This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

Intersection management of Connected Autonomous Vehicles (CAVs) has the potential to
improve safety and mobility. CAVs approaching an intersection can exchange information …

The rapid conceptual development and commercialization of connected automated vehicle
(CAV) has led to the problem of mixed traffic, ie, traffic mixed with CAVs and conventional …

To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

Traffic noise is continuously rising alongside roadways, especially at intersections, due to
rapid urbanization, eventually affecting acoustical climate and quality of life. This present …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

Cooperative driving, especially the passing order, is the critical link to improve the traffic
efficiency of the road network by using automated vehicles (AVs). However, most studies …

To address the coordination issue of connected automated vehicles (CAVs) at urban
scenarios, a game-theoretic decision-making framework is proposed that can advance …

Cooperative driving at isolated intersections attracted great interest and had been well
discussed in recent years. However, cooperative driving in multi-intersection road networks …