The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

Left turning for autonomous vehicles at intersections is challenging due to the various
driving behaviors from different human drivers and the strong interaction between the …

This paper presents a distributed maneuver planner for connected automated vehicles
(CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating …

The decision‐making models that are able to deal with complex and dynamic urban
intersections are critical for the development of autonomous vehicles. A key challenge in …

Connectivity and automation provide the opportunity to enhance safety and mitigate
congestion in transportation systems. In fact, these technologies can enhance the efficiency …

New application domains have faded the barriers between humans and robots, introducing
a new set of complexities to robotic systems. The major impediment is the uncertainties …

Autonomous vehicles are expected to display human-like behavior, at least to the extent that
their decisions can be intuitively understood by other road users. If this is not the case, the …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

Recent developments in vehicle automation require simulations of human-robot interactions
in the road traffic context, which can be achieved by computational models of human …

An essential and challenging task for autonomous vehicles (AVs) is turning at mixed-flow
intersections when they interact with motorized, non-motorized and pedestrian traffic …