Backgrounds: The traffic signal control (TSC) system could be more intelligently controlled
by deep reinforcement learning (DRL) and information provided by connected and …

To investigate the effects of different market penetration rates (MPRs) of intelligent vehicles–
Intelligent Driving Model (IDM) for autonomous vehicles (AVs), Adaptive Cruise Control …

Human drivers are requested by the Automated Vehicle (AV) to perform takeover actions if
needed. Existing research mainly focuses on predicting the takeover quality due to …

为提高立交桥通行效率, 在考虑车辆通过立交桥过程中存在多次分离, 交汇行为基础上,
利用时延Petri 网(timed Petri net, TdPN) 建立智能网联车完整通过过程仿真模型; …

To better prepare and guide both intersection planning and operations under different
market penetration rates (MPRs) of connected and autonomous vehicles (CAVs) and traffic …

With the rapid advancement of connected and autonomous vehicles (CAV) in terms of
testing and usage, the implementation of the autonomous interchange in the real world has …

To improve the traffic efficiency of interchange, a simulation model of complete process is
built by timed Petri net (TdPN) considering multiple separation and merging behaviors in the …

Connected and autonomous vehicle (CAV) technologies could significantly change the car-
following behaviors and affect the performance of the intersection systems. As it is expected …

CAV technologies have an enormous potential to bring opportunities for innovating traffic
control systems in terms of safety and operational efficiency, as well as improved energy …