The rapidly improving autonomous vehicle (AV) technology will have a significant impact on
traffic safety and efficiency. This study introduces a game-theory-based priority control …

Autonomous intersection management (AIM) is a type of intersection control for autonomous
vehicles which eliminates the need for a traffic signal by using vehicle-to-infrastructure …

With the development of vehicle-to-infrastructure and vehicle-to-vehicle technologies,
vehicles will be able to communicate with the controller at the intersection. Autonomous …

Optimizing autonomous vehicle movements through roadway intersections is a challenging
problem. It has been demonstrated in the literature that traditional traffic control, such as …

When an emergency vehicle (EV) passes through an isolated signal intersection, it is crucial
to ensure the efficient passage of the EV while minimizing the negative impact on ordinary …

Transportation sustainability is adversely affected by recurring traffic congestions, especially
at urban intersections. Frequent vehicle deceleration and acceleration caused by stop-and …

Rule-based and optimization-based autonomous intersection management (AIM) policies
have been evaluated against traditional signal controls in terms of intersection safety …

Establishment of effective cooperation between vehicles and transportation infrastructure
improves travel reliability in urban transportation networks. Lack of collaboration, however …

Existing studies on Autonomous Intersection Management (AIM) primarily focus on regular
vehicles (eg, cars), while ignoring bus priority demands. This paper aims to optimize the bus …

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 …