. IR sensors track the path and ping ultrasonic sensor sense the obstacle on the line path. If there is any obstacle, the
car will automatically divert its position to left or right. This project is very useful for industries where automated supervision is required.
Advisors/Committee Members: Pang, Jing.
Subjects/Keywords: ATmega168; WINAVR; Line-following car; Object-avoiding car
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APA (6th Edition):
Shah, M. S. (2011). Line following and obstacle avoiding car. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/940
Chicago Manual of Style (16th Edition):
Shah, Manan Shaileshkumar. “Line following and obstacle avoiding car.” 2011. Masters Thesis, California State University – Sacramento. Accessed March 08, 2021.
http://hdl.handle.net/10211.9/940.
MLA Handbook (7th Edition):
Shah, Manan Shaileshkumar. “Line following and obstacle avoiding car.” 2011. Web. 08 Mar 2021.
Vancouver:
Shah MS. Line following and obstacle avoiding car. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10211.9/940.
Council of Science Editors:
Shah MS. Line following and obstacle avoiding car. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/940
University of Utah
5.
Taylor, Jeffrey D.
Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.
Degree: MS, Civil & Environmental Engineering, 2014, University of Utah
URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527
► Traffic simulations, which attempt to describe how individual vehicles move on road segments in a network, rely on mathematical traffic flow models developed from empirical…
(more)
▼ Traffic simulations, which attempt to describe how individual vehicles move on road segments in a network, rely on mathematical traffic flow models developed from empirical vehicle trajectory data (position, speed, acceleration, etc.). Many of these microscopic traffic flow models are described as car-following models, which assume that a driver will respond to the actions of the driver/s or vehicle/s located in front of them (stimulus-response behavior). Model calibration can be performed using regression and/or optimization techniques, but the process is often complicated by uncertainty and variation in human behavior, which can be described as driver heterogeneity.Driver heterogeneity is conceptually based on the idea that different drivers may have different reactions to the same stimuli (interdriver heterogeneity), and an individual driver may react differently to the same type of stimulus (intradriver heterogeneity). To capture interdriver heterogeneity, car-following model parameters must be estimated for each driver/vehicle in the dataset, which are then used to describe a probability distribution associated with those model parameters. Capturing intradriver heterogeneity requires going one step further, calculating those same model parameters over much smaller time periods (i.e., seconds, or fractions of sections) within one vehicle’s trajectory. This significantly reduces the amount of data available for calibration, limiting the ability to use traditional calibration procedures.
Subjects/Keywords: Car following model; Driver behavior; Dynamic time warping; Heterogeneity; NGSIM
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APA (6th Edition):
Taylor, J. D. (2014). Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527
Chicago Manual of Style (16th Edition):
Taylor, Jeffrey D. “Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.” 2014. Masters Thesis, University of Utah. Accessed March 08, 2021.
http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527.
MLA Handbook (7th Edition):
Taylor, Jeffrey D. “Computational methods for investigating intradriver heterogeneity using vehicle trajectory data.” 2014. Web. 08 Mar 2021.
Vancouver:
Taylor JD. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. [Internet] [Masters thesis]. University of Utah; 2014. [cited 2021 Mar 08].
Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527.
Council of Science Editors:
Taylor JD. Computational methods for investigating intradriver heterogeneity using vehicle trajectory data. [Masters Thesis]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3159/rec/527
6.
Rodrigues, Bruno Daniel Cerdeira.
Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário.
Degree: 2011, RCAAP
URL: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8246
► Mestrado em Engenharia Informática
O problema do tráfego rodoviário tem vindo a assumir uma crescente importância devido aos seus efeitos negativos na sociedade moderna, capazes…
(more)
▼ Mestrado em Engenharia Informática
O problema do tráfego rodoviário tem vindo a assumir uma crescente importância devido aos
seus efeitos negativos na sociedade moderna, capazes de originar a diminuição da
produtividade, da qualidade de vida e a degradação do meio ambiente. No domínio da
simulação social, o investimento em simuladores baseados em agentes capazes de analisar os
fenómenos de tráfego rodoviário tem aumentado. Uma das áreas fundamentais no estudo de
modelos de tráfego é o fluxo gerado pela interacção dos veículos. Este processo designa-se
car-following.
Com o objectivo de aprofundar a integração de algoritmos de car-following em plataformas e
ambientes de simulação social, este trabalho analisa, estende e implementa dois algoritmos de
car-following no ambiente Netlogo. Os dois algoritmos baseiam-se em abordagens distintas:
um inspirado por sistemas multiagente, baseado em estados cognitivos e regras de decisão; e
outro baseado na dinâmica de posição e da velocidade dos veículos. Os dois algoritmos são
analisados comparativamente, destacando-se os seus pontos fortes, pontos fracos e a sua
validade. Os resultados obtidos validam de diferentes maneiras o impacto dos comportamentos
produzidos no fluxo de tráfego e sugerem que o algoritmo inspirado em sistemas multiagente
aparenta produzir comportamentos mais realistas.
The problem of road traffic has been assuming a growing importance due to its negative effects
on modern society, which can lead to lower productivity, declining of quality of life and
environmental degradation. In the area of social simulation the investm ent in agent-based
simulators, capable of analysing these phenomena, has been increased. One of the key areas
in the study of traffic road models is the flow generated by the interaction of vehicles. This
process is called car-following.
In order to deepen the integration of car-following algorithms across platforms and social
simulation environments, this work analyses, extends and implements two car-following
algorithms in Netlogo. These algorithms are based on different approaches: one inspired by
multi-agent systems, based on decision-rules and cognitive states; and another based on the
dynamics of position and vehicle speed. Both algorithms are analysed and compared,
highlighting their strengths, weaknesses and its validity. The results authenticate the impact of
behaviours produced in the flow of traffic in different ways and suggests that the algorithm
based on multi-agent systems seems to produce more realistic behaviour.
Advisors/Committee Members: David, Nuno.
Subjects/Keywords: Car-following; Sistemas multi-agente; Netlogo; IDM; Multi-agent systems
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APA (6th Edition):
Rodrigues, B. D. C. (2011). Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8246
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Rodrigues, Bruno Daniel Cerdeira. “Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário.” 2011. Thesis, RCAAP. Accessed March 08, 2021.
https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8246.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Rodrigues, Bruno Daniel Cerdeira. “Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário.” 2011. Web. 08 Mar 2021.
Vancouver:
Rodrigues BDC. Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário. [Internet] [Thesis]. RCAAP; 2011. [cited 2021 Mar 08].
Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8246.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Rodrigues BDC. Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário. [Thesis]. RCAAP; 2011. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/8246
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
7.
Gamboa, João Pedro Sousa.
TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego.
Degree: 2016, Repositório Científico do Instituto Politécnico de Lisboa
URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/6065
► Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Vias de Comunicação e Transportes
Nas últimas décadas, com o…
(more)
▼ Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Vias de Comunicação e Transportes
Nas últimas décadas, com o aumento do poder de processamento dos computadores disponíveis para o utilizador comum, tem-se verificado uma crescente adesão a meios informáticos que permitem a análise e resolução de problemas de engenharia de formasignificativamente mais eficiente e, frequentemente, mais fiel à realidade do que recorrendo aos métodos simplificados clássicos.
No âmbito da Engenharia de Tráfego, observa-se não só a tentativa de adaptação dos modelos analíticos a formatos informáticos, mas também o desenvolvimento de programas informáticos que permitem a criação e representação de modelos que simulam o comportamento dos utilizadores da rede viária a diferentes escalas. Por um lado, ao nível macroscópico, observa-se a evolução dos fluxos de tráfego na rede (simulação macroscópica) e, por outro, ao nível microscópico, no qual se desenvolve o modelo à escala do individuo, simula-se o comportamento de cada agente e a sua influência no desempenho da rede (simulação microscópica ou microssimulação).
Neste documento, expõem-se os campos de aplicação comercial e académica das ferramentas de simulação de tráfego disponíveis no mercado, comparando as funcionalidades presentes em cinco dos programas de simulação mais populares e guiando o leitor para a escolha da ferramenta de análise de tráfego apropriada às suas necessidades. Adicionalmente, é apresentada uma metodologia para o desenvolvimento de modelos de simulação microscópica, uma avaliação das limitações destes modelos e uma análise da forma como os resultados obteníveis com ferramentas de simulação se comparam com metodologias analíticas clássicas (HCM – Highway Capacity Manual).
Finalmente, apresentam-se os modelos comportamentais de car-following e lane changingque atuam na inteligência artificial dos condutores presentes na rede e desenvolve-se um simulador de tráfego em Java. Este último, com a finalidade de permitir a análise da influência dos parâmetros de calibração dos modelos comportamentais no tráfego, possibilitando ao utilizador a sua manipulação em tempo real.
Adicionalmente, efetua-se uma revisão do programa comercial Vissim [1], demonstrando as etapas e precauções a tomar no desenvolvimento de um modelo. Neste âmbito, desenvolvese um modelo da implementação de uma via de alta ocupação na praça de portagens da ponte 25 de Abril, em Lisboa, Portugal.
Over the course of the last few decades, along with the advancements in processing power of personal computers, there has been a growing gravitation towards the use of programmatic means for the analysis and resolution of engineering problems in a more efficient fashion and, frequently, with a better representation of reality than classic simplified methodologies.
In Traffic Engineering …
Advisors/Committee Members: Martins, Paulo José de Matos.
Subjects/Keywords: Simulação; Tráfego; Microssimulação; Vissim; Simulation; Traffic; Microsimulation; Car-following
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APA (6th Edition):
Gamboa, J. P. S. (2016). TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/6065
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Gamboa, João Pedro Sousa. “TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego.” 2016. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed March 08, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/6065.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Gamboa, João Pedro Sousa. “TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego.” 2016. Web. 08 Mar 2021.
Vancouver:
Gamboa JPS. TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2016. [cited 2021 Mar 08].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/6065.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Gamboa JPS. TRFS: desenvolvimento de um protótipo para simulação microscópica de tráfego. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2016. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/6065
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
8.
Ahmad, Saifizul Abdullah.
Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析.
Degree: 博士（工学）, 2011, Tokushima University / 徳島大学
URL: http://repo.lib.tokushima-u.ac.jp/83497
► This study attempts to explore empirically how gross vehicle weight (GVW) will affecttraffic flow characteristics in both free-flow and vehicle following situations. The successof the…
(more)
▼ This study attempts to explore empirically how gross vehicle weight (GVW) will affecttraffic flow characteristics in both free-flow and vehicle following situations. The successof the study is highly dependent on the empirical data provided by the traffic datacollectionsystem.Currently, many kinds of systems or devices are available which measure or monitor orenforce traffic dedicatedly. The use of these dedicated or nonintegrated systems ordevices in traffic data-collection or monitoring and traffic enforcement is useful in certainapplication, especially when only dedicated parameter is considered.However, these devices may have limited measurement capabilities and unsuitable forthis study, where the devices are incapable of simultaneously measuring all essentialtraffic and vehicle parameters such as speed, headway as well as weight in real-time. Theuse of these dedicated devices for this study will result in data inconsistency andincomprehensive measurable traffic parameters.Thus, a comprehensive and continuous traffic data-collection system based on weigh-inmotiontechnology has been developed and installed at one of the federal roads inMalaysia for study purposes. The developed system is capable of simultaneously andcontinuously measuring large sample and all essential traffic and vehicle parameters inreal-time. It also uses the minimum number of sensors necessary to provide the maximumnumber of various traffic and vehicle parameters.Statistical analysis was then performed to the collected data to quantify that the grossvehicle weight can have a significant effect in traffic flow characteristics in both freeflow and following situations. The results lead to explore the driver behavior incontrolling the vehicle from two different perspective: driver’s visual input and vehicledynamics capability.The first empirical analysis results showed that statistically for each type of heavy vehicle,there was a significant relationship between free flow speed of a heavy vehicle and itsGVW. Specifically, the results suggest that the mean and variance of free flow speeddecrease with an increase GVW by the amount unrelated to size and shape for all GVWrange. Then, based on the 85th percentile principle, this study proposed a new concept forsetting differential speed limit for heavy vehicle by incorporating GVW where a differentspeed limit is imposed to the heavy vehicle according to its GVW.The second empirical analysis results showed that how GVW of following vehicle andsize of leading vehicle will affect the driver behavior in controlling their speed underdifferent compositions of leader-follower pairs in a car-following situation. The mainfindings of this study are when we incorporate the vehicle dynamic’s capability in a carfollowingsituation, the GVW of following vehicle and the size of leading vehicle weresignificant sources of variation in following vehicle speed and relative speed, and theirinteraction influence the driver behavior in controlling the speed.The third study investigated empirically how different composition…
Subjects/Keywords: Weigh-in-motion; Traffic-flow; Free-flow-speed; Car-following-characteristics
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APA (6th Edition):
Ahmad, S. A. (2011). Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析. (Thesis). Tokushima University / 徳島大学. Retrieved from http://repo.lib.tokushima-u.ac.jp/83497
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ahmad, Saifizul Abdullah. “Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析.” 2011. Thesis, Tokushima University / 徳島大学. Accessed March 08, 2021.
http://repo.lib.tokushima-u.ac.jp/83497.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ahmad, Saifizul Abdullah. “Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析.” 2011. Web. 08 Mar 2021.
Vancouver:
Ahmad SA. Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析. [Internet] [Thesis]. Tokushima University / 徳島大学; 2011. [cited 2021 Mar 08].
Available from: http://repo.lib.tokushima-u.ac.jp/83497.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ahmad SA. Development of Integrated Weigh-in-motion System and Analysis of Traffic Flow Characteristics considering Vehicle Weight : 統合型走行時車両重量計測装置の開発と車両重量を考慮した交通流特性の分析. [Thesis]. Tokushima University / 徳島大学; 2011. Available from: http://repo.lib.tokushima-u.ac.jp/83497
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Georgia Tech
9.
Xu, Tu.
Parameter estimation and statistical inference of a two-regime car-following model.
Degree: PhD, Civil and Environmental Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/63635
► This thesis presents the formulation of a family of two-regime car-following models where both free-flow and congestion regimes obey random processes. This formulation generalizes previous…
(more)
▼ This thesis presents the formulation of a family of two-regime
car-
following models where both free-flow and congestion regimes obey random processes. This formulation generalizes previous efforts based on Brownian and geometric Brownian acceleration processes, each reproducing a different feature of traffic instabilities. We show that the unified model is able to capture virtually all types of traffic instabilities consistently with empirical data, including formation and propagation of oscillations, capacity drop in the absence of lane changes, and the concave growth pattern of vehicle speeds along a platoon. The probability density of vehicle positions turns out to be analytical in our model, and therefore parameters can be estimated using maximum likelihood. This allows us to test a wide variety of hypotheses using statistical inference methods, such as the homogeneity of the driver/vehicle population and the statistical significance of the impacts of roadway geometry. Using data from two controlled
car-
following experiments and one uncontrolled
car-
following dataset, we find that (i) model parameters are similar across repeated experiments within the same dataset but different across datasets, (ii) the acceleration error process is closer to a Brownian motion, and (iii) drivers press the gas pedal harder than usual when they come to an upgrade segment. The model is flexible so that newer vehicle technologies can be incorporated to test such hypotheses as differences in the
car-
following parameters of automated and regular vehicles, when data becomes available.
Advisors/Committee Members: Laval, Jorge (advisor), Hunter, Michael (committee member), Mokhtarian, Patricia (committee member), Liu, Haobing (committee member), Maguluri, Siva Theja (committee member).
Subjects/Keywords: Car-following model; Traffic instability; Maximum likelihood estimation
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APA ·
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Manager
APA (6th Edition):
Xu, T. (2020). Parameter estimation and statistical inference of a two-regime car-following model. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63635
Chicago Manual of Style (16th Edition):
Xu, Tu. “Parameter estimation and statistical inference of a two-regime car-following model.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 08, 2021.
http://hdl.handle.net/1853/63635.
MLA Handbook (7th Edition):
Xu, Tu. “Parameter estimation and statistical inference of a two-regime car-following model.” 2020. Web. 08 Mar 2021.
Vancouver:
Xu T. Parameter estimation and statistical inference of a two-regime car-following model. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1853/63635.
Council of Science Editors:
Xu T. Parameter estimation and statistical inference of a two-regime car-following model. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63635
University of Texas – Austin
10.
-9138-510X.
The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models.
Degree: PhD, Civil Engineering, 2019, University of Texas – Austin
URL: http://dx.doi.org/10.26153/tsw/2642
► Car-following behavior has been studied since the 1940s. However, complex calibration requirements and challenges with collecting high-resolution data have stunted advancements in this domain. Thus,…
(more)
▼ Car-
following behavior has been studied since the 1940s. However, complex calibration requirements and challenges with collecting high-resolution data have stunted advancements in this domain. Thus, methodologies to adequately capture naturalistic behavioral heterogeneity are largely missing from the literature.
For this dissertation, a sample from the second Strategic Highway Research Program Naturalistic Driving Study was analyzed. This sample contains 665 trips completed on freeways in clear weather conditions. Driver demographics, vehicle CAN bus, and external sensor data are available for each trip. The trajectories in this sample were processed and used to calibrate the Gipps, Intelligent Driver Model, and Wiedemann 99
car-
following models.
This dissertation seeks to improve how inter-driver heterogeneity in
car-
following behavior is accounted for in microsimulation models. This dissertation has three primary objectives. Objective 1 identifies which driver attributes are sources of inter-driver heterogeneity. Objective 2 explores the viability of using census-level data to calibrate microsimulation models. Objective 3 develops and evaluates a new mechanism for properly capturing inter-driver heterogeneity in microsimulation: an ensemble
car-
following model.
To achieve these objectives, first, Kruskal-Wallis one-way analysis of variance tests were applied to show statistically significant differences in both the estimated
car-
following model calibration coefficients and the overall model performance across groups of drivers categorized by commonalities in their driver attributes.
Next, the Expectation Maximization clustering algorithm was applied to show that, despite differences in driver behavior, homogeneous driver groups, or groups of drivers that behave similarly, exist in the dataset. Moreover, this dissertation shows that drivers can be classified into their proper homogeneous driver group only knowing their driver specific attributes.
Finally, VISSIM was used to implement the homogeneous driver groups in microsimulation. This case study illustrated that when inter-driver differences in driving behavior are explicitly modeled, there are notable impacts on the performance metrics collected from the microsimulation models. These performance metrics are ultimately used by decision makers to evaluate alternatives for transportation funding. Thus, this dissertation provides evidence of the importance of appropriately modeling inter-driver differences to improve the quality of the microsimulation model results and inform better funding allocation decisions.
Advisors/Committee Members: Boyles, Stephen David, 1982- (advisor), Machemehl, Randy (committee member), Waller, Travis (committee member), Zhang, Zhanmin (committee member).
Subjects/Keywords: Naturalistic data; Behavioral heterogeneity; Car-following models; Calibration
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APA ·
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APA (6th Edition):
-9138-510X. (2019). The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2642
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Chicago Manual of Style (16th Edition):
-9138-510X. “The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed March 08, 2021.
http://dx.doi.org/10.26153/tsw/2642.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
MLA Handbook (7th Edition):
-9138-510X. “The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models.” 2019. Web. 08 Mar 2021.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Vancouver:
-9138-510X. The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Mar 08].
Available from: http://dx.doi.org/10.26153/tsw/2642.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Council of Science Editors:
-9138-510X. The development of a holistic approach to modeling driver behavior : accounting for driver heterogeneity in car-following models. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2642
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
11.
Flores, Carlos.
Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following.
Degree: Docteur es, Mathématiques, informatique temps réel, robotique, 2018, Paris Sciences et Lettres (ComUE)
URL: http://www.theses.fr/2018PSLEM048
► L'adoption récente et généralisée des systèmes d'automatisation des véhicules, avec l’incorporation de la connectivité entre voitures, a encouragé l’utilisation des techniques comme le Contrôle Croisière…
(more)
▼ L'adoption récente et généralisée des systèmes d'automatisation des véhicules, avec l’incorporation de la connectivité entre voitures, a encouragé l’utilisation des techniques comme le Contrôle Croisière Adaptatif Coopératif (CACC) et la conduite en convoi. Ces techniques ont prouvé l’amélioration du flux de trafic et la sécurité de la conduite, tout en réduisant la consommation d’énergie et les émissions CO_2. Néanmoins, la robustesse et la stabilité stricte du convoi, malgré les délais de communication et l’hétérogénéité des convois, restent des sujets de recherche en cours. Cette thèse a pour sujet la conception, l’analyse et validation de systèmes de contrôle pour le car-following automatisé et coopératif, en ciblant l’augmentation de ses avantages et son usage, en se concentrant sur la robustesse et la stabilité du convoi même sur des séries de véhicules hétérogènes avec des retards de communication. Une structure feedforward/feedback est développée, dont sa modularité est fondamentale pour la mise au point des approches avec des objectifs différents mais complémentaires. L’architecture permet non seulement l’adoption d’une stratégie d’espacement pour la range entière de vitesse, mais elle peut aussi être employée dans le cadre d’un CACC basé sur une machine d’état pour la conduite en convoi sur des environnements urbains avec des capacités de freinage d’urgence et de rejoint du convoi. Des différents algorithmes pour la conception de systèmes de contrôle feedback pour la régulation des distances sont présentés, pour quoi le calcul d’ordre fractionnaire démontre fournir des réponses fréquentielles de boucle fermé plus précises et satisfaire des besoins plus exigeantes. La performance est assurée malgré l’hétérogénéité avec la proposition de deux approches feedforward différents. Le premier est basé sur une topologie en considérant que le véhicule précédent dans la boucle, tandis que le deuxième inclut le véhicule leader pour améliorer la performance de suivi. Les algorithmes proposés sont validés avec des études de stabilité dans le domaine du temps et fréquence, ainsi que simulations et expérimentations réelles.
Recent widespread adoption of vehicle automation and introduction of vehicle-to-vehicle connectivity has opened the doors for techniques as Cooperative Adaptive Cruise Control (CACC) and platooning, showing promising results in terms of traffic capacity and safety improvement, while reducing fuel consumption and CO_2 emissions. However, robustness and strict string stability, despite communication delays and string heterogeneity is still an on-going research field. This thesis deals with the design, study and validation of control systems for cooperative automated car-following, with the purpose of extending their benefits and encourage their employment, focusing on robustness and string stability, despite possible V2V communication delays and string heterogeneity. A feedforward/feedback hierarchical control structure is developed, which modularity is fundamental for the proposal of approaches that…
Advisors/Committee Members: Nashashibi, Fawzi (thesis director), Milanes, Vicente (thesis director).
Subjects/Keywords: Car-following automatisé; Contrôle coopératif; Stabilité du convoi; Convois hétérogènes; Contrôle d'ordre fractionnaire; Automated car-following; Cooperative control; String stability; Heterogeneous strings; Fractional-order control; 629.89
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Flores, C. (2018). Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following. (Doctoral Dissertation). Paris Sciences et Lettres (ComUE). Retrieved from http://www.theses.fr/2018PSLEM048
Chicago Manual of Style (16th Edition):
Flores, Carlos. “Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following.” 2018. Doctoral Dissertation, Paris Sciences et Lettres (ComUE). Accessed March 08, 2021.
http://www.theses.fr/2018PSLEM048.
MLA Handbook (7th Edition):
Flores, Carlos. “Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following.” 2018. Web. 08 Mar 2021.
Vancouver:
Flores C. Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres (ComUE); 2018. [cited 2021 Mar 08].
Available from: http://www.theses.fr/2018PSLEM048.
Council of Science Editors:
Flores C. Architecture de contrôle pour le car-following adaptatif et coopératif : Control architecture for adaptive and cooperative car-following. [Doctoral Dissertation]. Paris Sciences et Lettres (ComUE); 2018. Available from: http://www.theses.fr/2018PSLEM048
12.
Vasconcelos, Luís.
Avaliação do desempenho operacional de rotundas: modelos e aplicações.
Degree: 2014, RCAAP
URL: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipv.pt:10400.19/2354
► Ao longo das três últimas décadas, as rotundas têm vindo a substituir as interseções prioritárias em muitos países, assegurando elevados níveis de aceitação. As condições…
(more)
▼ Ao longo das três últimas décadas, as rotundas têm vindo a substituir as interseções prioritárias em muitos países, assegurando elevados níveis de aceitação. As condições de funcionamento de uma rotunda em termos de capacidade, segurança e emissões dependem da sua tipologia, das suas características geométricas e dos níveis de procura, importando dispor de modelos de avaliação operacional que apoiem os projetistas nos processos de seleção e conceção geométrica das soluções mais adequadas. Esta tese, desenvolvida em três fases, contribui para potenciar o desempenho e aplicabilidade desses modelos.
A primeira fase incidiu nos modelos de capacidades baseados na teoria de gap-acceptance. O trabalho foi desenvolvido utilizando uma base de dados reais, recolhidos em seis rotundas portuguesas, e teve como objetivo otimizar a aplicabilidade do modelo generalizado de Hagring. Foi proposto um novo método de estimação dos parâmetros da distribuição estatística Cowan M3 a partir de uma distribuição empírica de intervalos entre veículos prioritários, com base no qual se obteve uma expressão de parametrização que depende apenas dos fluxos conflituantes. De seguida, analisaram-se diferentes métodos de estimação de intervalos críticos e complementares, obtiveram-se parâmetros calibrados para as condições portuguesas e efetuou-se uma comparação com valores de referência de outros países. Verificou-se que a fórmula de capacidades resultante possui uma elevada capacidade explicativa e produz estimativas que se ajustam muito bem às capacidades observadas. Finalmente, propôs-se uma nova metodologia de estimação de intervalos críticos para movimentos de atravessamento e de inserção em rotundas. O modelo proposto descreve o processo de gap-acceptance a nível microscópico, considerando as características da unidade veículo-condutor e a geometria da manobra. Tendo por referência resultados obtidos com modelos convencionais de estimação, concluiu-se que a nova abordagem é promissora, requerendo contudo o desenvolvimento de um submodelo de previsão de margens de segurança para maximizar o seu potencial.
A segunda fase centrou-se no estudo dos modelos de microssimulação de tráfego tendo em vista a sua aplicação mais eficiente à análise do desempenho de rotundas nas suas mais variadas tipologias. Desenvolveu-se em primeiro lugar uma metodologia híbrida de calibração do modelo de microssimulação Aimsun, em que os parâmetros envolvidos no submodelo de
car-
following de Gipps são estimados com base em dados macroscópicos e os restantes parâmetros são estimados através de um processo de otimização, assente num algoritmo genético. Verificou-se que os parâmetros resultantes da estimação macroscópica são robustos, o que permite a sua aplicação em novas localizações apenas com ajustamentos pontuais. De seguida, avaliou-se as condições de aplicabilidade da metodologia de análise de segurança SSAM (Surrogate Safety Assessment Model). O trabalho consistiu na validação desse modelo através de dois métodos distintos: o primeiro compara o número de conflitos…
Advisors/Committee Members: Seco, Álvaro, Bastos Silva, Ana.
Subjects/Keywords: Rotunda; Turbo-rotunda; Capacidade; Gap-acceptance; Cowan M3; Car-Following; SSAM; Aimsun; Segurança; Acidente
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APA ·
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to Zotero / EndNote / Reference
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APA (6th Edition):
Vasconcelos, L. (2014). Avaliação do desempenho operacional de rotundas: modelos e aplicações. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipv.pt:10400.19/2354
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Vasconcelos, Luís. “Avaliação do desempenho operacional de rotundas: modelos e aplicações.” 2014. Thesis, RCAAP. Accessed March 08, 2021.
https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipv.pt:10400.19/2354.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Vasconcelos, Luís. “Avaliação do desempenho operacional de rotundas: modelos e aplicações.” 2014. Web. 08 Mar 2021.
Vancouver:
Vasconcelos L. Avaliação do desempenho operacional de rotundas: modelos e aplicações. [Internet] [Thesis]. RCAAP; 2014. [cited 2021 Mar 08].
Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipv.pt:10400.19/2354.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Vasconcelos L. Avaliação do desempenho operacional de rotundas: modelos e aplicações. [Thesis]. RCAAP; 2014. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipv.pt:10400.19/2354
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Iowa State University
13.
Lu, Chaoru.
Estimate freeway travel time reliability under recurring and nonrecurring congestion.
Degree: 2017, Iowa State University
URL: https://lib.dr.iastate.edu/etd/16170
► Travel time and its reliability are considered as intuitive measure of service quality by transportation agencies. Moreover, highly reliable travel times allow for arriving at…
(more)
▼ Travel time and its reliability are considered as intuitive measure of service quality by transportation agencies. Moreover, highly reliable travel times allow for arriving at work or other destinations on time in the context of personal travel and facilitate just-in-time logistics services in freight operations. Travel times are the result of the traffic congestion. By considering different impact factors and shortcoming of the sensing technologies, this dissertation proposed methods for travel time and its reliability estimation.
First of all, this dissertation presented a method to estimate corridor-level travel times based on data collected from roadside radar sensors, considering spatially correlated traffic conditions. Link-level and corridor-level travel time distributions are estimated using these travel time estimates and compared with the ones estimated based on probe vehicle data. The maximum likelihood estimation is used to estimate the parameters of Weibull, gamma, normal, and lognormal distributions. According to the log likelihood values, lognormal distribution is the best fit among all the tested distributions. Corridor-level travel time reliability measures are extracted from the travel time distributions. The proposed travel time estimation model can well capture the temporal pattern of travel time and its distribution.
Second, a travel time reliability measure estimation method is proposed by incorporating standstill distance and time headway distributions in car-following models. The method is based on simplified two-component travel time distribution. By using Monte Carlo simulation, the speed-density region under congested condition and the travel time reliability measures can be generated. The results shows that the speed-density region derived from the steady-state Pipes model encloses most of the field data. Moreover, the proposed method estimate travel time reliability measures more precisely and faster, compared with using VISSIM simulation.
Finally, a work zone travel time estimation approach is proposed in this dissertation. First, the impact of work zone on capacity is investigated. For the work zone capacity prediction framework, the predicted upper bound of capacity is close to the maximum 15-min flow rate. Moreover, based on the predicted capacity, density at capacity and free flow speed, work zone travel times are estimated by using the modified segment speed estimation model from the study of Newman. The estimated travel times roughly followed the pattern of the INRIX travel times. Moreover, the travel time reliability indices are estimated directly from the estimated travel times. The result shows that the travel time reliability indices based on estimated travel times are close to the indices based on INRIX travel times.
Subjects/Keywords: capacity; car-following model; pre-break down; travel time reliability; work zone; Civil Engineering
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lu, C. (2017). Estimate freeway travel time reliability under recurring and nonrecurring congestion. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16170
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lu, Chaoru. “Estimate freeway travel time reliability under recurring and nonrecurring congestion.” 2017. Thesis, Iowa State University. Accessed March 08, 2021.
https://lib.dr.iastate.edu/etd/16170.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lu, Chaoru. “Estimate freeway travel time reliability under recurring and nonrecurring congestion.” 2017. Web. 08 Mar 2021.
Vancouver:
Lu C. Estimate freeway travel time reliability under recurring and nonrecurring congestion. [Internet] [Thesis]. Iowa State University; 2017. [cited 2021 Mar 08].
Available from: https://lib.dr.iastate.edu/etd/16170.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lu C. Estimate freeway travel time reliability under recurring and nonrecurring congestion. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16170
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
14.
Pizzigoni, Edoardo (author).
ACC target performance setting via NDS big data analysis.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
► Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing…
(more)
▼ Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major
car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and casualties. However, a significant shift from conventional to automated vehicles must occur before it can have a positive impact on society. If the behaviour of the vehicle is not perceived as natural, the user will most likely not activate the ADAS features again. During this study a naturalistic dataset is used to investigate the driver behaviour, in the hope of bringing the current ACC logic to a more human-like behaviour that will feel more natural to the driver. The research question summarizes the final objective of this study: How can Naturalistic Driving Study (NDS) datasets be used in target performance setting for ACC systems? This study will answer the research question by studying human behaviour in the scene of
following an accelerating vehicle. The main body of this thesis is divided in three chapters, one for each step of the research. First the information about the used datasets are provided together with the methodologies used to extract the relevant time-series data. Secondly driver behaviour models are created in order to mathematically characterize human behaviour. The strength of the created models is their ability to represent the full range of driver behaviour in terms of driving style. The aggressiveness parameter of the model can be easily adjusted to represent different percentiles of driver behaviour. This allows for a quick and effective tuning process: by changing a single parameter the driving style of the model can be fully modified. Finally, the driver behaviour models are implemented into a simulation environment. The models are simulated against an existing ACC logic in order to assess the difference in behaviour. The comparison highlighted two conclusions: first, the ACC logic behaves in a very conservative way compared to driver behaviour, especially when starting from standstill. Secondly, the kept by the ACC logic was not consistent throughout the speed range. This variation of the logic's driving style could result even more bothersome to the customer than its general conservative behaviour. The string stability of the driver behaviour models was also assessed. Although the proposed logic proved more stable than the regular ACC logic, it still cannot reach full string stability. Hopefully, with the method developed in this study, the process of getting accustomed to this new technology will become easier for the customer. Thanks to the driver behaviour models the motion of the vehicle can feel familiar and predictable, with the controller becoming part of the Human Machine Interface (HMI). As the customer gets more familiar with this technology his expectation will also increase and change, especially as the levels of automation start to…
Advisors/Committee Members: Happee, Riender (mentor), Wang, Meng (graduation committee), Stapel, Jork (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: ACC; ADAS; driver modeling; driver behaviour; Automated vehicles; car following; naturalistic driving study
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APA (6th Edition):
Pizzigoni, E. (. (2019). ACC target performance setting via NDS big data analysis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
Chicago Manual of Style (16th Edition):
Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.
MLA Handbook (7th Edition):
Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Web. 08 Mar 2021.
Vancouver:
Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.
Council of Science Editors:
Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
Virginia Tech
15.
Chen, Rong.
Driver Behavior in Car Following - The Implications for Forward Collision Avoidance.
Degree: PhD, Biomedical Engineering, 2016, Virginia Tech
URL: http://hdl.handle.net/10919/71785
► Forward Collision Avoidance Systems (FCAS) are a type of active safety system which have great potential for rear-end collision avoidance. These systems use either radar,…
(more)
▼ Forward Collision Avoidance Systems (FCAS) are a type of active safety system which have great potential for rear-end collision avoidance. These systems use either radar, lidar, or cameras to track objects in front of the vehicle. In the event of an imminent collision, the system will warn the driver, and, in some cases, can autonomously brake to avoid a crash. However, driver acceptance of the systems is paramount to the effectiveness of a FCAS system. Ideally, FCAS should only deliver an alert or intervene at the last possible moment to avoid nuisance alarms, and potentially have drivers disable the system. A better understanding of normal driving behavior can help designers predict when drivers would normally take avoidance action in different situations, and customize the timing of FCAS interventions accordingly. The overall research object of this dissertation was to characterize normal driver behavior in
car following events based on naturalistic driving data.
The dissertation analyzed normal driver behavior in
car-
following during both braking and lane change maneuvers. This study was based on the analysis of data collected in the Virginia Tech Transportation Institute 100-
Car Naturalistic Driving Study which involved over 100 drivers operating instrumented vehicles in over 43,000 trips and 1.1 million miles of driving. Time to Collision in both braking and lane change were quantified as a function of vehicle speed and driver characteristics. In general, drivers were found to brake and change lanes more cautiously with increasing vehicle speed. Driver age and gender were found to have significant influence on both time to collision and maximum deceleration during braking. Drivers age 31-50 had a mean braking deceleration approximately 0.03 g greater than that of novice drivers (age 18-20), and female drivers had a marginal increase in mean braking deceleration as compared to male drivers. Lane change maneuvers were less frequent than braking maneuvers. Driver-specific models of TTC at braking and lane change were found to be well characterized by the Generalized Extreme Value distribution. Lastly, driver's intent to change lanes can be predicted using a bivariate normal distribution, characterizing the vehicle's distance to lane boundary and the lateral velocity of the vehicle.
This dissertation presents the first large scale study of its kind, based on naturalistic driving data to report driver behavior during various
car-
following events. The overall goal of this dissertation is to provide a better understanding of driver behavior in normal driving conditions, which can benefit automakers who seek to improve FCAS effectiveness, as well as regulatory agencies seeking to improve FCAS vehicle tests.
Advisors/Committee Members: Gabler, Hampton Clay (committeechair), Kemper, Andrew R. (committee member), Perez, Miguel A. (committee member), Duma, Stefan M. (committee member), Gayzik, Francis S. (committee member).
Subjects/Keywords: driver behavior; car following; naturalistic driving data; forward collision avoidance system; active safety; autonomous vehicle
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APA (6th Edition):
Chen, R. (2016). Driver Behavior in Car Following - The Implications for Forward Collision Avoidance. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71785
Chicago Manual of Style (16th Edition):
Chen, Rong. “Driver Behavior in Car Following - The Implications for Forward Collision Avoidance.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/71785.
MLA Handbook (7th Edition):
Chen, Rong. “Driver Behavior in Car Following - The Implications for Forward Collision Avoidance.” 2016. Web. 08 Mar 2021.
Vancouver:
Chen R. Driver Behavior in Car Following - The Implications for Forward Collision Avoidance. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/71785.
Council of Science Editors:
Chen R. Driver Behavior in Car Following - The Implications for Forward Collision Avoidance. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71785
Virginia Tech
16.
Islam, Md Rauful.
A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics.
Degree: MS, Civil Engineering, 2019, Virginia Tech
URL: http://hdl.handle.net/10919/99464
► This study explores the potential of vehicle trajectory data obtained from Wide Area Motion Imagery for modeling and analyzing traffic characteristics. The data in question…
(more)
▼ This study explores the potential of vehicle trajectory data obtained from Wide Area Motion Imagery for modeling and analyzing traffic characteristics. The data in question is collected by PV Labs and also known as persistent wide-area video. This video, in combination with PVLab's integrated Tactical Content Management System's spatiotemporal capability, automatically identifies and captures every vehicle in the video view frame, storing each vehicle with a discrete ID, track ID, and time-stamped location. This unique data capture provides comprehensive vehicle trajectory information. This thesis explores the use of data collected by the PVLab's system for an approximate area of 4 square kilometers area in the CBD area of Hamilton, Canada for use in understanding traffic characteristics. The data was collected for two three-hour continuous periods, one in the morning and one in the evening of the same day. Like any other computer vision algorithm, this data suffers from false detection, no detection, and other inaccuracies caused by faulty image registration. Data filtering requirements to remove noisy trajectories and reduce error is developed and presented. A methodology for extracting microscopic traffic data (gap, relative velocity, acceleration, speed) from the vehicle trajectories is presented in details.
This study includes the development of a data model for storing this type of large-scale spatiotemporal data. The proposed data model is a combination of two efficient trajectory data storing techniques, the 3-D schema and the network schema and was developed to store trajectory information along with associated microscopic traffic information. The data model is designed to run fast queries on trajectory information. A 15-minute sample of tracks was validated using manual extraction from imagery frames from the video. Microscopic traffic data is extracted from this trajectory data using customized GIS analysis. Resulting tracks were map-matched to roads and individual lanes to support macro and microscopic traffic characteristic extraction. The final processed dataset includes vehicles and their trajectories for an area of approximately 4-square miles that includes a dense and complex urban network of roads over two continuous three-hour periods.
Two subsets of the data were extracted, cleaned, and processed for use in calibrating
car-
following sub-models used in microscopic simulations. The
car-
following model is one of the cornerstones of any simulation based traffic analysis. Calibrating and validating these models is essential for enhancing the ability of the model's capability of representing local traffic. Calibration efforts have previously been limited by the availability and accuracy of microscopic traffic data. Even datasets like the NGSIM data are restricted in either time or space. Trajectory data of all vehicles over a wide area during an extended period of time can provide new insight into microscopic models. Persistent wide-area imagery provides a source for this data. This study explores…
Advisors/Committee Members: Hancock, Kathleen L. (committeechair), Rakha, Hesham A. (committee member), Murray-Tuite, Pamela Marie (committee member).
Subjects/Keywords: Traffic Data; Transport Geographic; Wide-area Motion Imagery; Vehicle Trajectory; Car-Following Model Calibration
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APA (6th Edition):
Islam, M. R. (2019). A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99464
Chicago Manual of Style (16th Edition):
Islam, Md Rauful. “A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics.” 2019. Masters Thesis, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/99464.
MLA Handbook (7th Edition):
Islam, Md Rauful. “A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics.” 2019. Web. 08 Mar 2021.
Vancouver:
Islam MR. A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/99464.
Council of Science Editors:
Islam MR. A Study on Use of Wide-Area Persistent Video Data for Modeling Traffic Characteristics. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/99464
17.
Anuar, Khairul Azfi.
Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data.
Degree: PhD, Civil/Environmental Engineering, 2016, Old Dominion University
URL: 9781369537260
;
https://digitalcommons.odu.edu/cee_etds/13
► Probe vehicle data are increasingly becoming the primary source of traffic data. As probe vehicle data become more widespread, it is imperative that methods…
(more)
▼ Probe vehicle data are increasingly becoming the primary source of traffic data. As probe vehicle data become more widespread, it is imperative that methods are developed so that traffic state estimators such as flow, density, and speed can be derived from such data. In this dissertation three different methodologies are proposed for predicting traffic flow or volume on a freeway. All of the proposed methodologies exploit several different traffic flow theories in conjunction with probe vehicle data to predict traffic flow. The first methodology takes advantage of the fundamental diagram or speed-flow relationship. The relationship states that flow can be estimated when speed is known. In this case, flow is traffic volume and speed comes from probe vehicles. Flow is predicted for four different models of fundamental diagrams and is analyzed at different time aggregation intervals. Results show that of the four fundamental diagrams, Van Aerde’s Model is the best performing model with the lowest average percent error. It is also observed that flow prediction is more accurate during low speed (congestion) compared to high speed (free-flow) conditions. The second methodology exploits the shockwave theory, which pertains to the propagation of a change (discontinuity) in traffic flow. From probe vehicle trajectories, shockwave is estimated as the boundary between free-flow and congested regimes of traffic flow. After clustering the traffic regimes into free-flow and congested periods, the traffic flow during congestion is estimated using the Northwestern congested-regime fundamental diagram. From this estimation, the flow during free-flow is then predicted. Analyses show that the percent error of the predicted flow during free-flow ranges from -9 to 1%. The third methodology is the
car-
following approach which relies on the spacing or distance between a leader and follower which can be directly measured from the trajectories. Based on a set of known probability distributions, the position of the follower vehicle with respect to the lead vehicle is estimated given that the spacing between the two random probe vehicles is known. A framework is developed to automatically process probe trajectories to extract relevant probe data under stop-and-go traffic conditions. The model is tested based on NGSIM datasets. The results show that when vehicle spacing is small the prediction of follower position is very accurate. As spacing increases the error in predicted follower position also increases. Though there exists some estimation error, all three approaches can reasonably predict flow for freeways using probe vehicle data.
Advisors/Committee Members: Mecit Cetin, Rajesh Paleti, Hong Yang.
Subjects/Keywords: Car following; Flow estimation; Fundamental diagram; Probe vehicle; Shockwave; Transportation; Transportation Engineering
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APA (6th Edition):
Anuar, K. A. (2016). Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781369537260 ; https://digitalcommons.odu.edu/cee_etds/13
Chicago Manual of Style (16th Edition):
Anuar, Khairul Azfi. “Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data.” 2016. Doctoral Dissertation, Old Dominion University. Accessed March 08, 2021.
9781369537260 ; https://digitalcommons.odu.edu/cee_etds/13.
MLA Handbook (7th Edition):
Anuar, Khairul Azfi. “Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data.” 2016. Web. 08 Mar 2021.
Vancouver:
Anuar KA. Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2016. [cited 2021 Mar 08].
Available from: 9781369537260 ; https://digitalcommons.odu.edu/cee_etds/13.
Council of Science Editors:
Anuar KA. Methodologies for Estimating Traffic Flow on Freeways Using Probe Vehicle Trajectory Data. [Doctoral Dissertation]. Old Dominion University; 2016. Available from: 9781369537260 ; https://digitalcommons.odu.edu/cee_etds/13
University of Kansas
18.
Chrysikopoulos, Georgios.
Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition.
Degree: MS, Civil, Environmental & Architectural Engineering, 2019, University of Kansas
URL: http://hdl.handle.net/1808/30486
► As a crucial component of traffic safety, operational quality, and network performance, driver behavior has been the subject of numerous studies. However, research has focused…
(more)
▼ As a crucial component of traffic safety, operational quality, and network performance, driver behavior has been the
subject of numerous studies. However, research has focused primarily on descriptive mathematical models of the primary driving tasks (
car-
following, lane changing), while rarely considering the underlying human factors affecting driver behavior. This quality of existing models means that they are not generally capable of adapting to systemic changes in driving behavior. At the same time, vehicle automation, one of the most revolutionary innovations in the history of transportation, advances at a very rapid pace. This development will result in deep systemic changes in the driver role and behavior, during the unavoidable transition period towards fully automated transportation networks, which the existing descriptive models are ill equipped to predict. To achieve that, additional information about driver behavior derived from the field of cognitive sciences, and psychological constructs like cognitive workload and situational awareness, need to be integrated into driving behavior models in order to describe the driver state under various levels of automation. This research aims to fill that gap by proposing a robust driver behavior framework that takes into account human factors and can be applied to both traditional manual driving, as well as driving of vehicles with varied automation capabilities. Based on a comprehensive literature review, the study proposed an experimental methodology, and a data collection and analysis plan that can validate the behavioral framework for use in future transportation applications.
Advisors/Committee Members: Kondyli, Alexandra (advisor), Schrock, Steven D (cmtemember), Mulinazzi, Thomas E (cmtemember).
Subjects/Keywords: Transportation; Behavioral psychology; Cognitive psychology; Automation; Behavior; Car-Following; Situational Awareness; Workload
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APA (6th Edition):
Chrysikopoulos, G. (2019). Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/30486
Chicago Manual of Style (16th Edition):
Chrysikopoulos, Georgios. “Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition.” 2019. Masters Thesis, University of Kansas. Accessed March 08, 2021.
http://hdl.handle.net/1808/30486.
MLA Handbook (7th Edition):
Chrysikopoulos, Georgios. “Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition.” 2019. Web. 08 Mar 2021.
Vancouver:
Chrysikopoulos G. Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition. [Internet] [Masters thesis]. University of Kansas; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1808/30486.
Council of Science Editors:
Chrysikopoulos G. Development of a Driver Behavior Framework for Manual and Automated Control Considering Driver Cognition. [Masters Thesis]. University of Kansas; 2019. Available from: http://hdl.handle.net/1808/30486
Queensland University of Technology
19.
Saifuzzaman, Mohammad.
Incorporating risk taking and driver errors in car-following models.
Degree: 2016, Queensland University of Technology
URL: https://eprints.qut.edu.au/100018/
► This thesis investigated the effect of human factors on car-following behavior and developed a novel methodology to incorporate those in car-following models. Application of the…
(more)
▼ This thesis investigated the effect of human factors on car-following behavior and developed a novel methodology to incorporate those in car-following models. Application of the new method enables the car-following models to realistically reproduce the human factor induced behavior which can help researchers to better understand complex traffic problems caused by human errors, for example, road crashes and traffic jams. The method contains an innovative task difficulty formula, which captures the motivation behind driving decisions. The task difficulty offers a better explanation of human behavior in complex traffic conditions than the conventional measures, such as speed and headway.
Subjects/Keywords: car-following; task difficulty; human factors; distraction; traffic oscillations; traffic hysteresis; driver error; risk taking; risk compensation; calibration and validation
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APA (6th Edition):
Saifuzzaman, M. (2016). Incorporating risk taking and driver errors in car-following models. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/100018/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Saifuzzaman, Mohammad. “Incorporating risk taking and driver errors in car-following models.” 2016. Thesis, Queensland University of Technology. Accessed March 08, 2021.
https://eprints.qut.edu.au/100018/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Saifuzzaman, Mohammad. “Incorporating risk taking and driver errors in car-following models.” 2016. Web. 08 Mar 2021.
Vancouver:
Saifuzzaman M. Incorporating risk taking and driver errors in car-following models. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2021 Mar 08].
Available from: https://eprints.qut.edu.au/100018/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Saifuzzaman M. Incorporating risk taking and driver errors in car-following models. [Thesis]. Queensland University of Technology; 2016. Available from: https://eprints.qut.edu.au/100018/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
20.
Song, Dan.
Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models.
Degree: PhD, 2019, McMaster University
URL: http://hdl.handle.net/11375/23924
► In this thesis, multiple on-road vehicle tracking problem is explored, with greater consideration of road constraints and interactions between vehicles. A comprehensive method for tracking…
(more)
▼ In this thesis, multiple on-road vehicle tracking problem is explored, with greater consideration of road constraints and interactions between vehicles. A comprehensive method for tracking multiple on-road vehicles is proposed by making use of domain knowledge of on-road vehicle motion.
Starting with raw measurements provided by sensors, bias correction methods for sensors commonly used in vehicle tracking are briefly introduced and a fast but effective bias correction method for airborne video sensor is proposed. In the proposed method, by assuming errors in sensor parameter measurements are close to zero, the bias is separately addressed in converted measurements of target position by a linear term of errors in sensor parameter measurements. Based on this model, the bias is efficiently estimated by addressing it while tracking or using measurements of targets that are observed by multiple airborne video sensors simultaneously. The proposed method is compared with other airborne video bias correction methods through simulations. The numerical results demonstrate the effectiveness of the proposed method for correcting bias as well as its high computational efficiency.
Then, a novel tracking algorithm that utilizes domain knowledge of on-road vehicle motion, i.e., road-map information and interactions among vehicles, by integrating a car-following model into a road coordinate system, is proposed for tracking multiple vehicles on single-lane roads. This algorithm is extended for tracking multiple vehicles on multi-lane roads: The road coordinate system is extended to two-dimension to express lanes on roads and a lane-changing model is integrated for modeling lane-changing behavior of vehicles. Since the longitudinal and lateral motions are mutually dependent, the longitudinal and lateral states of vehicles are estimated sequentially in a recursive manner. Two estimation strategies are proposed: a) The unscented Kalman filter combined with the multiple hypothesis tracking framework to estimate longitudinal and lateral states of vehicles, respectively. b) A unified particle filter framework with a specifically designed computationally-efficient joint sampling method to estimate longitudinal and lateral states of vehicles jointly. Both of two estimation methods can handle unknown parameters in motion models. A posterior Cramer-Rao lower bound is derived for quantifying achievable estimation accuracy in both single-lane and multi-lane cases, respectively. Numerical results show that the proposed algorithms achieve better track accuracy and consistency than conventional multi-vehicle tracking algorithms, which assumes that vehicles move independently of one another.
Thesis
Doctor of Philosophy (PhD)
Advisors/Committee Members: Kirubarajan, Thiagalingam, Electrical and Computer Engineering.
Subjects/Keywords: Multi-vehicle tracking; Microscopic traffic flow model; Car-following model; Lane-changing model; Airborne video registration; Intelligent transportation systems
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Song, D. (2019). Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23924
Chicago Manual of Style (16th Edition):
Song, Dan. “Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models.” 2019. Doctoral Dissertation, McMaster University. Accessed March 08, 2021.
http://hdl.handle.net/11375/23924.
MLA Handbook (7th Edition):
Song, Dan. “Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models.” 2019. Web. 08 Mar 2021.
Vancouver:
Song D. Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/11375/23924.
Council of Science Editors:
Song D. Multiple On-road Vehicle Tracking Using Microscopic Traffic Flow Models. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/23924
Universidade do Rio Grande do Sul
21.
Santos, Paula Manoela dos.
Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado.
Degree: 2013, Universidade do Rio Grande do Sul
URL: http://hdl.handle.net/10183/75917
► O modelo veículo seguidor – ou car-following – é o coração dos softwares de simulação microscópica de tráfego. Quando bem calibrados, esses softwares são capazes…
(more)
▼ O modelo veículo seguidor – ou car-following – é o coração dos softwares de simulação microscópica de tráfego. Quando bem calibrados, esses softwares são capazes de replicar a realidade em ambiente controlado. Ainda hoje há uma resistência quanto à calibração do modelo veículo seguidor e, mesmo que muitos trabalhos relatem formas de realizá-la, são escassas as referências na literatura sobre calibração utilizando dados de sistemas ônibus. Este trabalho consiste na elaboração de um método de calibração do modelo veículo seguidor de Gipps, combinado ao modelo de aceleração linear, para a replicação da operação de ônibus em corredores exclusivos. A elaboração do método iniciou com uma revisão dos principais modelos veículo seguidor e uma posterior avaliação dos modelos GHR e de Gipps para manobras típicas de sistemas ônibus. A seguir elaborou-se o procedimento de calibração utilizando coleta de dados por meio de filmagens da operação dos ônibus em corredores e da extração dos dados utilizando uma ferramenta de reconhecimento de imagem. O método das coordenadas retangulares foi utilizado para corrigir a paralaxe. Concomitante às filmagens analisou-se visualmente a ocupação dos ônibus para que as taxas de aceleração e desaceleração dos ônibus pudessem ser diferenciadas conforme o nível de ocupação. A calibração foi realizada através da comparação da distância percorrida pelos veículos ao longo do tempo e as correspondentes modeladas. Os resultados para taxas de aceleração e desaceleração obtidas a partir de dados coletados em Curitiba evidenciam a validade do procedimento. A simplicidade do método desenvolvido é uma característica importante, pois permite a replicação em outros ambientes sem a necessidade de equipamentos sofisticados.
The car-following model is the heart of the traffic simulation software and it is able to replicate real traffic conditions in a controlled environment when properly calibrated. Still today there is resistance on the car-following model calibration and, even though many papers report calibration forms of this model, there are scarce references in the literature about calibration using bus systems data. This work is the development of a method for calibrating the Gipps car-following model, combined with the free linear acceleration model, for replication of buses operation in exclusive lanes. We initiated the method planning with a review of the main car-following model and evaluation of GHR and Gipps for typical bus systems maneuvers. In the next step we developed the calibration procedure using data collection through filming bus operation and drawing out data using a tool for image recognition. We used the rectangular coordinates method to parallax correction. We also visually analyzed the buses occupation simultaneously to filming, so bus acceleration and deceleration rates could be differentiated according to the occupancy level. Calibration was achieved by comparing the vehicle distance traveled over time and corresponding modeled. The results for acceleration and deceleration rates…
Advisors/Committee Members: Lindau, Luis Antonio.
Subjects/Keywords: Car-following model; Transporte coletivo urbano; Ônibus; Gipps; Tráfego urbano; BRT; Tráfego : Simulação; Bus systems simulation
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APA (6th Edition):
Santos, P. M. d. (2013). Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/75917
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Santos, Paula Manoela dos. “Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado.” 2013. Thesis, Universidade do Rio Grande do Sul. Accessed March 08, 2021.
http://hdl.handle.net/10183/75917.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Santos, Paula Manoela dos. “Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado.” 2013. Web. 08 Mar 2021.
Vancouver:
Santos PMd. Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2013. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10183/75917.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Santos PMd. Método de calibração de um modelo veículo seguidor para BRT e ônibus em corredor segregado. [Thesis]. Universidade do Rio Grande do Sul; 2013. Available from: http://hdl.handle.net/10183/75917
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Queensland University of Technology
22.
Qian, Gongbin.
Effectiveness of eco-driving during queue discharge at urban signalised intersections.
Degree: 2013, Queensland University of Technology
URL: https://eprints.qut.edu.au/65352/
► This research investigated the effectiveness of using an eco-driving strategy at urban signalised intersections from both the individual driver and the traffic flow perspective. The…
(more)
▼ This research investigated the effectiveness of using an eco-driving strategy at urban signalised intersections from both the individual driver and the traffic flow perspective. The project included a field driving experiment and a series of traffic simulation investigations. The study found that the prevailing eco-driving strategy has negative impacts on traffic mobility and environmental performance when the traffic is highly congested. An improved eco-driving strategy has been developed to mitigate these negative impacts.
Subjects/Keywords: Eco-driving; Queue discharge model; Fuel consumption; Car following; Traffic simulation; Traffic management; Traffic flow analysis; Fuzzy logic; Signalised intersection
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APA ·
Chicago ·
MLA ·
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APA (6th Edition):
Qian, G. (2013). Effectiveness of eco-driving during queue discharge at urban signalised intersections. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/65352/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Qian, Gongbin. “Effectiveness of eco-driving during queue discharge at urban signalised intersections.” 2013. Thesis, Queensland University of Technology. Accessed March 08, 2021.
https://eprints.qut.edu.au/65352/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Qian, Gongbin. “Effectiveness of eco-driving during queue discharge at urban signalised intersections.” 2013. Web. 08 Mar 2021.
Vancouver:
Qian G. Effectiveness of eco-driving during queue discharge at urban signalised intersections. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2021 Mar 08].
Available from: https://eprints.qut.edu.au/65352/.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Qian G. Effectiveness of eco-driving during queue discharge at urban signalised intersections. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/65352/
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
23.
Yang, Jun.
Highway Traffic Modeling.
Degree: PhD, Civil Engineering, 2010, The Catholic University of America
URL: http://hdl.handle.net/1961/9238
► Degree awarded: Ph.D. Civil Engineering. The Catholic University of America
With the growth of the number of vehicles around the world, the amount of congestion,…
(more)
▼ Degree awarded: Ph.D. Civil Engineering. The Catholic University of America
With the growth of the number of vehicles around the world, the amount of congestion, pollution, and accidents is increasing. To solve this problem, highway traffic modeling, as one of the key components in traffic management, is becoming more important.In this dissertation, a methodological framework is first developed to deal with traffic-stream modeling based on data mining, steepest-ascend algorithm, and genetic algorithm. The new method is adaptive in nature and has greater flexibility and generality compared with existing methods.Secondly, a new method is developed to estimate and predict macroscopic traffic conditions in the area where no existing traffic information is available. The new method is based on shock wave theory. Unlike widely used data-driven methods, the proposed method has a clear traffic explanation and gives an accurate estimate and prediction of traffic flow.Based on the estimation and prediction of traffic conditions, travel time is the next information that needs to be estimated and predicted in traffic management. A piecewise truncated quadratic trajectory is proposed here to mimic the unknown speed trajectory between point detectors. The basis functions of the new method consist of quadratic and constant functions of time. Using the actual travel time obtained from field experiments, the new method yields a more accurate travel time estimate than other trajectory-based methods.Finally, for the microscopic level of traffic modeling, a new car-following model is proposed to solve problems in the application of existing Gipps car-following models. Gipps car-following models are based on the assumption that in car following behavior, drivers always attempt to get the maximum speed that is safe to prevent rear-end collisions in the event of an emergency stop. Since this assumption may not always be true during driving, it causes imaginary numbers due to the square root function in the model. This study introduces a new model without square root by using a nonlinear braking rate that was not adopted in the existing car-following models.
Made available in DSpace on 2011-02-24T20:49:59Z (GMT). No. of bitstreams: 1
Yang_cua_0043A_10127display.pdf: 1992866 bytes, checksum: a3977e78dea48a9d976d8943c5f3cb7f (MD5)
Advisors/Committee Members: Sun, Lu (Advisor), Pao, Hsien Ping (Other), Lucko, Gunnar (Other), Judge, John (Other).
Subjects/Keywords: Engineering, Civil; Transportation; Urban and Regional Planning; Car Following; Estimation and Prediction; Highway; Modeling; Simulation; Traffic
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APA (6th Edition):
Yang, J. (2010). Highway Traffic Modeling. (Doctoral Dissertation). The Catholic University of America. Retrieved from http://hdl.handle.net/1961/9238
Chicago Manual of Style (16th Edition):
Yang, Jun. “Highway Traffic Modeling.” 2010. Doctoral Dissertation, The Catholic University of America. Accessed March 08, 2021.
http://hdl.handle.net/1961/9238.
MLA Handbook (7th Edition):
Yang, Jun. “Highway Traffic Modeling.” 2010. Web. 08 Mar 2021.
Vancouver:
Yang J. Highway Traffic Modeling. [Internet] [Doctoral dissertation]. The Catholic University of America; 2010. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/1961/9238.
Council of Science Editors:
Yang J. Highway Traffic Modeling. [Doctoral Dissertation]. The Catholic University of America; 2010. Available from: http://hdl.handle.net/1961/9238
Luleå University of Technology
24.
Strohmeier, Michael.
Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human.
Degree: 2014, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59381
► Full solutions for automatic transportation vehicles in unstructured environmentsare restricted to military applications, although possible mission scenarios exist forcivil and space applications. In this…
(more)
▼ Full solutions for automatic transportation vehicles in unstructured environmentsare restricted to military applications, although possible mission scenarios exist forcivil and space applications. In this thesis, a user-friendly, human-robot interfaceis implemented for an all-terrain electric vehicle. The interface allows the vehicleto follow a moving user autonomously by combining 3D LIDAR measurements withintensity images. The method detects clusters within the LIDAR scan that matchthe human appearance and resolves potential ambiguities based on image trackingresults. The interface can be controlled using different input devices. A detailedevaluation compares the input devices, analyzes the implemented algorithms, andvalidates the overall system behavior outdoor under real-world conditions. Thedeveloped system is able to follow its user as long as he is completely visible.
Validerat; 20140822 (global_studentproject_submitter)
Subjects/Keywords: Technology; Automatic Transportation; Human Detection and Tracking; Human Following; Car-like Steering; 3D Perception; Image Perception; Teknik
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APA (6th Edition):
Strohmeier, M. (2014). Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59381
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Strohmeier, Michael. “Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human.” 2014. Thesis, Luleå University of Technology. Accessed March 08, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59381.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Strohmeier, Michael. “Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human.” 2014. Web. 08 Mar 2021.
Vancouver:
Strohmeier M. Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human. [Internet] [Thesis]. Luleå University of Technology; 2014. [cited 2021 Mar 08].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59381.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Strohmeier M. Development and Evaluation of a Human-Robot Interface for an Autonomous All-Terrain Transportation Vehicle in order to Localize, Track and Follow a Human. [Thesis]. Luleå University of Technology; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59381
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
25.
Blauw, Mathieu (author).
Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8
► The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of…
(more)
▼ The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of money each day. Roads are designed for the current traffic composition. Due to the promotion of Adaptive Cruise Control (ACC) systems, utilisation of these systems is expected to increase. Society benefits from insights into the effects these systems have on traffic flow, as they can help to reduce traffic jams and accidents. ACC systems are designed to increase driving comfort by taking over throttling and braking from the human driver. For optimal driver acceptance, these systems show similar driving behaviour to that of human drivers. However, this is not entirely possible due to limited anticipation. To predict how differences in driving behaviour affect traffic flows, researchers usually perform simulations using parametric
car-
following models. However, research shows contradictory findings. The goal of this research was to gain insights into the performance of commonly applied parametric
car-
following models on representing the driving behaviour of ACC systems. Optimal model calibration was obtained by investigating the sensitivity of the model calibration to synthetic data. Investigated were the calibration methodology and the quality and quantity of calibration data. Models are calibrated to real-world driving data from an Audi A4 from 2017. These models were used to assess the capability of representing typical highway scenarios: steady-state
car-
following, cut-in, cut-out, hard-braking and stop-and-go scenarios. The considered models were the Intelligent Driver Model (IDM) model, which has previously been applied to model the driving behaviour of human drivers, the newly developed simplified ACC (sACC) model and a variant on this model. Insights in the sensitivity of the model calibration were obtained by performing a sensitivity analysis on synthetic data. Essential factors in achieving an optimal model calibration are: 1) the model closely matches the driving behaviour in the data, 2) noise levels are as low as possible and 3) the data should contain as many situations as possible that are also included in the model. The dataset must be sufficiently long to include all these situations and to allow the model to develop its dynamics entirely. Using these insights, a calibration was performed on real-world ACC driving data from an Audi A4 (2017). For the ACC system, it was found: 1) the ACC system exhibits non-linear driving behaviour, 2) the acceleration depends on the current velocity and distance to the desired velocity, 3) the system does not consider an intelligent braking strategy and is thus not able of handling safety-critical driving situations and 4) the model includes a sub-controller which ensures comfortable driving behaviour. Except for the comfortable sub-controller, the non-linear IDM model considers all of these factors and thus best represents the driving behaviour. The linear sACC model cannot represent standing…
Advisors/Committee Members: Happee, Riender (mentor), Knoop, Victor (mentor), Wang, Meng (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: ACC; Adaptive Cruise Control; Car-Following Models; Model Calibration; Calibration; Parametric; Rijkswaterstaat; IDM; Intelligent Driver Model
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APA (6th Edition):
Blauw, M. (. (2019). Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8
Chicago Manual of Style (16th Edition):
Blauw, Mathieu (author). “Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.” 2019. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8.
MLA Handbook (7th Edition):
Blauw, Mathieu (author). “Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.” 2019. Web. 08 Mar 2021.
Vancouver:
Blauw M(. Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8.
Council of Science Editors:
Blauw M(. Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8
Delft University of Technology
26.
Echaniz Soldevila, Ignasi (author).
Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0
► This master thesis aims to gain new empirical insights into longitudinal driving behavior by means of the enumeration of a new hybrid car-following (CF) model…
(more)
▼ This master thesis aims to gain new empirical insights into longitudinal driving behavior by means of the enumeration of a new hybrid
car-
following (CF) model which combines parametric and non parametric formulation. On one hand, the model, which predicts the drivers acceleration given a set of variables, benefits from innovative machine learning techniques such as Gaussian process regression (GPR) to make predictions when there exist correlation between new input and the training dataset. On the other hand, it uses existent traditional parametric CF models to predict acceleration when no similar situations are found in the training dataset. This formulation guarantees a complete and continues model and deals with the challenges of new available types of dataset in the transport field: noisy and incomplete yet with large amount of data. Multiple models have been trained using the Optimal Velocity Model (OVM) as a basis parametric model and a dataset collected in the PPA project in Amsterdam by traffic radar detection in stop and go traffic conditions. The other main innovation of this thesis is that variables rarely included in any CF model such as the status and the distance of drivers to the traffic light are also analyzed. Results show that the GPR model formulation is robust as the model performs better than OVM alone according to the main KPI, but still collisions occasionally occur. Moreover, results depict that traffic light status actively influences driver behavior. Overall, this thesis gives insights into new powerful mathematical techniques that can be applied to describe longitudinal driving behavior or any modeled process.
Advisors/Committee Members: Hoogendoorn, Serge (mentor), Knoop, Victor (graduation committee), Steenbakkers, Jeroen (graduation committee), Alonso Mora, Javier (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Car-Following models; Longitudinal driver behavior; Machine Learning; Gausssian Process Regression; Non-parametric models; Urban signalized intersections; Traffic light
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APA (6th Edition):
Echaniz Soldevila, I. (. (2017). Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0
Chicago Manual of Style (16th Edition):
Echaniz Soldevila, Ignasi (author). “Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.” 2017. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0.
MLA Handbook (7th Edition):
Echaniz Soldevila, Ignasi (author). “Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection.” 2017. Web. 08 Mar 2021.
Vancouver:
Echaniz Soldevila I(. Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0.
Council of Science Editors:
Echaniz Soldevila I(. Car-Following Model using Machine Learning Techniques: Approach at Urban Signalized Intersections with Traffic Radar Detection. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6f864003-8f63-4be3-8837-77656ed620d0
27.
Molenaar, R.B. (author).
A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input.
Degree: 2014, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:4cdeca5c-e83b-4bb1-b6ce-42fae7412cc2
► Traffic simulators are useful tools that can be used for entertainment, driver education, and research into human driving behavior and the effects of innovative traffic…
(more)
▼ Traffic simulators are useful tools that can be used for entertainment, driver education, and research into human driving behavior and the effects of innovative traffic solutions. A traffic simulator provides a high degree of control, as every traffic situation can be recreated with exactly the same conditions for all test subjects. The downside of working with a simulator is the limited validity. When simulating a new situation, observing valid driving behavior from the test subjects requires valid simulated background traffic. In order to generate valid background traffic, realistic driving models are needed for that specific situation. This creates a vicious circle, as the realistic observations that are not observed yet are required to generate realistic driving models. The purpose of this research is to generate realistic simulated traffic for new situations. Using the Bayesian inference method in an online feedback loop, observed driving behavior from test subjects is used to calibrate existing driving models. These models are fed back to the simulator, where they will be used to generate traffic with the information gathered from the subjects. The influence of implementing a Bayesian-inference based feedback loop on subjective validity of the simulated traffic is tested in various experiments. The results show that a direct comparison, where the updated traffic and non-updated traffic are observed in the same session, results in an increase in subjective validity. An indirect comparison does not lead to an increase in subjective validity. The conclusion from the results is that, although the feedback loop leads to an increase in subjective validity, the effect is not strong enough to be noticeable when comparing traffic from two separate sessions.
Delft Center for Systems and Control
Mechanical, Maritime and Materials Engineering
Subjects/Keywords: Bayesian inference; car-following; simulation validity
…3
6
2-1 Car-following state definition… …10
2-2 Example of psycho-physical car-following behavior… …intersections. In this part of the loop, car-following behavior can
be observed, as cars are moving in… …Bayesian algorithm determine the proper application of a model?
All car-following models used in… …following behavior in
human drivers has to start by understanding the car-following models…
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APA ·
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Manager
APA (6th Edition):
Molenaar, R. B. (. (2014). A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4cdeca5c-e83b-4bb1-b6ce-42fae7412cc2
Chicago Manual of Style (16th Edition):
Molenaar, R B (author). “A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input.” 2014. Masters Thesis, Delft University of Technology. Accessed March 08, 2021.
http://resolver.tudelft.nl/uuid:4cdeca5c-e83b-4bb1-b6ce-42fae7412cc2.
MLA Handbook (7th Edition):
Molenaar, R B (author). “A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input.” 2014. Web. 08 Mar 2021.
Vancouver:
Molenaar RB(. A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2021 Mar 08].
Available from: http://resolver.tudelft.nl/uuid:4cdeca5c-e83b-4bb1-b6ce-42fae7412cc2.
Council of Science Editors:
Molenaar RB(. A Bayesian inference-based feedback on car-following behavior: Improving the validity of traffic simulations with human driving input. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:4cdeca5c-e83b-4bb1-b6ce-42fae7412cc2
28.
Pettersson, Nicklas.
Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
.
Degree: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper, 2020, Chalmers University of Technology
URL: http://hdl.handle.net/20.500.12380/302062
► The development of Autonomous vehicles has intensified during recent years, and autonomous vehicles is believed to be a common sight on public roads in the…
(more)
▼ The development of Autonomous vehicles has intensified during recent years, and
autonomous vehicles is believed to be a common sight on public roads in the near
future. It is safe to say that autonomous vehicles will revolutionize the transportation
field in multiple ways, such as improved transportation comfort and improved
traffic safety. The aim of this study is to investigate how autonomous vehicles will
impact heterogeneous traffic in terms of traffic flow and safety. In the context of
this study, heterogeneous traffic is defined as traffic situations with different vehicle
types, both manually driven and autonomous.
To investigate how autonomous vehicles impacts the flow and safety of heterogeneous
traffic, simulation models of manually driven vehicles and autonomous vehicles was
calibrated. The simulation models, which were calibrated based on a naturalistic
data-set, represent cars and trucks which takes the preceding vehicle type under
consideration. Simulations were executed in SUMO with various penetration rates
of autonomous vehicles with the intention to analyze how the different penetration
rates impact the heterogeneous traffic.
The simulation results showed that the number of traffic conflicts tends to decrease
as the penetration rate of autonomous vehicles increase for the same mean road
speed. Also, the results showed that the mean road speed increase as the penetration
rate of autonomous vehicles increase for the same vehicle flow rate. The
difference in mean road speed for the different penetration rates increases as the
vehicle flow rate gets bigger. This leads to the number of conflicts increase as the
penetration rate increase when the vehicle flow rates are high.
These results suggest the autonomous vehicles have the potential to improve the
traffic safety by decreasing the number of conflicts and to improve the traffic flow
by increasing the mean road speed and therefore lessen the travel time. However,
the mean speed needs to be limited, or else the number of conflicts will significantly
increase.
Subjects/Keywords: SUMO;
Autonomous vehicle;
Heterogenous traffic;
Traffic flow;
Traffic safety;
car-following;
lane-changes;
Traffic simulation;
HighD dataset;
Model calibration
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APA ·
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MLA ·
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Export
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Manager
APA (6th Edition):
Pettersson, N. (2020). Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
. (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/302062
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Pettersson, Nicklas. “Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
.” 2020. Thesis, Chalmers University of Technology. Accessed March 08, 2021.
http://hdl.handle.net/20.500.12380/302062.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Pettersson, Nicklas. “Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
.” 2020. Web. 08 Mar 2021.
Vancouver:
Pettersson N. Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
. [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/20.500.12380/302062.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Pettersson N. Modelling and Simulation of Heterogeneous Traffic: An investigation of autonomous vehicles impact on heterogeneous traffic in terms of traffic flow and safety
. [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/302062
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Tech
29.
Crowther, Brent C.
A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks.
Degree: MS, Civil Engineering, 2001, Virginia Tech
URL: http://hdl.handle.net/10919/32479
► Though comparisons of simulation models have been conducted, few investigations have examined in detail the logical differences between models. If the output measures of effectiveness…
(more)
▼ Though comparisons of simulation models have been conducted, few investigations have examined in detail the logical differences between models. If the output measures of effectiveness are to be interpreted correctly, it is important that the analyst understand some of the underlying logic and assumptions upon which the results are based. An understanding of model logic and its inherent effect on the results will aid the transportation analyst in the application and calibration of a simulation model. In this thesis, the
car-
following behavior of the CORSIM and INTEGRATION simulation models are examined in significant detail, and its impact on output results explained. In addition, the thesis presents a calibration procedure for the CORSIM sub-model, FRESIM. Currently, FRESIM is calibrated by ad hoc trial-and-error, or by utilizing empirically developed cross-referencing tables. The literature reveals that the relationship between the microscopic input parameters of the CORSIM model, and the macroscopic parameters of capacity is not understood. The thesis addresses this concern. Finally, the thesis compares the INTEGRATION and CORSIM models in freeway and urban environments. The comparison is unique in that the simulated networks were configured such that differences in results could be identified, isolated, and explained. Additionally, the simplified nature of the test networks allowed for the formulation of analytical solutions. The thesis begins by relating steady-state
car-
following behavior to macroscopic traffic stream models. This is done so that a calibration procedure for the FRESIM (Pipes)
car-
following model could be developed. The proposed calibration procedure offers an avenue to calibrate microscopic
car-
following behavior using macroscopic field measurements that can be easily obtained from loop detectors. The calibration procedure, while it does not overcome the inherent shortcomings of the Pipes model, does provide an opportunity to better calibrate the network FRESIM
car-
following sensitivity factor to existing roadway conditions. The thesis then reports an observed inconsistency in the link-specific
car-
following sensitivity factor of the FRESIM model. Because calibration of a network on a link-specific basis is key to an accurate network representation, a correction factor was developed that should be applied to the analytically calculated link-specific
car-
following sensitivity factor. The application of the correction factor resulted in observed saturation flow rates that were within 5% of the desired saturation flow rates. The thesis concludes with a comparison of the CORSIM and INTEGRATION models for transient conditions. As a result of the various intricacies and subtleties that are involved in transient behavior, the comparisons were conducted by running the models on simple networks where analytical solutions to the problem could be formulated. In urban environments, it was observed that the models are consistent in estimates of delay and travel time, and inconsistent in estimates of vehicle…
Advisors/Committee Members: Rakha, Hesham A. (committeechair), Dion, Francois (committee member), Hobeika, Antoine G. (committee member).
Subjects/Keywords: Car following; INTEGRATION; Traffic Simulation Modeling; CORSIM; Microscopic Simulation
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APA (6th Edition):
Crowther, B. C. (2001). A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32479
Chicago Manual of Style (16th Edition):
Crowther, Brent C. “A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks.” 2001. Masters Thesis, Virginia Tech. Accessed March 08, 2021.
http://hdl.handle.net/10919/32479.
MLA Handbook (7th Edition):
Crowther, Brent C. “A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks.” 2001. Web. 08 Mar 2021.
Vancouver:
Crowther BC. A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks. [Internet] [Masters thesis]. Virginia Tech; 2001. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10919/32479.
Council of Science Editors:
Crowther BC. A Comparison of CORSIM and INTEGRATION for the Modeling of Stationary Bottlenecks. [Masters Thesis]. Virginia Tech; 2001. Available from: http://hdl.handle.net/10919/32479
30.
Zitzow-Childs, Stephen.
A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities.
Degree: MS, Civil Engineering, 2017, University of Minnesota
URL: http://hdl.handle.net/11299/185546
► Open access High Occupancy Toll (HOT) lane facilities allow vehicles to move freely into and out of the managed lane at any point along a…
(more)
▼ Open access High Occupancy Toll (HOT) lane facilities allow vehicles to move freely into and out of the managed lane at any point along a corridor, permitting significant mobility from entrance and exit ramps. However, a potential safety concern exists when the mainline and HOT lanes are behaving differently. In certain circumstances, the general purpose lane adjacent to the HOT may be broken down while the HOT itself continues to operate at high speed (due to its managed nature). Vehicles seeking to enter the HOT must negotiate a potentially large (35 mile per hour or more) speed differential. As those vehicles enter the HOT, they must select a sufficiently large gap and accelerate to speed. Subsequent vehicles in the HOT may have to decelerate in order to avoid a collision, forming a shockwave in the HOT lane. This methodology models the formation of those shockwaves for varying conditions on the HOT and adjacent general purpose lane. Realistic traffic streams are reproduced for the HOT using measured parameters for headway and platoon formation and vehicles from the general purpose lane are introduced at varying low speeds. By iterating through this procedure many times, the distribution of shockwave lengths for any given conditions can be produced. The target conditions for modeling include 15 to 42 vehicles per mile on the HOT lane with vehicles being introduced with speeds between 10 and 45 miles per hour. These ranges were selected to cover conditions where the HOT has not broken down to a congested state while the general purpose lanes have. Analyzing historical data for a corridor allows the shockwave length distributions to be combined into comprehensive considerations of shockwave distributions for any given location within a corridor. Each of these comprehensive shockwave distributions represents the overall behavior of the location over time. These can then be used to assess the safety of the corridor and provide guidance on regions within an HOT corridor which may require lane-changing prohibitions to improve safety.
Subjects/Keywords: Car Following; HOT Lanes; Managed Lanes; Shockwave
…36
Figure 9. Speed-density results from testing car following model parameters - example of… …38
Figure 10. Speed-density results from testing car following model parameters - example… …45
Figure 13. Characteristic distributions based on the calibrated car following parameters… …presented previously, in particular the General Motors (GM) car following model used for… …methodology developed by this paper, a car following model is
introduced. The car following model…
Record Details
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Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zitzow-Childs, S. (2017). A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/185546
Chicago Manual of Style (16th Edition):
Zitzow-Childs, Stephen. “A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities.” 2017. Masters Thesis, University of Minnesota. Accessed March 08, 2021.
http://hdl.handle.net/11299/185546.
MLA Handbook (7th Edition):
Zitzow-Childs, Stephen. “A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities.” 2017. Web. 08 Mar 2021.
Vancouver:
Zitzow-Childs S. A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/11299/185546.
Council of Science Editors:
Zitzow-Childs S. A Corridor-Based Methodology for the Design of Open Access High Occupancy Toll Lane Facilities. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/185546
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Open Access Theses and Dissertations
