This paper investigates connected cruise control (CCC) based on the deep reinforcement
learning algorithm to mitigate oscillations and improve traffic safety in stop-and-go waves. A …

With the development of vehicle-to-vehicle (V2V)/vehicle-to-infrastructure (V2I)
communication systems, the spacing between two vehicles is shortened effectively and the …

With the rapid development of information and communication technology, future intelligent
transportation systems will exhibit a trend of cooperative driving of connected vehicles …

In this paper, we propose a reinforcement learning (RL) approach to the coordinated control
of multi-agent systems with a special emphasis on intelligent transportation systems. As a …

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 …

The development of vehicle-to-vehicle (V2V) improves the cooperation efficiency of the
connected autonomous vehicle (CAV) platoon. However, the failure of the network …

This paper investigates intersection control of multiple vehicles using a Model Predictive
Control (MPC) framework. Vehicles follow pre-defined paths across the intersection and …

Connected vehicles will change the modes of future transportation management and
organization, especially at an intersection without traffic light. Centralized coordination …

Connected Automated Vehicles (CAVs) have drawn much attention in recent years. High
reliable automatic technologies can help CAVs to follow given trajectories well. However …

Digital Twin, as an emerging technology related to Cyber-Physical Systems (CPS) and
Internet of Things (IoT), has attracted increasing attentions during the past decade …