In the initial period of automobile development, the vast majority of researchers would never
have guessed network communications would be applied to vehicles one day. After the …

Vehicle Group Intelligence (VGI) represents a significant research domain that contributes to
the advancement of intelligent transportation systems. This study employs bibliometric …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Lane-changing trajectory planning (LTP) is an effective concept to control automated
vehicles (AVs) in mixed traffic, which can reduce traffic conflicts and improve overall traffic …

Cooperative driving has great potential to improve traffic safety and efficiency and has been
widely discussed in recent years. However, most existing researches only focus on the ideal …

Bottleneck areas are prone to severe traffic congestion due to the sudden drop in capacity.
To improve traffic efficiency in the bottleneck area, this paper proposes a multi-agent deep …

This study presents a vehicle-level distributed coordination strategy to control a mixed traffic
stream of connected automated vehicles (CAVs) and connected human-driven vehicles …

This paper proposes a centralized relaxation strategy for cooperative lane changes on the
freeway with a connected and automated vehicle (CAV) dedicated lane. Three numerical …

Current literature on joint optimization of intersection signal timing and connected automated
vehicle (CAV) trajectory mostly focuses on vehicular movements paying no or little attention …

This paper formulates a cooperative traffic control methodology that integrates traffic signal
timing and ramp metering decisions into an optimization model to improve traffic operations …