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Delft University of Technology
1.
Blauw, Mathieu (author).
Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8 
► The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of…
(more)
▼ The Dutch governmental organisation Rijkswaterstaat contributes to the smooth and safe flow of traffic, as both traffic jams and accidents cost society large amounts of money each day. Roads are designed for the current traffic composition. Due to the promotion of Adaptive Cruise Control (ACC) systems, utilisation of these systems is expected to increase. Society benefits from insights into the effects these systems have on traffic flow, as they can help to reduce traffic jams and accidents. ACC systems are designed to increase driving comfort by taking over throttling and braking from the human driver. For optimal driver acceptance, these systems show similar driving behaviour to that of human drivers. However, this is not entirely possible due to limited anticipation. To predict how differences in driving behaviour affect traffic flows, researchers usually perform simulations using parametric car-following models. However, research shows contradictory findings. The goal of this research was to gain insights into the performance of commonly applied parametric car-following models on representing the driving behaviour of ACC systems. Optimal model calibration was obtained by investigating the sensitivity of the model calibration to synthetic data. Investigated were the calibration methodology and the quality and quantity of calibration data. Models are calibrated to real-world driving data from an Audi A4 from 2017. These models were used to assess the capability of representing typical highway scenarios: steady-state car-following, cut-in, cut-out, hard-braking and stop-and-go scenarios. The considered models were the Intelligent Driver Model (IDM) model, which has previously been applied to model the driving behaviour of human drivers, the newly developed simplified ACC (sACC) model and a variant on this model. Insights in the sensitivity of the model calibration were obtained by performing a sensitivity analysis on synthetic data. Essential factors in achieving an optimal model calibration are: 1) the model closely matches the driving behaviour in the data, 2) noise levels are as low as possible and 3) the data should contain as many situations as possible that are also included in the model. The dataset must be sufficiently long to include all these situations and to allow the model to develop its dynamics entirely. Using these insights, a calibration was performed on real-world ACC driving data from an Audi A4 (2017). For the ACC system, it was found: 1) the ACC system exhibits non-linear driving behaviour, 2) the acceleration depends on the current velocity and distance to the desired velocity, 3) the system does not consider an intelligent braking strategy and is thus not able of handling safety-critical driving situations and 4) the model includes a sub-controller which ensures comfortable driving behaviour. Except for the comfortable sub-controller, the non-linear IDM model considers all of these factors and thus best represents the driving behaviour. The linear sACC model cannot represent standing…
Advisors/Committee Members: Happee, Riender (mentor), Knoop, Victor (mentor), Wang, Meng (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: ACC; Adaptive Cruise Control; Car-Following Models; Model Calibration; Calibration; Parametric; Rijkswaterstaat; IDM; Intelligent Driver Model
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APA (6th Edition):
Blauw, M. (. (2019). Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8
Chicago Manual of Style (16th Edition):
Blauw, Mathieu (author). “Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8.
MLA Handbook (7th Edition):
Blauw, Mathieu (author). “Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models.” 2019. Web. 07 Mar 2021.
Vancouver:
Blauw M(. Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8.
Council of Science Editors:
Blauw M(. Representing the Car-Following Behaviour of Adaptive Cruise Control (ACC) Systems Using Parametric Car-Following Models. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:c478714c-6449-4240-ab6d-154017e68dd8
Delft University of Technology
2.
van Maarseveen, Sander (author).
Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187
► In this research, insight is gained into the impacts of truck platooning on traffic performance and safety at motorway on-ramps in mixed traffic using microscopic…
(more)
▼ In this research, insight is gained into the impacts of truck platooning on traffic performance and safety at motorway on-ramps in mixed traffic using microscopic simulation. Thereby different platooning strategies and platoon configurations are considered, that for instance differ in desired platoon inter-vehicle gaps and platoon sizes. The effects are considered for a broad range of traffic intensities and penetration rates of equipped trucks. Merging problems are observed, but these can be solved if the platoon members yield to create a gap for merging vehicles.
Transport and Planning
Advisors/Committee Members: van Arem, Bart (mentor), Wang, Meng (mentor), Happee, Riender (mentor), Tool, Onno (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: truck platooning; motorway on-ramp; merging; traffic performance; traffic safety; microscopic simulation; platooning strategy; platoon configuration
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APA (6th Edition):
van Maarseveen, S. (. (2017). Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187
Chicago Manual of Style (16th Edition):
van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.
MLA Handbook (7th Edition):
van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Web. 07 Mar 2021.
Vancouver:
van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.
Council of Science Editors:
van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187
Delft University of Technology
3.
Brouwer, Jochem (author).
Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:52340af2-ce82-4454-803a-6cddfe69ca63
► The autonomous transit market is on the rise. 2getthere is one of the lead suppliers of automated people moving systems, located in the Netherlands. Their…
(more)
▼ The autonomous transit market is on the rise. 2getthere is one of the lead suppliers of automated people moving systems, located in the Netherlands. Their vehicles can be classified as SAE level 4 automation (Highly Automated) vehicles. This thesis is concerned with the dynamic trajectory generation for 2getthere’s Group Rapid Transport (GRT) mini-bus in case deviation from a nominal trajectory is required. Trajectory generation can be achieved using several planning approaches. However, only few of these approaches can take into account the vehicle’s dynamics, as well as comfort and safety constraints. Moreover a degree of optimality of the deviation is required in order to keep the vehicle as close as possible to the nominal trajectory. A model predictive control (MPC) based trajectory planner is designed to solve a constrained optimal control problem. Using the ACADO toolkit, highly efficient self contained C code is generated to solve the trajectory generation problem very rapidly. A single-track model with front and rear wheel steering is used to predict the four-wheel-steered vehicle’s manoeuvring capabilities in every consecutive initial state. This enables the planner to take into account the GRT’s dynamics, without overcomplicating the optimization problem. The performance of the planner is tested in Simulink.
Systems and Control
Advisors/Committee Members: Keviczky, Tamas (mentor), Kotiadis, Dimitrios (graduation committee), Shyrokau, Barys (graduation committee), Wang, Meng (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: four wheel steered; autonomous; ACADO toolkit; mpc; trajectory generation
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APA (6th Edition):
Brouwer, J. (. (2018). Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:52340af2-ce82-4454-803a-6cddfe69ca63
Chicago Manual of Style (16th Edition):
Brouwer, Jochem (author). “Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses.” 2018. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:52340af2-ce82-4454-803a-6cddfe69ca63.
MLA Handbook (7th Edition):
Brouwer, Jochem (author). “Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses.” 2018. Web. 07 Mar 2021.
Vancouver:
Brouwer J(. Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:52340af2-ce82-4454-803a-6cddfe69ca63.
Council of Science Editors:
Brouwer J(. Collision-free predictive trajectory generation for automated four-wheel-steered mini-buses. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:52340af2-ce82-4454-803a-6cddfe69ca63
Delft University of Technology
4.
Pizzigoni, Edoardo (author).
ACC target performance setting via NDS big data analysis.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
► Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing…
(more)
▼ Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and casualties. However, a significant shift from conventional to automated vehicles must occur before it can have a positive impact on society. If the behaviour of the vehicle is not perceived as natural, the user will most likely not activate the ADAS features again. During this study a naturalistic dataset is used to investigate the driver behaviour, in the hope of bringing the current ACC logic to a more human-like behaviour that will feel more natural to the driver. The research question summarizes the final objective of this study: How can Naturalistic Driving Study (NDS) datasets be used in target performance setting for ACC systems? This study will answer the research question by studying human behaviour in the scene of following an accelerating vehicle. The main body of this thesis is divided in three chapters, one for each step of the research. First the information about the used datasets are provided together with the methodologies used to extract the relevant time-series data. Secondly driver behaviour models are created in order to mathematically characterize human behaviour. The strength of the created models is their ability to represent the full range of driver behaviour in terms of driving style. The aggressiveness parameter of the model can be easily adjusted to represent different percentiles of driver behaviour. This allows for a quick and effective tuning process: by changing a single parameter the driving style of the model can be fully modified. Finally, the driver behaviour models are implemented into a simulation environment. The models are simulated against an existing ACC logic in order to assess the difference in behaviour. The comparison highlighted two conclusions: first, the ACC logic behaves in a very conservative way compared to driver behaviour, especially when starting from standstill. Secondly, the kept by the ACC logic was not consistent throughout the speed range. This variation of the logic's driving style could result even more bothersome to the customer than its general conservative behaviour. The string stability of the driver behaviour models was also assessed. Although the proposed logic proved more stable than the regular ACC logic, it still cannot reach full string stability. Hopefully, with the method developed in this study, the process of getting accustomed to this new
technology will become easier for the customer. Thanks to the driver behaviour models the motion of the vehicle can feel familiar and predictable, with the controller becoming part of the Human Machine Interface (HMI). As the customer gets more familiar with this
technology his expectation will also increase and change, especially as the levels of automation start to…
Advisors/Committee Members: Happee, Riender (mentor), Wang, Meng (graduation committee), Stapel, Jork (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: ACC; ADAS; driver modeling; driver behaviour; Automated vehicles; car following; naturalistic driving study
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APA ·
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APA (6th Edition):
Pizzigoni, E. (. (2019). ACC target performance setting via NDS big data analysis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
Chicago Manual of Style (16th Edition):
Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.
MLA Handbook (7th Edition):
Pizzigoni, Edoardo (author). “ACC target performance setting via NDS big data analysis.” 2019. Web. 07 Mar 2021.
Vancouver:
Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff.
Council of Science Editors:
Pizzigoni E(. ACC target performance setting via NDS big data analysis. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:da09fb40-8142-4545-8440-2c91ef7434ff
Delft University of Technology
5.
Glastra, Thom (author).
Enabling GLOSA for on-street operating traffic light controllers.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:63a21739-a200-4375-8f19-641352e504b2
► The bottleneck of the maximum road volume in urban areas is the maximum capacity of the traffic flow on the intersection, which is coordinated with…
(more)
▼ The bottleneck of the maximum road volume in urban areas is the maximum capacity of the traffic flow on the intersection, which is coordinated with Traffic Light Controllers (TLCs). A promising method to decrease the number of stops are Green Light Optimal Speed Advice (GLOSA) systems. These systems will give a speed advice to arriving vehicles based on the schedule of TLCs, which needs to be known and fixed. However, most on-street controllers change their schedule until the last moment to maximize the performance. In this thesis a predictive controller is developed that is suitable for real-world application based on DIRECTOR; a state-of-the-art predictive controller. A prediction model is used to predict future arrivals based on available measurements to optimize and fix the schedule in advance. The proposed controller can enable GLOSA systems to improve performance. Appropriate pre-processing steps are implemented and the optimal input features are selected to improve the performance of a Long Short-Term Memory (LSTM) network to predict future arrivals. All detection data is stationary over time by using the differenced series. The time data is divided into workdays and weekend days to create a binary input and undesirable jumps during midnight are removed. The combination of stop line detectors, queue detectors, arrival detectors and signal states of the controlled and preceding intersections as input maximized the performance. The prediction horizon of the proposed prediction model could be extended. The Normalized Root Mean Square Error (NRMSE) decreased with 17% compared to DIRECTOR. The proposed controller extends the control horizon and uses multiple prediction models to predict the arrivals for the entire control horizon. The proposed controller outperforms DIRECTOR with 14 - 38% reduction in terms of vehicle delay and 5 - 32% reduction in terms of numbers of stops based on the scheduling mode. The GLOSA system is an add-on of the controller and is able to operate without the GLOSA system. The control horizon of the proposed controller always has a fixed length which is needed to determine the time until green. The implemented GLOSA system will determine the optimal speed based on the time until green and the expected delay due to the surrounding vehicles. The proposed controller is a cloud controlled application. Therefore, it is possible to adjust the setup (i.e. scheduling modes) during the day. Enabling GLOSA all day except during rush hours will lead to 3 - 4% reduction in terms of vehicle delay and 29 - 32% reduction in terms of numbers of stops based on the scheduling mode. This setup of the proposed controller is also competitive with the hand-crafted non-predictive on-street controller. Compared with this controller, the proposed controller will reduce the number of stops with 26% at the cost of 16% increase in vehicle delay. The proposed controller is designed conform the safety standards used on-street. Permission is received from the provincial government to do on-street pilots with the…
Advisors/Committee Members: Gavrila, Dariu (graduation committee), Kooij, Julian (mentor), Wang, Meng (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Traffic flow; Traffic light controller; TLC; Predictive controller; Prediction model; Decentralized control; Model predictive control; green light optimal speed advise; GLOSA
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APA ·
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APA (6th Edition):
Glastra, T. (. (2020). Enabling GLOSA for on-street operating traffic light controllers. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:63a21739-a200-4375-8f19-641352e504b2
Chicago Manual of Style (16th Edition):
Glastra, Thom (author). “Enabling GLOSA for on-street operating traffic light controllers.” 2020. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:63a21739-a200-4375-8f19-641352e504b2.
MLA Handbook (7th Edition):
Glastra, Thom (author). “Enabling GLOSA for on-street operating traffic light controllers.” 2020. Web. 07 Mar 2021.
Vancouver:
Glastra T(. Enabling GLOSA for on-street operating traffic light controllers. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:63a21739-a200-4375-8f19-641352e504b2.
Council of Science Editors:
Glastra T(. Enabling GLOSA for on-street operating traffic light controllers. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:63a21739-a200-4375-8f19-641352e504b2
Delft University of Technology
6.
Dokter, Aiko (author).
Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs).
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:f9db3298-dba4-4de8-89ac-65e13a7e96ff
► The future brings Connected and Automated Vehicles (CAVs), where platooning with small inter-vehicle time gaps is possible. However, before the situation that the entire car…
(more)
▼ The future brings Connected and Automated Vehicles (CAVs), where platooning with small inter-vehicle time gaps is possible. However, before the situation that the entire car park exists of CAVs, there is a transition period. This MSc. thesis has developed two strategies (in MOTUS), to let CAVs actively form platoons with dynamic dedicated lane sections (DDLSs). This means that the lane sections temporarily become dedicated to CAVs only under certain traffic density conditions.
Transport and Planning
Advisors/Committee Members: van Arem, Bart (mentor), Wang, Meng (mentor), Taale, Henk (mentor), Happee, Riender (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Platoon formation strategies; CACC; dedicated lanes
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APA (6th Edition):
Dokter, A. (. (2018). Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs). (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f9db3298-dba4-4de8-89ac-65e13a7e96ff
Chicago Manual of Style (16th Edition):
Dokter, Aiko (author). “Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs).” 2018. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:f9db3298-dba4-4de8-89ac-65e13a7e96ff.
MLA Handbook (7th Edition):
Dokter, Aiko (author). “Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs).” 2018. Web. 07 Mar 2021.
Vancouver:
Dokter A(. Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs). [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:f9db3298-dba4-4de8-89ac-65e13a7e96ff.
Council of Science Editors:
Dokter A(. Active platoon formation in congestion with dynamic dedicated lane sections (DDLSs). [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:f9db3298-dba4-4de8-89ac-65e13a7e96ff
Delft University of Technology
7.
Helmy, Noorhan (author).
An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:d1abdee5-301a-45d8-ae95-c204a2000bbd
► This study explores the possibility of developing a short-term traffic flow prediction model that can be used to convert installed adaptive controllers to predictive controllers…
(more)
▼ This study explores the possibility of developing a short-term traffic flow prediction model that can be used to convert installed adaptive controllers to predictive controllers with minimal hardware changes. By using the prediction model’s outputs to virtually trigger vehicle loop detectors, the outputs of an adaptive controller can be extracted in advance of actual vehicle arrivals. This will enable service providers to send out time to green/red (T2G/R) information or green light optimal speed advice (GLOSA), which are driver assistance use cases that aim to efficiently guide vehicles through intersections, in anticipation of known upcoming signal states. The main requirements for developing the prediction model are that it should be scalable to different intersection configurations, adaptable to different traffic conditions and should encompass the nonlinearity of traffic flow behavior. Since it fits these criteria, the developed model is a multi-task learning recurrent neural network with exogenous inputs (NARX), which is designed to match the traffic flow simulation abilities of a well adopted analytical traffic flow progression model. Both models were tested for a corridor in Delft that experiences almost consistent free flow conditions, and on an intersection in Haarlem with varying traffic conditions. For both case studies the neural network outperformed the analytical model. Most notably, it was better adaptable to long queues at intersections, had lower average error values, made fewer large errors, and better recognized the effect of a source/sink. When interfaced with an adaptive controller to test the predictive control methodology proposed, the superiority of the designed neural network model over the analytical model became more prominent. At no point did the neural network’s prediction errors result in queue spill-back, which was not true for the analytical model. However, the overall accuracy of the NARX model was still not yet satisfactory enough for practical application (especially for highly under-saturated traffic conditions) without the use of corrective measures. Nonetheless, due to its significant superiority over the widely used analytical model, with regards to both accuracy and adaptability, this model can be considered as a new starting point for traffic flow progression modeling.
Transport, Infrastructure and Logistics
Advisors/Committee Members: van Arem, Bart (mentor), Wang, Meng (mentor), Happee, Riender (mentor), Verhoeven, Eddy (mentor), Vermeer, John (mentor), Delft University of Technology (degree granting institution).
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APA (6th Edition):
Helmy, N. (. (2017). An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d1abdee5-301a-45d8-ae95-c204a2000bbd
Chicago Manual of Style (16th Edition):
Helmy, Noorhan (author). “An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes.” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:d1abdee5-301a-45d8-ae95-c204a2000bbd.
MLA Handbook (7th Edition):
Helmy, Noorhan (author). “An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes.” 2017. Web. 07 Mar 2021.
Vancouver:
Helmy N(. An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:d1abdee5-301a-45d8-ae95-c204a2000bbd.
Council of Science Editors:
Helmy N(. An Intelligent Traffic Flow Progression Model for Predictive Control Applications: A Proposed Approach for Making Short-term Traffic Flow Predictions, Using a Recurrent, Multi-task Learning Neural Network Model, to Transform Traffic Light Controllers from Adaptive to Predictive with Minimal Hardware Changes. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:d1abdee5-301a-45d8-ae95-c204a2000bbd
Delft University of Technology
8.
Hamers, Paco (author).
Automated truck platoon model development and effect study of the lane change location on different motorway road sections.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:5c33c234-9ad0-4523-bec3-8496f02eee42
► Truck platooning is seen as a method to reduce truck emissions and labor hours in the transport industry. The effect that truck platooning will have…
(more)
▼ Truck platooning is seen as a method to reduce truck emissions and labor hours in the transport industry. The effect that truck platooning will have on the other traffic receives less attention. In this thesis a methodology is proposed to model truck platoons, including a platoon level controller for lane changing. The model is used to estimate the on-ramp length that vehicles require in order to safely merge into the highway while interacting with platoons and the model is used to estimate the on-ramp length that truck platoons require in order to merge onto the highway if they would do so in platoon formation. Results show that onramps need to be at least 300 meters for other traffic to safely into the highway. For platoons to safely merge into the highway the required distance is heavily dependent on the crowdedness of the highway, ranging between 400-1000 meters of required on-ramp length.
Civil Engineering | Transport and Planning
Advisors/Committee Members: van Arem, Bart (mentor), Calvert, Simeon (mentor), Wang, Meng (mentor), Happee, Riender (mentor), Klunder, Gerdien (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Truck platoon; micro-simulation; on-ramp; road usage; lane change model
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APA (6th Edition):
Hamers, P. (. (2018). Automated truck platoon model development and effect study of the lane change location on different motorway road sections. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5c33c234-9ad0-4523-bec3-8496f02eee42
Chicago Manual of Style (16th Edition):
Hamers, Paco (author). “Automated truck platoon model development and effect study of the lane change location on different motorway road sections.” 2018. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:5c33c234-9ad0-4523-bec3-8496f02eee42.
MLA Handbook (7th Edition):
Hamers, Paco (author). “Automated truck platoon model development and effect study of the lane change location on different motorway road sections.” 2018. Web. 07 Mar 2021.
Vancouver:
Hamers P(. Automated truck platoon model development and effect study of the lane change location on different motorway road sections. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:5c33c234-9ad0-4523-bec3-8496f02eee42.
Council of Science Editors:
Hamers P(. Automated truck platoon model development and effect study of the lane change location on different motorway road sections. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:5c33c234-9ad0-4523-bec3-8496f02eee42
Delft University of Technology
9.
Staiger, Julian (author).
Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523
► Significant developments in the field of Advanced Driver Assistance Systems (A prove traffic management and prediction, driver comfort, and vehicle safety. However, a detailed knowledge…
(more)
▼ Significant developments in the field of Advanced Driver Assistance Systems (A prove traffic management and prediction, driver comfort, and vehicle safety. However, a detailed knowledge of the way vehicles move is crucial for these applications. The mobility behavior has also changed over the last decades significantly. Both individual mobility and the mobility of goods is nowadays an essential part of our economy. The latest trends in vehicle automation are the predicted first signs of a partially/autonomous future of mobility. Whether this future will be with or without individual vehicle ownership will become apparent in the coming years. For the moment, all researchers can do is to work on new topics tomake the future of mobility faster, more efficient, quieter, and safer. Detailed knowledge of state-of-the-art automation systems is essential in order to gain further insights into their effects, e.g., on traffic, the travel behavior of people, the security gaps caused by these systems, and passenger comfort.
Advisors/Committee Members: Pfeffer, Peter E. (mentor), Calvert, Simeon (mentor), Wang, Meng (graduation committee), Delft University of Technology (degree granting institution), Technische Hochschule München (degree granting institution).
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Record Details
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Staiger, J. (. (2020). Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523
Chicago Manual of Style (16th Edition):
Staiger, Julian (author). “Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data.” 2020. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523.
MLA Handbook (7th Edition):
Staiger, Julian (author). “Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data.” 2020. Web. 07 Mar 2021.
Vancouver:
Staiger J(. Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523.
Council of Science Editors:
Staiger J(. Vehicle dynamics in automated traffic: Evaluation of the vehicle dynamics for longitudinal and lateral movement using real driving test data. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:37bf4dde-36e7-4d28-8dcd-6f15f6289523
Delft University of Technology
10.
Abou Harfouch, Youssef (author).
Adaptive strategies for platooning.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20
► Automated driving, one of the rapidly growing research topics in the field of smart traffic, has proved to be a recognized solution for potentially improving…
(more)
▼ Automated driving, one of the rapidly growing research topics in the field of smart traffic, has proved to be a recognized solution for potentially improving road throughput and reducing vehicles' energy consumption by grouping individual vehicles into platoons controlled by one leading vehicle. The advances in distributed inter-vehicle communication networks have stimulated a fruitful line of research in Cooperative Adaptive Cruise Control (CACC). In CACC, individual vehicles, grouped into platoons, must automatically adjust their own speed using on-board sensors and communication with the preceding vehicle so as to maintain a safe inter-vehicle distance. The importance of CACC lies in the fact that it enables small inter-vehicle time gaps, which leads to a major reduction of the aerodynamical drag force applied on vehicles in such a driving pattern. Consequently, vehicle emissions, which play a main role in trucks and heavy automobiles, are expected to be highly reduced. However, a crucial limitation of the state-of-the-art research in this control scheme is that the string stability of the platoon can be proven only when the vehicles in the platoon have identical driveline dynamics and perfect engine performance (homogeneous platoon), and possibly an ideal communication channel. Thus, the objective of this MSc thesis is to address the problem of CACC for heterogeneous platoons under realistic inter-vehicle network conditions. In the first part, we propose a novel CACC strategy that overcomes the homogeneity assumption and that is able to adapt its action and achieve string stability for uncertain heterogeneous platoons under ideal inter-vehicle network conditions. In the second part, in order to handle the inevitable communication losses, we formulate an extended average dwell-time framework and design an adaptive switched control strategy which activates an augmented CACC or an augmented Adaptive Cruise Control strategy depending on communication reliability. Stability of the proposed control strategies is proven analytically and simulations are conducted to validate the theoretical analysis.
Advisors/Committee Members: Baldi, Simone (mentor), Yuan, Shuai (mentor), Verhaegen, Michel (graduation committee), Alonso Mora, Javier (graduation committee), Wang, Meng (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Heterogeneous platooning; Cooperative adaptive cruise control; Adaptive control; Switched control
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Abou Harfouch, Y. (. (2017). Adaptive strategies for platooning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20
Chicago Manual of Style (16th Edition):
Abou Harfouch, Youssef (author). “Adaptive strategies for platooning.” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20.
MLA Handbook (7th Edition):
Abou Harfouch, Youssef (author). “Adaptive strategies for platooning.” 2017. Web. 07 Mar 2021.
Vancouver:
Abou Harfouch Y(. Adaptive strategies for platooning. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20.
Council of Science Editors:
Abou Harfouch Y(. Adaptive strategies for platooning. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:69cbd634-f2af-4856-9fca-8f92b56fab20
Delft University of Technology
11.
Pombo Jimenez, Diana (author).
Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:33afa05d-e741-4b99-bb83-a72b4f76f39f
► In the last years, Floating Car Data (FCD) has risen as a technology that has the potential to replace legacy sensors, reduce associated installation and…
(more)
▼ In the last years, Floating Car Data (FCD) has risen as a
technology that has the potential to replace legacy sensors, reduce associated installation and maintenance costs and offer new possibilities in the field of traffic management. FCD refers to the use of sources such as in-vehicle systems with network connectivity or road users’ mobile phones to collect relevant traffic information (e.g. vehicle speed or intensity). There is extensive literature on the feasibility of using FCD for traffic management purposes and on the added value of fusing legacy sensors data with FCD. These studies have been mostly experimental and a literature review shows that there is no academic work on how to deploy and integrate legacy sensors data and FCD in an actual live setting. This research aims to fill that gap by designing a flexible ICT Architecture that integrates FCD into Rijkswaterstaat’s Traffic Management and Information Systems. Taking an architecture point of view to address this challenge is not only novel but also appropriate because it provides a comprehensive view of what changes need to take place at different levels of the organization (business, information systems and
technology) for this to happen. This research follows a design science research approach, where four main phases can be distinguished: (1) Problem formulation, (2) Building, (3) Reflection and learning and (4) Formalization of learning. The Building phase is further subdivided into the specification of design principles and requirements and the development of the solution ICT Architecture. The outcomes of this research are relevant not only to Rijkswaterstaat but also to other organizations looking to integrate FCD in their traffic systems, to design science researchers and to ICT architects.
Advisors/Committee Members: Tan, Yao-hua (graduation committee), Janssen, Marijn (mentor), van Cranenburgh, Sander (graduation committee), Wang, Meng (graduation committee), Avontuur, G. (graduation committee), Reijnen, A. (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: ICT Architecture; Flexibility; Design Science Research; Action Design Research; Traffic Management
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APA ·
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MLA ·
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CSE |
Export
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APA (6th Edition):
Pombo Jimenez, D. (. (2017). Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:33afa05d-e741-4b99-bb83-a72b4f76f39f
Chicago Manual of Style (16th Edition):
Pombo Jimenez, Diana (author). “Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach.” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:33afa05d-e741-4b99-bb83-a72b4f76f39f.
MLA Handbook (7th Edition):
Pombo Jimenez, Diana (author). “Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach.” 2017. Web. 07 Mar 2021.
Vancouver:
Pombo Jimenez D(. Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:33afa05d-e741-4b99-bb83-a72b4f76f39f.
Council of Science Editors:
Pombo Jimenez D(. Design of a flexible ICT architecture for the integration of Floating Car Data in Rijkswaterstaat’s Traffic Management and Information Systems: A design science research approach. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:33afa05d-e741-4b99-bb83-a72b4f76f39f
. 
Open Access Theses and Dissertations