Car-following behavior is the result of the interaction of various elements in the specific
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …

This paper analyzes the characteristics of mixed traffic flow with maximum platoon size of
connected automated vehicles (CAVs) based on analytical and simulation methods. First …

Connected and automated vehicles (CAVs), with the capability to exchange information with
other CAVs and the infrastructure, open up new opportunities in road traffic systems …

The recent advancement in industrial technology has offered new opportunities to overcome
different problems of stochastic driving behavior of humans through effective implementation …

Rear-end crashes are among the most common crash types at signalized intersections. To
examine the risk factors for the occurrence of this crash type, this study involved the analysis …

Autonomous Vehicles (AVs) with their immaculate sensing and navigating capabilities are
expected to revolutionize urban mobility. Despite the expected benefits, this emerging …

Reinforcement learning (RL) methods for energy saving and greening have recently
appeared in the field of autonomous driving. In inter-vehicle communication (IVC), a feasible …

The operational and safety performance of intersections is the key to ensuring the efficient
operation of urban traffic. With the development of automated driving technologies, the …

The management of lanes for mixed traffic flow consisting of connected automated vehicles
(CAVs) and human-driven vehicles (HDVs) can effectively improve the operational efficiency …

Recent advancements in the industrial revolution and artificial intelligence have aided in the
development of novel approaches that have considerable potential for increasing the …