Connected automated vehicles (CAVs) have been currently considered as promising
solutions for realization of envisioned autonomous traffic management systems in the future …

The emergence of autonomous vehicles and the advancement of technology over the past
several decades has increased the demand for intelligent intersection management …

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 …

With the development and progress of information technology, especially V2X technology,
the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi …

This paper studies the cooperative driving of connected and automated vehicles (CAVs) at
conflict areas (eg, non-signalized intersections and ramping regions). Due to safety …

Cooperative driving shows great potential to improve traffic safety and efficiency and has
been well discussed in recent years. However, most existing studies focus on ideal traffic …

Cooperative driving emerges as a promising way to improve efficiency and safety for
Connected and Automated Vehicles (CAVs). Its key idea is to design a strategy to schedule …

In urban areas, the problem of recurring daily congestion is constantly increasing. A possible
solution is seen in the application of adaptive traffic signal control (ATSC) systems for the …

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 …

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