Delft University of Technology
van Rest, Max (author).
A decentralized traffic control strategy for various levels of vehicle technology in an urban network.
Degree: 2017, Delft University of Technology
There is a high probability that communication between vehicles in a traffic network and between vehicles and traffic controllers will be the next major wave of technological innovation in traffic. The collection of data of communicating vehicles in traffic offers live information about the traffic conditions, which can be used to control traffic optimally. It is expected that in the coming years a new vehicle type will take part in traffic that is able to navigate through traffic without driver and communicates with traffic controllers to share its information and receive its optimal trajectory: the automated vehicle. The automated vehicle is different from the autonomous vehicle, which does not communicate with traffic controllers or other traffic. The traffic mixture consisting of conventional, connected and automated vehicles will change gradually over time. Designing a traffic control strategy that performs well for traffic consisting of different shares of these three types of vehicles and requires only a limited amount of computational power will be a main challenge in traffic control the coming years. This report proposes a traffic control strategy and assesses the influences of this strategy on the network wide traffic conditions using a traffic simulation. In this way, the research will provide insight in the effects of vehicle connectivity and automation on the network wide traffic conditions. Based on the live traffic information from the communicating vehicles in a network, traffic can be controlled from two sides: the traffic signal control and the automated vehicle trajectory control. The traffic control method proposed in this report works as follows: first, the traffic controller collects all the information of connected and automated vehicles in the network to update the vehicle set. Locations and speeds of connected and automated vehicles can be obtained directly. Automated vehicles also provide the traffic controller of information of the non-communicating vehicles in their surroundings, detected by their sensors. Then, the virtual departure time of each vehicle will be determined, which is the time at which the vehicle would depart not hindered by other traffic or traffic signal and can be calculated using the kinematic laws. Also the corresponding virtual departure speed is determined for each vehicle. Then, starting from the first vehicle on the link, the expected departure time will be calculated, based on the virtual departure time and the traffic signal state. The expected departure times and speeds of the other vehicles on the link will be based on their virtual departure time, the expected departure time of the vehicles in front of the vehicle and the signal state. The virtual and expected departure times and speeds are used for both the signal control and the trajectory control. This report presents a decentralized signal control to limit the computational power required in large traffic networks. This signal control is based on the original back-pressure algorithm,…
Advisors/Committee Members: Knoop, Victor (mentor), Hoogendoorn, Serge (mentor), De Schutter, B (mentor), Menéndez, M (mentor), Yang, K (mentor), Delft University of Technology (degree granting institution).
to Zotero / EndNote / Reference
APA (6th Edition):
van Rest, M. (. (2017). A decentralized traffic control strategy for various levels of vehicle technology in an urban network. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2f047997-1aff-42e3-9e2d-c8275f42c8d2
Chicago Manual of Style (16th Edition):
van Rest, Max (author). “A decentralized traffic control strategy for various levels of vehicle technology in an urban network.” 2017. Masters Thesis, Delft University of Technology. Accessed April 11, 2021.
MLA Handbook (7th Edition):
van Rest, Max (author). “A decentralized traffic control strategy for various levels of vehicle technology in an urban network.” 2017. Web. 11 Apr 2021.
van Rest M(. A decentralized traffic control strategy for various levels of vehicle technology in an urban network. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 11].
Available from: http://resolver.tudelft.nl/uuid:2f047997-1aff-42e3-9e2d-c8275f42c8d2.
Council of Science Editors:
van Rest M(. A decentralized traffic control strategy for various levels of vehicle technology in an urban network. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:2f047997-1aff-42e3-9e2d-c8275f42c8d2