Connected Autonomous Vehicles (AVs) promise innovative solutions for traffic flow
management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication …

This paper addresses the problem of optimally coordinating connected vehicles crossing an
intersection without any explicit traffic signals. We propose a game-in-game framework that …

The macroscopic evaluation of road traffic characteristics is vital as they will alter
significantly with the emergence of Connected and Autonomous Vehicles (CAVs). The …

Driving automation is becoming an increasing trend in the automotive industry as vehicles
become more and more intelligent, while information is shared among them and with the …

Connected and automated vehicles (CAVs) are expected to make use of Vehicle-to-
Everything (V2X) communication to exchange sensor and trajectory data. Using this data …

A solution to provide greater road safety consists in making vehicles move much closer to
each other, ie using platoons, and to avoid the constant stop-and-go in urban traffic. This …

This paper considers a network of intersections, traversed by autonomous vehicles. Vehicles
negotiate the right-of-way before traversing each intersection. The cooperative traffic …

Autonomous vehicle is able to facilitate road safety and traffic efficiency and has become a
promising trend of future development. With a focus on highways, existing literatures studied …

Autonomous Vehicles (AVs) promise to disrupt the traditional systems of transportation. An
autonomous driving environment requires an uninterrupted, continuous stream of data and …

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 …