Automated vehicles or AVs (ie, those that have the ability to operate without a driver and can
communicate with the infrastructure) may transform the transportation system. This study …

In this paper, we study a theoretical traffic control problem with the consideration of vehicle-
to-infrastructure communications. During the control process, vehicles approaching the …

Usually, vehicles' stop-and-go driving will consume more fuel and emit more CO_2 than
constant speed driving. To reduce vehicles' CO_2 emissions, vehicles' travel should be …

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

Recent advances in connected vehicle technologies enable vehicles and signal controllers
to cooperate and improve the traffic management at intersections. This paper explores the …

The traffic in urban areas is mainly regularized by traffic lights, which may contribute to the
unnecessary long waiting times for vehicles if not efficiently configured. This inefficient …

This paper models the traffic light control domain using a fuzzy ontology and applies it to
control isolated intersections. Proposing an independent module for reusing traffic light …

The development of connected and automated vehicle technologies allows for cooperative
control of vehicles and traffic signals at intersections. This study aims at exploring the …

In this paper, a new cooperative control aiming at reducing the time delay is proposed in an
isolated intersection without the traffic light. First of all, the control center receives the time …

This study addresses the intricate challenges of urban traffic congestion by presenting a
novel Multi-Agent Reinforcement Learning (MARL) approach. In response to the critical …