This paper proposes a cooperative scheduling mechanism for autonomous vehicles passing
through an intersection, called TP-AIM. The main objective of this research is to ensure safe …

Creating rational driving options and designing the decision process to select the best
solution in a traffic situation with multiple participants present is a challenging problem …

This work considers the problem of cooperative optimal trajectory generation for
autonomous driving. A distributed nonlinear model predictive control (NMPC) for each …

This paper presents a non-cooperative vehicle-to-vehicle trajectory-planning algorithm with
consideration of the characteristics of different drivers. The driver–vehicle model considering …

We address the problem of motion planning for four-way intersection crossings with right-of-
ways. Road safety typically assigns liability to the follower in rear-end collisions and to the …

This paper considers the problem of optimal trajectory generation for the realization of
autonomous driving involving a human driven vehicle (HDV). The path-planning algorithm …

Autonomous shipping brings a great opportunity to improve the maritime traffic safety,
reliability, and to reduce the cost, whose prototypes are expected to be industrialized in …

A vehicle-to-vehicle (V2V) cooperative trajectory-planning algorithm for connected vehicles
driven on a winding road considering characteristics of human drivers is presented in this …

Connected and automated vehicles provide a new opportunity for highly advanced collision
avoidance, in which several cars cooperate to reach an optimal overall outcome, that no …

Priority assignment in the multi-robot path planning becomes a key challenge in the present
situation. The motivation for the priority assignment is to utilize the search space for all the …