How to drive safely in complex real-world traffic settings has long been a question and
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …

Connected and autonomous vehicles (CAVs) are expected to significantly improve traffic
efficiency and safety. However, the overall impacts of CAVs on mixed traffic have not been …

With the rapid development of autonomous driving, Autonomous Vehicles (AVs) have
started to appear on public roads, which has inevitably affected current traffic conditions and …

This paper proposes a capacity analysis model for a mixed traffic flow environment that
considers the heterogeneity and maximum platoon size of connected vehicles. Firstly, we …

Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …

Connected Autonomous Vehicles (CAVs) are the near future mode of transportation. Thus, it
is necessary to adapt current traffic infrastructure and processes to manage such vehicles in …

Connected and autonomous vehicles (CAVs) have the capability to acquire real‐time
information from each other while human‐driven vehicles (HVs) are standalone in the …

Advances in connected and autonomous vehicles have the promise to reshape the future of
the transportation system. How and when the benefits associated with automation and …

This paper proposes a capacity model to address the impact of automated dedicated lanes
on the capacity of the signalized intersection. Firstly, the car-following modes in the mixed …

In this paper, we attempt to address the issue of controlling the sensitivity parameters (or
control gains) of automated driving vehicles in an open heterogeneous traffic flow system …