Cooperative Urban Driving Strategies at Signalized Intersections

Doctoral Thesis (2022)
Author(s)

Meiqi Liu (TU Delft - Transport and Planning)

Research Group
Transport and Planning
Copyright
© 2022 M. Liu
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 M. Liu
Research Group
Transport and Planning
ISBN (print)
978-90-5584-307-7
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Abstract

Growth in the number of vehicles causes excessive traffic congestion and travel delay on urban roads, especially at signalized intersections. The recent advances in connected and automated vehicle (CAV) technology and the upgrade of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Infrastructure-to-Vehicle (I2V) communications have been proposed as potential solutions to efficient and effective urban transportation. CAVs enable the capability to share data, communicate with neighboring vehicles and roadside infrastructures, and connect to traffic control systems, and therefore offer the benefits to reduce congestion and pollution levels and improve comfort and road safety. CAV platoons can coordinate member vehicles for a common goal in platooning. In this way, vehicles can be cooperative to accelerate/decelerate facing the traffic signal controllers on urban roads. The challenge is posed by the diversity of signal control approaches, such as fixed-timing, actuated, and adaptive signals. However, the benefits and effectiveness of CAV platoon trajectory optimization for all those various systems in the vicinity of signalized intersections remain unclear in research and also practice...

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