subject:(Traffic estimation)

University of Ottawa

1. Liu, Riqiang. Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) .

Degree: 2020, University of Ottawa

URL: http://hdl.handle.net/10393/40265

► The traffic generated by video streaming applications constitutes a large portion of the Internet traffic over today's networks. Video streaming demands for low latency and… (more)

Subjects/Keywords: SDN; Traffic Estimation

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APA (6^th Edition):

Liu, R. (2020). Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/40265

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Riqiang. “Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) .” 2020. Thesis, University of Ottawa. Accessed February 27, 2021. http://hdl.handle.net/10393/40265.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Riqiang. “Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) .” 2020. Web. 27 Feb 2021.

Vancouver:

Liu R. Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) . [Internet] [Thesis]. University of Ottawa; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10393/40265.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu R. Dynamic Routing with Online Traffic Estimation for Video Streaming Over Software Defined Networks (SDN) . [Thesis]. University of Ottawa; 2020. Available from: http://hdl.handle.net/10393/40265

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Florida Atlantic University

2. Chowdhury, Sharmin-E-Shams. Estimating Pedestrian Impact on Coordination of Urban Corridors.

Degree: MS, 2018, Florida Atlantic University

URL: http://fau.digital.flvc.org/islandora/object/fau:40913

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At most of the US signal, pedestrian walk timings run in concurrence with relevant vehicular traffic signal phases which means that major-street coordinated operations can… (more)

Subjects/Keywords: Transportation corridors; Pedestrians; Urban traffic; Traffic estimation

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APA (6^th Edition):

Chowdhury, S. (2018). Estimating Pedestrian Impact on Coordination of Urban Corridors. (Masters Thesis). Florida Atlantic University. Retrieved from http://fau.digital.flvc.org/islandora/object/fau:40913

Chicago Manual of Style (16^th Edition):

Chowdhury, Sharmin-E-Shams. “Estimating Pedestrian Impact on Coordination of Urban Corridors.” 2018. Masters Thesis, Florida Atlantic University. Accessed February 27, 2021. http://fau.digital.flvc.org/islandora/object/fau:40913.

MLA Handbook (7^th Edition):

Chowdhury, Sharmin-E-Shams. “Estimating Pedestrian Impact on Coordination of Urban Corridors.” 2018. Web. 27 Feb 2021.

Vancouver:

Chowdhury S. Estimating Pedestrian Impact on Coordination of Urban Corridors. [Internet] [Masters thesis]. Florida Atlantic University; 2018. [cited 2021 Feb 27]. Available from: http://fau.digital.flvc.org/islandora/object/fau:40913.

Council of Science Editors:

Chowdhury S. Estimating Pedestrian Impact on Coordination of Urban Corridors. [Masters Thesis]. Florida Atlantic University; 2018. Available from: http://fau.digital.flvc.org/islandora/object/fau:40913

Temple University

3. Coric, Vladimir. Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting.

Degree: PhD, 2014, Temple University

URL: http://digital.library.temple.edu/u?/p245801coll10,299531

►

Computer and Information Science

Despite the significant investments over the last few decades to enhance and improve road infrastructure worldwide, the capacity of road networks… (more)

▼

Computer and Information Science

Despite the significant investments over the last few decades to enhance and improve road infrastructure worldwide, the capacity of road networks has not kept pace with the ever increasing growth in demand. As a result, congestion has become endemic to many highways and city streets. As an alternative to costly and sometimes infeasible construction of new roads, transportation departments are increasingly looking at ways to improve traffic flow over the existing infrastructure. The biggest challenge in accomplishing this goal is the ability to sample traffic data, estimate traffic current state, and forecast its future behavior. In this thesis, we first address the problem of traffic sampling where we propose strategies for frugal sensing where we collect a fraction of the observed traffic information to reduce costs while achieving high accuracy. Next we demonstrate how traffic estimation using deterministic traffic models can be improved using proposed data reconstruction techniques. Finally, we propose how mixture of experts algorithm which consists of two regime-specific linear predictors and a decision tree gating function can improve short-term and long-term traffic forecasting. As mobile devices become more pervasive, participatory sensing is becoming an attractive way of collecting large quantities of valuable location-based data. An important participatory sensing application is traffic monitoring, where GPS-enabled smartphones can provide invaluable information about traffic conditions. We propose a strategy for frugal sensing in which the participants send only a fraction of the observed traffic information to reduce costs while achieving high accuracy. The strategy is based on autonomous sensing, in which participants make decisions to send traffic information without guidance from the central server, thus reducing the communication overhead and improving privacy. To provide accurate and computationally efficient estimation of the current traffic, we propose to use a budgeted version of the Gaussian Process model on the server side. The experiments on real-life traffic data sets indicate that the proposed approach can use up to two orders of magnitude less samples than a baseline approach with only a negligible loss in accuracy. The estimation of the state of traffic provides a detailed picture of the conditions of a traffic network based on limited traffic measurements and, as such, plays a key role in intelligent transportation systems. Most often, traffic measurements are aggregated over multiple time steps, and this procedure raises the question of how to best use this information for state estimation. Reconstructing the high-resolution measurements from the aggregated ones and using them to correct the state estimates at every time step are proposed. Several reconstruction techniques from signal processing, including kernel regression and a reconstruction approach based on convex optimization, were considered. Experimental results show that signal reconstruction…

Advisors/Committee Members: Vucetic, Slobodan;, Obradovic, Zoran, Latecki, Longin, Zhu, Ying;.

Subjects/Keywords: Computer science;

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APA (6^th Edition):

Coric, V. (2014). Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,299531

Chicago Manual of Style (16^th Edition):

Coric, Vladimir. “Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting.” 2014. Doctoral Dissertation, Temple University. Accessed February 27, 2021. http://digital.library.temple.edu/u?/p245801coll10,299531.

MLA Handbook (7^th Edition):

Coric, Vladimir. “Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting.” 2014. Web. 27 Feb 2021.

Vancouver:

Coric V. Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting. [Internet] [Doctoral dissertation]. Temple University; 2014. [cited 2021 Feb 27]. Available from: http://digital.library.temple.edu/u?/p245801coll10,299531.

Council of Science Editors:

Coric V. Data Mining Algorithms for Traffic Sampling, Estimation and Forecasting. [Doctoral Dissertation]. Temple University; 2014. Available from: http://digital.library.temple.edu/u?/p245801coll10,299531

University of Florida

4. Zhou, Yian. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

URL: https://ufdc.ufl.edu/UFE0049549

► Traffic volume measurement is critical in transportation engineering and vehicular networks. Existing research on traffic volume measurement mainly focuses on single-point traffic statistics. In this… (more)

Subjects/Keywords: Bitmapped images; Estimators; Motor vehicle traffic; Simulations; Traffic estimation; Traffic flow; Traffic measurement; Traffic volume; Transportation; Vehicles; measurement – privacy – traffic – vehicle

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhou, Y. (2015). Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049549

Chicago Manual of Style (16^th Edition):

Zhou, Yian. “Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.” 2015. Doctoral Dissertation, University of Florida. Accessed February 27, 2021. https://ufdc.ufl.edu/UFE0049549.

MLA Handbook (7^th Edition):

Zhou, Yian. “Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems.” 2015. Web. 27 Feb 2021.

Vancouver:

Zhou Y. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 Feb 27]. Available from: https://ufdc.ufl.edu/UFE0049549.

Council of Science Editors:

Zhou Y. Privacy-Preserving Transportation Traffic Measurement in Intelligent Cyber-Physical Road Systems. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049549

University of Toronto

5. Bachmann, Christian. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.

Degree: 2011, University of Toronto

URL: http://hdl.handle.net/1807/30172

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In this thesis, seven multi-sensor data fusion based estimation techniques are investigated. All methods are compared in terms of their ability to fuse data from… (more)

Subjects/Keywords: Data Fusion; Traffic Speed; Estimation; ITS; 0543

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APA (6^th Edition):

Bachmann, C. (2011). Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/30172

Chicago Manual of Style (16^th Edition):

Bachmann, Christian. “Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.” 2011. Masters Thesis, University of Toronto. Accessed February 27, 2021. http://hdl.handle.net/1807/30172.

MLA Handbook (7^th Edition):

Bachmann, Christian. “Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation.” 2011. Web. 27 Feb 2021.

Vancouver:

Bachmann C. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1807/30172.

Council of Science Editors:

Bachmann C. Multi-sensor Data Fusion for Traffic Speed and Travel Time Estimation. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/30172

University of Texas – Austin

6. Yahia, Cesar N. Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion.

Degree: MSin Engineering, Civil Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/69001

► Unmanned aerial vehicles (drones) can be used in traffic and road monitoring applications. We investigate the benefit of using drones for simultaneous traffic state estimation… (more)

Subjects/Keywords: Traffic; Estimation; Drone; A-optimal control; Navigation

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APA (6^th Edition):

Yahia, C. N. (2018). Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69001

Chicago Manual of Style (16^th Edition):

Yahia, Cesar N. “Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion.” 2018. Masters Thesis, University of Texas – Austin. Accessed February 27, 2021. http://hdl.handle.net/2152/69001.

MLA Handbook (7^th Edition):

Yahia, Cesar N. “Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion.” 2018. Web. 27 Feb 2021.

Vancouver:

Yahia CN. Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion. [Internet] [Masters thesis]. University of Texas – Austin; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2152/69001.

Council of Science Editors:

Yahia CN. Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion. [Masters Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69001

University of Illinois – Urbana-Champaign

7. Wang, Ren. Hybrid state estimation applications for joint traffic monitoring and incident detection.

Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/88984

► This dissertation is motivated by the practical problems of highway traffic estimation and incident detection using measurements from various sensor types. It proposes a framework… (more)

Subjects/Keywords: Traffic state estimation; Traffic incident detection; Particle filter; Kalman filter; Hybrid state estimation

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APA (6^th Edition):

Wang, R. (2015). Hybrid state estimation applications for joint traffic monitoring and incident detection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88984

Chicago Manual of Style (16^th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 27, 2021. http://hdl.handle.net/2142/88984.

MLA Handbook (7^th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Web. 27 Feb 2021.

Vancouver:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2142/88984.

Council of Science Editors:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88984

Delft University of Technology

8. Scholten, F.J.M. (author). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

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Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of… (more)

Subjects/Keywords: traffic state estimation; Ensemble Kalman Filter; dynamic traffic management; traffic state prediction

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APA (6^th Edition):

Scholten, F. J. M. (. (2015). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

Chicago Manual of Style (16^th Edition):

Scholten, F J M (author). “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.” 2015. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

MLA Handbook (7^th Edition):

Scholten, F J M (author). “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter.” 2015. Web. 27 Feb 2021.

Vancouver:

Scholten FJM(. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

Council of Science Editors:

Scholten FJM(. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

University of Alberta

9. Ge, Yongfeng. Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor.

Degree: MS, Department of Civil and Environmental Engineering, 2012, University of Alberta

URL: https://era.library.ualberta.ca/files/mp48sd815

► Active traffic control and management requires traffic state estimation with high accuracy. Although an inductive loop detector can achieve high accuracy in terms of volume,… (more)

Subjects/Keywords: traffic state estimation; Bluetooth adapter; passive infrared sensor; segment speed estimation

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APA (6^th Edition):

Ge, Y. (2012). Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/mp48sd815

Chicago Manual of Style (16^th Edition):

Ge, Yongfeng. “Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor.” 2012. Masters Thesis, University of Alberta. Accessed February 27, 2021. https://era.library.ualberta.ca/files/mp48sd815.

MLA Handbook (7^th Edition):

Ge, Yongfeng. “Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor.” 2012. Web. 27 Feb 2021.

Vancouver:

Ge Y. Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2021 Feb 27]. Available from: https://era.library.ualberta.ca/files/mp48sd815.

Council of Science Editors:

Ge Y. Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/mp48sd815

University of Washington

10. Yang, Hao (Frank). Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI).

Degree: 2020, University of Washington

URL: http://hdl.handle.net/1773/45465

► Traffic sensing devices are the eyes of the Intelligent Transportation Systems (ITS) nowadays. Among all the traffic sensors, the surveillance camera system is one of… (more)

▼ Traffic sensing devices are the eyes of the Intelligent Transportation Systems (ITS) nowadays. Among all the traffic sensors, the surveillance camera system is one of the most widely deployed system due to the easy installation, valuable data, and the intuitive information format. However, it’s a great pity that these cameras collect data isolated. One camera can only monitor a fixed of view and there is no bridge to share the monitoring information with each other. Tremendous labor work is necessary if the traffic managers try to find the same target in different cameras. Recently, the development of computer vision technology brings light to traffic information extraction based on the multi-camera scenario. Different from the previous single-camera based traffic information estimation, the multi-camera work is much more challenging. Since in the real-world scenarios, different camera views, orientations and lighting conditions make the video features in a huge difference. Moreover, the more rigorous thing is that only the top-one candidate can be used in the traffic information estimation procedure. Thus, how to link each single camera into a multi-camera system and estimate the traffic information from the whole surveillance system becomes the main problem in the research. To address the challenges, four kinds of information are designed to capture and integrate, including vision information, vehicle attributes information, road network graph information and spatial-temporal information. These four kinds of information are summarized and decomposed into four levels of features, including frame-level, clip-level, identity-level and network-level of features. A cutting-edge multi-camera car tracking and Re-ID framework based on temporal-attention model and deep neural networks is improved to capture the frame-level, clip-level and identity-level of features. A Spatial-temporal Camera Graph Inference Model (StCGIM) are designed to integrate the network level of features into the MCCTRI framework. After obtained the multi-camera tracking result, the tracking accuracy levels of different cameras are various from each other. An Adaptative Accuracy Model (AAM) is designed to eliminate and unify errors and prepare the input for the traffic information estimation algorithms. Furthermore, different levels of traffic-related information can be estimated properly. The author evaluated the framework based on five cameras video data on captured on the Interstate 5, including different views, orientations, lighting conditions and color settings in various challenging scenarios. Based on MCCTRI, not only including the traffic information value, such as link average speed, average travel time and volume, but also a more particular data format – the distribution of each parameter can be estimated precisely. All the value information estimation error is less than 8% through the dataset evaluation including five camera views. The KL distance of the estimated distribution and real distribution is less than 3.42. Based on the… Advisors/Committee Members: Wang, Yinhai (advisor).

Subjects/Keywords: Multi-camera tracking; Traffic flow estimation; Traffic information estimation; Traffic sensing; Vehicle re-identification; Transportation; Civil engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yang, H. (. (2020). Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI). (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/45465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Hao (Frank). “Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI).” 2020. Thesis, University of Washington. Accessed February 27, 2021. http://hdl.handle.net/1773/45465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Hao (Frank). “Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI).” 2020. Web. 27 Feb 2021.

Vancouver:

Yang H(. Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI). [Internet] [Thesis]. University of Washington; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1773/45465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang H(. Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI). [Thesis]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/45465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of California – Irvine

11. Sun, Zhe. Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data.

Degree: Civil Engineering, 2016, University of California – Irvine

URL: http://www.escholarship.org/uc/item/521733s2

► The purpose of this study is to develop a traffic estimation framework which combines different data sources to better reconstruct the traffic states on the… (more)

▼ The purpose of this study is to develop a traffic estimation framework which combines different data sources to better reconstruct the traffic states on the freeways. The framework combines both traffic parameter and state estimation in the same work flow, which resolves the inconsistency issue of most existing traffic state estimation methods. To examine the quality of the traffic sensor data, the study starts with proposing the network sensor health problem (NSHP). The optimal set of sensors is selected from all sensors such that the violation of flow conservation is minimized. The health index for individual detector is then calculated based on the solutions. We also developed a tailored greedy search algorithm to find the solutions effectively. The proposed method is tested using the loop detector data from PeMS on a stretch of the SR-91 freeway. We compared the results with PeMS health status and found considerable level of consistency. Two different traffic state estimation methods are proposed based on the data availability and traffic states. The LoopReid method is derived from the Newell's simplified kinematic wave model by assuming the whole road segment is fully congested. We formulate a least square optimization problem to find the initial states and traffic parameters based on the first-in-first-out principle and the congested part of the Newell's model. While developing the LoopCT method, we derived a counterpart of the Newell's kinematic wave model in the Lagrangian coordinates under Eulerian boundary conditions. This model also leads to a new method to estimate vehicle trajectories within a road segment. We formulate a least square optimization problem in initial states and traffic parameters which works for mixed traffic states. The two estimation methods turned out to be highly related and the LoopCT method degenerates to the LoopReid method when the traffic is fully congested. The two methods are validated using two datasets from the NGSIM project. Both methods achieved considerable level of accuracy at reconstructing the traffic states and parameters.

Subjects/Keywords: Transportation; Civil engineering; Data fusion; Flow conservation; Sensor health; Traffic parameter estimation; Traffic state estimation; Vehicle trajectory estimation

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APA (6^th Edition):

Sun, Z. (2016). Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/521733s2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sun, Zhe. “Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data.” 2016. Thesis, University of California – Irvine. Accessed February 27, 2021. http://www.escholarship.org/uc/item/521733s2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sun, Zhe. “Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data.” 2016. Web. 27 Feb 2021.

Vancouver:

Sun Z. Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2021 Feb 27]. Available from: http://www.escholarship.org/uc/item/521733s2.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun Z. Freeway Traffic Parameter and State Estimation with Eulerian and Lagrangian Data. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/521733s2

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Florida Atlantic University

12. Dakic, Igor. On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection.

Degree: MS, 2016, Florida Atlantic University

URL: http://purl.flvc.org/fau/fd/FA00004672 ; (URL) http://purl.flvc.org/fau/fd/FA00004672

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Summary: Macroscopic fundamental diagram is the concept of the highest importance in traffic flow theory used for development of network-wide control strategies. Previous studies showed… (more)

Subjects/Keywords: Adaptive control systems; Intelligent transportation systems; Traffic engineering; Traffic estimation – Computer simulation; Traffic estimation – Mathematical models; Traffic flow – Computer simulation; Traffic flow – Mathematical models

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APA (6^th Edition):

Dakic, I. (2016). On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004672 ; (URL) http://purl.flvc.org/fau/fd/FA00004672

Chicago Manual of Style (16^th Edition):

Dakic, Igor. “On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection.” 2016. Masters Thesis, Florida Atlantic University. Accessed February 27, 2021. http://purl.flvc.org/fau/fd/FA00004672 ; (URL) http://purl.flvc.org/fau/fd/FA00004672.

MLA Handbook (7^th Edition):

Dakic, Igor. “On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection.” 2016. Web. 27 Feb 2021.

Vancouver:

Dakic I. On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection. [Internet] [Masters thesis]. Florida Atlantic University; 2016. [cited 2021 Feb 27]. Available from: http://purl.flvc.org/fau/fd/FA00004672 ; (URL) http://purl.flvc.org/fau/fd/FA00004672.

Council of Science Editors:

Dakic I. On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection. [Masters Thesis]. Florida Atlantic University; 2016. Available from: http://purl.flvc.org/fau/fd/FA00004672 ; (URL) http://purl.flvc.org/fau/fd/FA00004672

University of Florida

13. Zheng, Yinan. Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions.

Degree: PhD, Civil Engineering - Civil and Coastal Engineering, 2016, University of Florida

URL: https://ufdc.ufl.edu/UFE0050216

► The pedestrian mode is an important component of urban networks, and greatly affects the pedestrian facilities performance, as well as the entire network traffic operations… (more)

Subjects/Keywords: Crosswalks; Jaywalking; Modeling; Motor vehicle traffic; Pedestrian traffic; Simulations; Speed; Traffic delay; Traffic estimation; Vehicles; pedestrians; City of Gainesville ( local )

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zheng, Y. (2016). Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050216

Chicago Manual of Style (16^th Edition):

Zheng, Yinan. “Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions.” 2016. Doctoral Dissertation, University of Florida. Accessed February 27, 2021. https://ufdc.ufl.edu/UFE0050216.

MLA Handbook (7^th Edition):

Zheng, Yinan. “Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions.” 2016. Web. 27 Feb 2021.

Vancouver:

Zheng Y. Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 Feb 27]. Available from: https://ufdc.ufl.edu/UFE0050216.

Council of Science Editors:

Zheng Y. Pedestrian Operations in Urban Networks with Considerations of Vehicle Interactions. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050216

14. Ekenstedt, Emelie. Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems .

Degree: Chalmers tekniska högskola / Institutionen för data och informationsteknik, 2019, Chalmers University of Technology

URL: http://hdl.handle.net/20.500.12380/300410

► This thesis presents an extension to a communication protocol proposed by Casimiro and Schiller [1] for manoeuvre negotiation amongst autonomous vehicles. Local traffic rules establish… (more)

▼ This thesis presents an extension to a communication protocol proposed by Casimiro and Schiller [1] for manoeuvre negotiation amongst autonomous vehicles. Local traffic rules establish a priority ordering amongst vehicles sharing a section of road. The manoeuvre negotiation protocol establishes procedures for how lowpriority vehicles can seek permission from high-priority vehicles to enter shared areas of road, in order to avoid collisions even in the presence of some common network failures. The extensions proposed in this thesis adapt the protocol to be used in intersections and increase safety in traffic situations where vehicles do not maintain an ideal speed. This protocol is run alongside a risk estimator that continuously estimates the likelihood of a collision between vehicles. When a high risk situation is detected, the risk estimator will trigger an emergency breaking event. The combined system was tested in simulations where two vehicles approached an intersection from opposite directions and the intended path of one vehicle turns left across the intended path of the other vehicle. Variables to model communication loss, noisy positional data and violations of traffic rules by one vehicle were incorporated into the simulations in order to evaluate the rigidity of the system. The combined system resulted in fewer collisions and near collisions than were observed when running the same simulations using either the manoeuvre negotiation protocol or risk estimator separately. Furthermore, the combined system was shown to adhere to the established local traffic rules. The results indicate that a combined risk estimator and manoeuvre negotiation protocol can create a more robust safety system than one that relies solely on either component. A correctness proof is also provided in this thesis to demonstrate analytically that the protocol increases safety by both reducing the risk collision between vehicles and preventing violations of the established local traffic rules.

Subjects/Keywords: Risk estimation; Autonomous vehicles; road safety; communication protocol; distributed system; traffic priority; intersection; traffic simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ekenstedt, E. (2019). Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ekenstedt, Emelie. “Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems .” 2019. Thesis, Chalmers University of Technology. Accessed February 27, 2021. http://hdl.handle.net/20.500.12380/300410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ekenstedt, Emelie. “Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems .” 2019. Web. 27 Feb 2021.

Vancouver:

Ekenstedt E. Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/20.500.12380/300410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ekenstedt E. Membership-based Manoeuvre Negotiation in Autonomous and Safety-critical Vehicular Systems . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Portland State University

15. Roll, Josh Frank. Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors.

Degree: Master of Urban Studies (M.U.S.) in Urban Studies, Urban Studies and Planning, 2013, Portland State University

URL: https://pdxscholar.library.pdx.edu/open_access_etds/998

► Since nearly the beginning of the wide spread adoption of the automobile, motorized traffic data collection has occurred so that decision makers have information… (more)

Subjects/Keywords: Cycling – Measurement; Bicycle traffic flow – Estimates; Traffic estimation; Sports Studies; Urban Studies and Planning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Roll, J. F. (2013). Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/998

Chicago Manual of Style (16^th Edition):

Roll, Josh Frank. “Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors.” 2013. Masters Thesis, Portland State University. Accessed February 27, 2021. https://pdxscholar.library.pdx.edu/open_access_etds/998.

MLA Handbook (7^th Edition):

Roll, Josh Frank. “Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors.” 2013. Web. 27 Feb 2021.

Vancouver:

Roll JF. Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors. [Internet] [Masters thesis]. Portland State University; 2013. [cited 2021 Feb 27]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/998.

Council of Science Editors:

Roll JF. Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors. [Masters Thesis]. Portland State University; 2013. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/998

16. Sun, Yuan. 3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data.

Degree: 2018, University of Nevada – Reno

URL: http://hdl.handle.net/11714/3450

► Accurate, high-resolution vehicle data including location, speed, and direction is essential to connected-vehicle applications, micro-level traffic performance evaluation, and adaptive traffic control. The connected-vehicle system… (more)

▼ Accurate, high-resolution vehicle data including location, speed, and direction is essential to connected-vehicle applications, micro-level traffic performance evaluation, and adaptive traffic control. The connected-vehicle system provides longer detection distance for drivers (or autonomous vehicles) and pedestrians to “see” around corners or “through” other vehicles so that threats can be perceived earlier. The current connected-vehicle system highly relies on information broadcasted by each vehicle. The maximum safety benefits of current connected-vehicle deployment would need all vehicles to have connected-vehicle devices and broadcast their information in real time. However, the mixed traffic with connected-vehicles and unconnected-vehicles will exist for the next decades or even longer. Therefore, supplemental data to help the connected-vehicle deployment needs to be considered. The traditional traffic sensors only generate macro information like occupancy and estimated average speed. Hence the existed sensors would not be able to aid the research and application of connected vehicles with high accuracy vehicle data. Hence another innovative method which could yield high-resolution traffic data is desired. This research developed a data processing procedure for detection and tracking of multi-lane multi-vehicle trajectories with a roadside Light Detection and Ranging (LiDAR) sensor. Different from existing perception methods for the autonomous vehicle system, this procedure was explicitly developed to extract trajectories from a roadside LiDAR sensor. This procedure includes six steps. They are preprocessing of the raw data, statistical outlier removal, least median of squares-based ground estimation method to accurately remove the ground points, vehicle data clouds clustering, principal component-based oriented bounding box method to estimate the location of the vehicles and geometrically based tracking algorithm. The developed procedure has been tested against the intersection of Evans Street and Enterprise Road; a two way stops sign intersection; and Kietzke lane, an arterial road with 40 mph speed limit in Reno, Nevada. Then, the data extraction procedure has been validated by comparing tracking results and speeds logged from a testing vehicle through the onboard diagnostics interface (OBD-I), at a parking lot of University of Nevada, Reno. The validation results suggest that the tracking speed matches real driving speed accurately.A case study was conducted to examine the accuracy of tracking multiple objects on the roads. 1000 data frames from the intersection of 15th Street and Virginia Street in Reno, Nevada, were used as source data frames. The proposed data processing framework successfully tracked 37 objects out of 38 objects on the road, which gives an accuracy of 97.4%. Then a support vector machine-based algorithm was developed to differentiate pedestrians/bicyclists and cars/buses. With the Radial Basis Function (RBF) kernel, this algorithm correctly classifies 35 objects among 38 objects, which… Advisors/Committee Members: Xu, Hao (advisor), Tian, Zong (committee member), Kelley, Richard (committee member), Hajj, Elie Y. (committee member), Faircloth, Sheri (committee member).

Subjects/Keywords: Connected Vehicles; Fuel Consumption Estimation; Roadside LiDAR; Traffic Mobility; Traffic Safety; Vehicle Speed Tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sun, Y. (2018). 3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/3450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sun, Yuan. “3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data.” 2018. Thesis, University of Nevada – Reno. Accessed February 27, 2021. http://hdl.handle.net/11714/3450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sun, Yuan. “3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data.” 2018. Web. 27 Feb 2021.

Vancouver:

Sun Y. 3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data. [Internet] [Thesis]. University of Nevada – Reno; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11714/3450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun Y. 3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data. [Thesis]. University of Nevada – Reno; 2018. Available from: http://hdl.handle.net/11714/3450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

17. Zarinbal Masouleh, Amir. Adaptive Traffic Signal Optimization Using Bluetooth Data.

Degree: 2017, University of Waterloo

URL: http://hdl.handle.net/10012/12573

► Traffic congestion continues to increase in urban centers causing significant economic, environmental, and social impacts. However, as urban areas become more densely developed, opportunities to… (more)

▼ Traffic congestion continues to increase in urban centers causing significant economic, environmental, and social impacts. However, as urban areas become more densely developed, opportunities to build more roadways decline and there is an increased emphasis to maximize the utilization of the existing facilities through the use of more effective advanced traffic management systems (ATMS). In recent years, Bluetooth technology has been adapted for use as a sensor for measuring vehicle travel times along a segment of roadway. However, using Bluetooth technology in ATMS such as advanced traffic signal controls has been limited in part because there has been little research conducted to investigate the opportunity to estimate intersection control delay and desired travel time using Bluetooth collected data. Furthermore, until recently, there has been a lack of tools, such as simulation, to predict the behavior of the system before it is developed and deployed. Therefore, the main intention of this research was to develop a robust framework for adaptive traffic signal control using Bluetooth detectors as the main source of data. In this thesis, I addressed the aforementioned challenges and proposed the first integrated framework for real time adaptive traffic signal management using Bluetooth data through the following steps: 1. I have developed a state of the art simulation framework to simulate the Bluetooth detection process. The simulation model was calibrated and validated using field data collected from two custom built Bluetooth detectors. The proposed simulation framework was combined with commercially available traffic microsimulation models to evaluate and develop the use of Bluetooth technology within ATMS. 2. I proposed two methods for estimating control delay at signalized intersections using Bluetooth technology. Method 1 requires data from a single Bluetooth detector deployed at the intersection and estimates delay on the basis of the measured Bluetooth dwell time. This model has a high level of accuracy when the queue length is less than the effective range of the Bluetooth detectors but performs poorly when queues exceed the detector range. Method 2 uses Bluetooth measured travel time to estimate control delay. This method requires data from two Bluetooth detectors, one at the intersection and one upstream. This method can be used regardless of the length of queues. The methods were evaluated using a custom-built simulation framework and field data. The results show that the proposed methods provide an accuracy of mean absolute error equal to 3 seconds, indicating that they are suitable for estimating control delay at signalized intersections. 3. I proposed a method to dynamically optimize green splits of signalized intersection on the basis of control delay estimated from Bluetooth detector data. Evaluation of the proposed method using a simulated hypothetical intersection demonstrated that proposed method is able to provide reduction in average delay in comparison with fixed signal timing and…

Subjects/Keywords: Bluetooth; Simulation; Advanced Traffic Management Systems; Adaptive Traffic Signal Optimization; Green Split Optimization; Offset Optimization; Delay Estimation; Desired Travel Time Estimation

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APA (6^th Edition):

Zarinbal Masouleh, A. (2017). Adaptive Traffic Signal Optimization Using Bluetooth Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zarinbal Masouleh, Amir. “Adaptive Traffic Signal Optimization Using Bluetooth Data.” 2017. Thesis, University of Waterloo. Accessed February 27, 2021. http://hdl.handle.net/10012/12573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zarinbal Masouleh, Amir. “Adaptive Traffic Signal Optimization Using Bluetooth Data.” 2017. Web. 27 Feb 2021.

Vancouver:

Zarinbal Masouleh A. Adaptive Traffic Signal Optimization Using Bluetooth Data. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10012/12573.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zarinbal Masouleh A. Adaptive Traffic Signal Optimization Using Bluetooth Data. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12573

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Hofleitner, Aude. Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic.

Degree: Docteur es, Transport, 2012, Université Paris-Est

URL: http://www.theses.fr/2012PEST1176

►

Face à l’augmentation de la mobilité, les politiques de développement durable cherchent à optimiser l’utilisation des infrastructures de transport existantes. En particulier, les systèmes d’information… (more)

▼

Face à l’augmentation de la mobilité, les politiques de développement durable cherchent à optimiser l’utilisation des infrastructures de transport existantes. En particulier, les systèmes d’information du trafic à large échelle ont le potentiel d’optimiser l’utilisation du réseau de transport. Ils doivent fournir aux usagers une information fiable en temps réel leur permettant d’optimiser leurs choix d’itinéraires. Ils peuvent également servir d’outils d’aide à la décision pour les gestionnaires du réseau. La thèse étudie comment l’émergence des services Internet sur les téléphones portables et la rapide prolifération des systèmes de géolocalisation permet le développement de nouveaux services d’estimation et d’information des conditions de trafic en réseau urbain. L’utilisation des données provenant de véhicules traceurs nécessite le développement de modèles et d’algorithmes spécifiques, afin d’extraire l’information de ces données qui ne sont envoyées, jusqu’à présent, que par une faible proportion des véhicules circulant sur le réseau et avec une fréquence faible. La variabilité des conditions de circulations, due à la présence de feux de signalisation, motive une approche statistique de la dynamique du trafic, tout en intégrant les principes physiques hydrodynamiques (formation et dissolution de files d’attentes horizontales). Ce modèle statistique permet d’intégrer de façon robuste les données bruitées envoyées par les véhicules traceurs, d’estimer les paramètres physiques caractérisant la dynamique du trafic et d’obtenir l’expression paramétrique de la loi de probabilité des temps de parcours entre deux points quelconques du réseau. La thèse s’appuie sur les données et les infrastructures développées par le projet Mobile Millennium à l’Université de Californie, Berkeley pour valider les modèles et algorithmes proposés. Les résultats soulignent l’importance du développement de modèles statistiques et d’algorithmes adaptés aux données disponibles pour développer un système opérationnel d’estimation du trafic à large échelle

Sustainable mobility development requires the optimization of existing transportation infrastructure. In particular, ubiquitous traffic information systems have the potential to optimize the use of the transportation network. The system must provide accurate and reliable traffic information in real-time to optimize mobility choices. Successful implementations are also valuable tools for traffic management agencies. The thesis studies how the emergence of Internet services and location based services on mobile devices enable the development of novel Intelligent Transportation Systems which estimate and broadcast traffic conditions in arterial networks. Sparsely sampled probe data is the main source of arterial traffic data with the prospect of broad coverage in the near future. The small number of vehicles that report their position at a given time and the low sampling frequency require specific models and algorithms to extract valuable information from the available data. On the one hand,…

Advisors/Committee Members: Haj-Salem, Habib (thesis director).

Subjects/Keywords: Estimation; Traffic urbain; Modèle statistique; Données de géo-localisation; Prédiction; Estimation; Arterial traffic; Statistical model; Geolocalization data; Forecast

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hofleitner, A. (2012). Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2012PEST1176

Chicago Manual of Style (16^th Edition):

Hofleitner, Aude. “Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic.” 2012. Doctoral Dissertation, Université Paris-Est. Accessed February 27, 2021. http://www.theses.fr/2012PEST1176.

MLA Handbook (7^th Edition):

Hofleitner, Aude. “Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic.” 2012. Web. 27 Feb 2021.

Vancouver:

Hofleitner A. Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic. [Internet] [Doctoral dissertation]. Université Paris-Est; 2012. [cited 2021 Feb 27]. Available from: http://www.theses.fr/2012PEST1176.

Council of Science Editors:

Hofleitner A. Développement d'un modèle d'estimation des variables de trafic urbain basé sur l'utilisation des technologies de géolocalisation : Leveraging geolocalization technologies to model and estimate urban traffic. [Doctoral Dissertation]. Université Paris-Est; 2012. Available from: http://www.theses.fr/2012PEST1176

University of Minnesota

19. Taghvaeeyan, Saber. Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications.

Degree: PhD, Mechanical Engineering, 2014, University of Minnesota

URL: http://hdl.handle.net/11299/165637

► Many creatures in nature, such as butterflies, newts and mole rats, use the Earth's inherent magnetic field for navigation. They use magnetic field lines and… (more)

▼ Many creatures in nature, such as butterflies, newts and mole rats, use the Earth's inherent magnetic field for navigation. They use magnetic field lines and magnetic field intensity variations to determine their geographical position. In this thesis, similar techniques are developed to measure the positions of individual ferromagnetic objects found all around us in everyday life. Ferromagnetic objects have inherent magnetic fields around them. It is shown here that the magnetic field variation around a ferromagnetic object can be modeled using purely the geometry of the object under consideration. Exploiting this model of the inherent magnetic field, the position of the object can be measured accurately using a small inexpensive magnetic sensor. Further, the use of one or more additional (redundant) sensors and adaptive estimation algorithms eliminates the need for pre-calibration of the measurement system. The significance and applicability of this new sensing principle is shown through three major applications: 1) Imminent automotive crash detection, 2) Non-intrusive piston position estimation, and 3) Portable road-side sensor for vehicle counting, speed measurement, and classification. The work on imminent automotive crash detection is motivated by the need to develop an inexpensive sensor system for an automobile that can predict an imminent collision with another vehicle just before the collision occurs. The prediction needs to occur at least 100 milliseconds before the collision so that there is adequate time to initiate active occupant protection measures during the crash. A vehicle is made of many metallic parts (such as chassis, engine, and body) which have a residual magnetic field and/or get magnetized in the Earth's magnetic field. These magnetic fields create a net magnetic field for the whole vehicle which can be analytically modeled as a function of 2-D position around the vehicle. While this model can be used to estimate position and orientation, a challenge is posed by the fact that the parameters in the analytical function vary with the type and model of the encountered car. Since the type of vehicle encountered is not known a priori, the parameters in the magnetic field function are unknown. The use of both sonar and magnetic sensors and an adaptive estimator is shown to address this problem. While the sonar sensors do not work at very small inter-vehicle distance and have low refresh rates, their use during a short initial time period leads to a reliable estimator. Extensive experimental results are presented using a laboratory wheeled car door and full scale passenger sedans. The results show that planar position and orientation can be accurately estimated for a range of relative motions at different oblique angles. A video showing a real-time demo of the system is included both in the thesis and supplementary files. Next, the proposed sensing principle is adopted to develop a sensor system for non-intrusive measurement of piston position inside a cylinder. Piston position measurement is…

Subjects/Keywords: Adaptive estimation; Imminent crash detection; Magnetic field; Piston position estimation; Traffic sensor

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Taghvaeeyan, S. (2014). Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165637

Chicago Manual of Style (16^th Edition):

Taghvaeeyan, Saber. “Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications.” 2014. Doctoral Dissertation, University of Minnesota. Accessed February 27, 2021. http://hdl.handle.net/11299/165637.

MLA Handbook (7^th Edition):

Taghvaeeyan, Saber. “Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications.” 2014. Web. 27 Feb 2021.

Vancouver:

Taghvaeeyan S. Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11299/165637.

Council of Science Editors:

Taghvaeeyan S. Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165637

Florida Atlantic University

20. Ferri, Marcello G. Investigating the impact of recurrent and non-recurrent congestion on highway operations.

Degree: MS, 2014, Florida Atlantic University

URL: http://purl.flvc.org/fau/fd/FA00004283 ; (URL) http://purl.flvc.org/fau/fd/FA00004283

►

Summary: Traffic congestion is one of the most concerning issues in the transportation system. Recurrent congestion and non-recurrent congestion are explored in this research. This… (more)

Subjects/Keywords: Intelligent transportation systems; Traffic congestion; Traffic estimation; Traffic flow; Transportation – Finance – Decision making; Transportation – Finance – Decision making

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APA (6^th Edition):

Ferri, M. G. (2014). Investigating the impact of recurrent and non-recurrent congestion on highway operations. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004283 ; (URL) http://purl.flvc.org/fau/fd/FA00004283

Chicago Manual of Style (16^th Edition):

Ferri, Marcello G. “Investigating the impact of recurrent and non-recurrent congestion on highway operations.” 2014. Masters Thesis, Florida Atlantic University. Accessed February 27, 2021. http://purl.flvc.org/fau/fd/FA00004283 ; (URL) http://purl.flvc.org/fau/fd/FA00004283.

MLA Handbook (7^th Edition):

Ferri, Marcello G. “Investigating the impact of recurrent and non-recurrent congestion on highway operations.” 2014. Web. 27 Feb 2021.

Vancouver:

Ferri MG. Investigating the impact of recurrent and non-recurrent congestion on highway operations. [Internet] [Masters thesis]. Florida Atlantic University; 2014. [cited 2021 Feb 27]. Available from: http://purl.flvc.org/fau/fd/FA00004283 ; (URL) http://purl.flvc.org/fau/fd/FA00004283.

Council of Science Editors:

Ferri MG. Investigating the impact of recurrent and non-recurrent congestion on highway operations. [Masters Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004283 ; (URL) http://purl.flvc.org/fau/fd/FA00004283

21. Owaniyi, Kunle Meshach. Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016.

Degree: 2019, North Dakota State University

URL: http://hdl.handle.net/10365/31649

► Annual Average Daily Traffic (AADT) data in the transportation industry today is an important tool used in various fields such as highway planning, pavement design,… (more)

Subjects/Keywords: AADT forecasting; AADT prediction methods; annual average data traffic; annual average data traffic estimation; estimating AADT; traffic forecasting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Owaniyi, K. M. (2019). Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016. (Thesis). North Dakota State University. Retrieved from http://hdl.handle.net/10365/31649

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Owaniyi, Kunle Meshach. “Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016.” 2019. Thesis, North Dakota State University. Accessed February 27, 2021. http://hdl.handle.net/10365/31649.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Owaniyi, Kunle Meshach. “Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016.” 2019. Web. 27 Feb 2021.

Vancouver:

Owaniyi KM. Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016. [Internet] [Thesis]. North Dakota State University; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10365/31649.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Owaniyi KM. Geostatistical Interpolation and Analyses of Washington State AADT Data from 2009 – 2016. [Thesis]. North Dakota State University; 2019. Available from: http://hdl.handle.net/10365/31649

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Carnegie Mellon University

22. Gu, Yiming. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.

Degree: 2017, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/800

► Traffic state estimation (TSE) aims to estimate the time-varying traffic characteristics (such as flow rate, flow speed, flow density, and occurrence of incidents) of all… (more)

Subjects/Keywords: Bayesian; Big Data; Hadoop; Intelligent Transportation System; Traffic State Estimation; Transportation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gu, Y. (2017). Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/800

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Thesis, Carnegie Mellon University. Accessed February 27, 2021. http://repository.cmu.edu/dissertations/800.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Web. 27 Feb 2021.

Vancouver:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2021 Feb 27]. Available from: http://repository.cmu.edu/dissertations/800.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/800

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

23. Claudel, Christian. Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering.

Degree: Electrical Engineering & Computer Sciences, 2010, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/9zt7c8qs

► This dissertation presents a new convex optimization-based estimation framework for systems modeled by scalar Hamilton-Jacobi equations. Leveraging the control framework of viability theory, we characterize… (more)

▼ This dissertation presents a new convex optimization-based estimation framework for systems modeled by scalar Hamilton-Jacobi equations. Leveraging the control framework of viability theory, we characterize the solutions to the Hamilton-Jacobi equation by a Lax-Hopf formula, and show that the solution satisfies an inf-morphism property. These two properties, enable us to construct a semi-analytic formula for the solution associated with piecewise affine initial, boundary and internal conditions. The semi-analytic solution is the first major contribution of the thesis. This enables the construction of a scheme which provides numerical solutions of the partial differential equation. In addition to being gridless, the semi-analytic numerical scheme has two main advantages over standard computational methods: it is both exact and very fast.Using the semi-analytic formulation of the solution, we also prove that the Hamilton-Jacobi equation restricts the possible values that the piecewise affine initial, boundary and internal conditions can take, and that the corresponding set of possible values can be expressed in the form of convex constraints. This enables the creation of a framework for solving inverse modeling problems on systems modeled by Hamilton-Jacobi equations using linear programming, which is a contribution of the thesis. The formulation of these inverse modeling problems as convex programs was previously unknown. More generally, the thesis outlines a series of problems, which can now be cast in convex form, thanks to the semi-analytic solution proposed in the first part of the thesis. We apply this framework to solving several inverse modeling and estimation problems arising in transportation engineering, using experimental data from fixed sensors and mobile GPS devices. The problems that can be solved using linear programming include four classes of problems: data consistency verification, data assimilation, data reconciliation, and coefficient estimation. Data consistency verification is used to check if the measurements are compatible with the model assumptions, and are applied to sensor fault detection for instance. Data assimilation and data reconciliation techniques enable the estimation of the state of the system in situations for which the model constraints are incompatible with the measurement constraints. When the model and data constraints are compatible, some quantities related to the state (for instance travel time in the context of transportation engineering) can be estimated using coefficient estimation.

Subjects/Keywords: Electrical Engineering; Applied Mathematics; Convex Optimization; Estimation; Highway traffic

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APA (6^th Edition):

Claudel, C. (2010). Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/9zt7c8qs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Claudel, Christian. “Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering.” 2010. Thesis, University of California – Berkeley. Accessed February 27, 2021. http://www.escholarship.org/uc/item/9zt7c8qs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Claudel, Christian. “Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering.” 2010. Web. 27 Feb 2021.

Vancouver:

Claudel C. Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 Feb 27]. Available from: http://www.escholarship.org/uc/item/9zt7c8qs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Claudel C. Convex formulations of inverse modeling problems on systems modeled by Hamilton-Jacobi equations: applications to traffic flow engineering. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/9zt7c8qs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

24. 朱家松. A self-learning short-term traffic forecasting system through dynamic hybrid approach.

Degree: 2007, University of Hong Kong

URL: http://hdl.handle.net/10722/54469

Subjects/Keywords: Traffic estimation - Mathematical models.

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APA (6^th Edition):

朱家松.. (2007). A self-learning short-term traffic forecasting system through dynamic hybrid approach. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/54469

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

朱家松.. “A self-learning short-term traffic forecasting system through dynamic hybrid approach.” 2007. Thesis, University of Hong Kong. Accessed February 27, 2021. http://hdl.handle.net/10722/54469.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

朱家松.. “A self-learning short-term traffic forecasting system through dynamic hybrid approach.” 2007. Web. 27 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

朱家松.. A self-learning short-term traffic forecasting system through dynamic hybrid approach. [Internet] [Thesis]. University of Hong Kong; 2007. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10722/54469.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

朱家松.. A self-learning short-term traffic forecasting system through dynamic hybrid approach. [Thesis]. University of Hong Kong; 2007. Available from: http://hdl.handle.net/10722/54469

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

25. Han, Xu. Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation.

Degree: MS, Department of Civil and Environmental Engineering, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/8049g5125

► Transit Signal Priority (TSP) strategies are widely used to reduce bus travel delay and improve bus service performance. State-of-the-art TSP strategies help buses cross intersections… (more)

Subjects/Keywords: Adaptive TSP; Traffic Simulation; Bus Delay Estimation; Transit Priority

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APA (6^th Edition):

Han, X. (2013). Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8049g5125

Chicago Manual of Style (16^th Edition):

Han, Xu. “Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation.” 2013. Masters Thesis, University of Alberta. Accessed February 27, 2021. https://era.library.ualberta.ca/files/8049g5125.

MLA Handbook (7^th Edition):

Han, Xu. “Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation.” 2013. Web. 27 Feb 2021.

Vancouver:

Han X. Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Feb 27]. Available from: https://era.library.ualberta.ca/files/8049g5125.

Council of Science Editors:

Han X. Development and Implementation of an Adaptive Transit Signal Priority Strategy in Microscopic Simulation. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/8049g5125

University of Michigan

26. Zhao, Yan. Traffic State Estimation Using Probe Vehicle Data.

Degree: PhD, Mechanical Engineering, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/155289

► Traffic problems are becoming a burden on cities across the world. To prevent traffic accidents, mitigate congestion, and reduce fuel consumption, a critical step is… (more)

Subjects/Keywords: Traffic state estimation; Probe vehicle; Data mining; Transportation; Engineering

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APA (6^th Edition):

Zhao, Y. (2020). Traffic State Estimation Using Probe Vehicle Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155289

Chicago Manual of Style (16^th Edition):

Zhao, Yan. “Traffic State Estimation Using Probe Vehicle Data.” 2020. Doctoral Dissertation, University of Michigan. Accessed February 27, 2021. http://hdl.handle.net/2027.42/155289.

MLA Handbook (7^th Edition):

Zhao, Yan. “Traffic State Estimation Using Probe Vehicle Data.” 2020. Web. 27 Feb 2021.

Vancouver:

Zhao Y. Traffic State Estimation Using Probe Vehicle Data. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2027.42/155289.

Council of Science Editors:

Zhao Y. Traffic State Estimation Using Probe Vehicle Data. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155289

Washington State University

27. [No author]. A methodology for obtaining traffic data input to the NCHRP 1-37A PDG .

Degree: 2005, Washington State University

URL: http://hdl.handle.net/2376/389

Subjects/Keywords: Traffic estimation.; Pavements – Performance.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

author], [. (2005). A methodology for obtaining traffic data input to the NCHRP 1-37A PDG . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

author], [No. “A methodology for obtaining traffic data input to the NCHRP 1-37A PDG .” 2005. Thesis, Washington State University. Accessed February 27, 2021. http://hdl.handle.net/2376/389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

author], [No. “A methodology for obtaining traffic data input to the NCHRP 1-37A PDG .” 2005. Web. 27 Feb 2021.

Vancouver:

author] [. A methodology for obtaining traffic data input to the NCHRP 1-37A PDG . [Internet] [Thesis]. Washington State University; 2005. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2376/389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. A methodology for obtaining traffic data input to the NCHRP 1-37A PDG . [Thesis]. Washington State University; 2005. Available from: http://hdl.handle.net/2376/389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

28. Ammerlaan, Jelle (author). Traffic Gesture Classification for Intelligent Vehicles.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917

► Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have… (more)

▼ Self-driving vehicles have shown rapid development in recent years and continue to move towards full autonomy. For high or full automation, self-driving vehicles will have to be able to address and solve a broad range of situations, one of which is interaction with traffic agents. For correct and save maneuvering through these situations, reliable detection of agents followed by an accurate classification of the traffic gestures used by agents is essential. This problem has received limited attention in literature to date. The objective of this work is to establish and investigate a working traffic gesture pipeline by leveraging the latest developments in the fields of computer vision and machine learning. This work investigates and compares how well state-of-the-art methods translate to traffic gesture recognition and what application specific problems are encountered. Multiple configurations based on skeletal features, estimated using OpenPose, and classified using recurrent neural networks (RNN) were investigated. Skeleton estimation using OpenPose and feature representations were evaluated using an action recognition dataset with motion capture ground-truth. Three RNN network architectures, varying in complexity and size, were evaluated on traffic gestures. The robustness of the developed system regarding viewpoint variation is explored, combined with the viability of transfer learning for traffic gestures. To train and validate these methods, a new traffic gesture dataset is introduced, on which an mAP of 0,70 is achieved. The results show that the proposed methods are able to classify traffic gestures within reasonable computation time and illustrate the value of transfer learning for gesture recognition. These promising results validate the methodology used and show that this direction warrants further research. Advisors/Committee Members: Flohr, Fabian (mentor), Kooij, Julian (mentor), Gavrila, Dariu (graduation committee), de Winter, Joost (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Machine Learning; Intelligent Vehicles; Traffic Gestures; Pose estimation; Gesture recognition

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APA (6^th Edition):

Ammerlaan, J. (. (2020). Traffic Gesture Classification for Intelligent Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917

Chicago Manual of Style (16^th Edition):

Ammerlaan, Jelle (author). “Traffic Gesture Classification for Intelligent Vehicles.” 2020. Masters Thesis, Delft University of Technology. Accessed February 27, 2021. http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917.

MLA Handbook (7^th Edition):

Ammerlaan, Jelle (author). “Traffic Gesture Classification for Intelligent Vehicles.” 2020. Web. 27 Feb 2021.

Vancouver:

Ammerlaan J(. Traffic Gesture Classification for Intelligent Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Feb 27]. Available from: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917.

Council of Science Editors:

Ammerlaan J(. Traffic Gesture Classification for Intelligent Vehicles. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:6272db65-b324-40cf-83aa-6d7caf3c7917

Brigham Young University

29. Forbush, Taylor R. Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development.

Degree: MS, 2011, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3470&context=etd

► Currently there are several methods to measure the performance of surface streets, but their capabilities in dynamically estimating vehicle delay are limited. The objective of… (more)

Subjects/Keywords: automated delay estimation; arterial delay; traffic delay; Civil and Environmental Engineering

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APA (6^th Edition):

Forbush, T. R. (2011). Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3470&context=etd

Chicago Manual of Style (16^th Edition):

Forbush, Taylor R. “Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development.” 2011. Masters Thesis, Brigham Young University. Accessed February 27, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3470&context=etd.

MLA Handbook (7^th Edition):

Forbush, Taylor R. “Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development.” 2011. Web. 27 Feb 2021.

Vancouver:

Forbush TR. Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development. [Internet] [Masters thesis]. Brigham Young University; 2011. [cited 2021 Feb 27]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3470&context=etd.

Council of Science Editors:

Forbush TR. Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development. [Masters Thesis]. Brigham Young University; 2011. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3470&context=etd

Univerzitet u Beogradu

30. Čelar, Nikola Đ., 1973-. Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici.

Degree: Saobraćajni fakultet, 2015, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:7286/bdef:Content/get

►

Saobraćaj-Drumski i gradski saobraćaj / Traffic-Road and Urban Transport

Doktorska disertacija prikazuje originalan pristup analizi saobraćajnog procesa na signalisanoj raskrsnici i utvrđivanju osnovnog pokazatelja efikasnosti… (more)

▼

Saobraćaj-Drumski i gradski saobraćaj / Traffic-Road and Urban Transport

Doktorska disertacija prikazuje originalan pristup analizi saobraćajnog procesa na signalisanoj raskrsnici i utvrđivanju osnovnog pokazatelja efikasnosti – vremenskih gubitaka. Aktuelne metode i modeli ne obezbeđuju preciznu procenu vrednosti gubitaka. Kao osnovni nedostaci navode se pojednostavljena teorijska interpretacija procesa u okviru neeksperimentalnih, odnosno indirektnost istraživanja i veličina uzorka u okviru eksperimentalnih metoda. Formiranje objektivnih metoda utvrđivanja gubitaka zahteva potpunu spoznaju procesa u kome dolazi do njihovog nastajanja. U radu je formirana metodologija istraživanja parametara u procesima kretanja vozila u zoni signalisane raskrsnice. Osnovu metodologije predstavlja metod utvrđivanja trajektorija kretanja vozila primenom GPS tehnologije prikupljanja podataka. Primenom metodologije obezbeđuje se formiranje trajektorija vozila visokog nivoa preciznosti i detaljnosti, što predstavlja osnovu za analizu saobraćajnog procesa, utvrđivanje vrednosti osnovnih parametara i njihovog uticaja na vremenske gubitke. Rezultati istraživanja na signalisanim raskrsnicama i formirani zaključci se u određenim segmentima razlikuju od onih koje su utvrdili drugi autori. Na osnovu istraživanja razvijen je analitički model vremenskih gubitaka za nezasićena stanja. U modelu, ukupni vremenski gubici se posmatraju na mikroskopskom nivou, kroz komponente gubitaka koje nastaju u procesima kretanja vozila u različitim tipovima trajektorija. Analitički model predstavlja osnovu formiranog metoda eksperimentalnog utvrđivanja vremenskih gubitaka (MEIS). U okviru metoda gubici se utvrđuju na osnovu direktnog istraživanja vremenske komponente kretanja svakog pojedinačnog vozila koje je ostvarilo vremenski gubitak. Na osnovu rezultata praktične primene na signalisanim raskrsnicama u Beogradu, zaključeno je da je formirani metod validan u postupku utvrđivanja ukupnih vremenskih gubitaka za nezasićena stanja, kao i da se njegovom primenom eliminišu neki od osnovnih nedostataka postojećih metoda utvrđivanja gubitaka...

Advisors/Committee Members: Vukanović, Smiljan M., 1947-.

Subjects/Keywords: traffic process; signalized intersection; control delay; delay estimation methods

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APA (6^th Edition):

Čelar, Nikola Đ., 1. (2015). Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:7286/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Čelar, Nikola Đ., 1973-. “Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici.” 2015. Thesis, Univerzitet u Beogradu. Accessed February 27, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:7286/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Čelar, Nikola Đ., 1973-. “Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici.” 2015. Web. 27 Feb 2021.

Vancouver:

Čelar, Nikola Đ. 1. Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici. [Internet] [Thesis]. Univerzitet u Beogradu; 2015. [cited 2021 Feb 27]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:7286/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Čelar, Nikola Đ. 1. Prilog analizi saobraćajnog procesa na signalisanoj raskrsnici. [Thesis]. Univerzitet u Beogradu; 2015. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:7286/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations