Reliable and efficient validation technologies are critical for the recent development of multi-
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …

In this paper, we develop a socially cooperative optimal control framework to address the
motion planning problem for connected and automated vehicles (CAVs) in mixed traffic …

In this article, we present the first experimental results of data-driven predictive control for
connected and autonomous vehicles (CAVs) in dissipating traffic waves. In particular, we …

Rapid prototyping of Connected and Automated Vehicles (CAV) is challenging because of
the physical distribution of vehicles. Furthermore, experiments with CAV may be subject to …

This paper addresses the challenge of generating optimal vehicle flow at the macroscopic
level. Although several studies have focused on optimizing vehicle flow, little attention has …

Vehicle platooning using connected and automated vehicles (CAVs) has attracted
considerable attention. In this paper, we address the problem of optimal coordination of CAV …

The increasing demand for emerging mobility systems with connected and automated
vehicles has imposed the necessity for quality testing environments to support their …

In this paper, we develop an optimal weight adaptation strategy of model predictive control
(MPC) for connected and automated vehicles (CAVs) in mixed traffic. We model the …

This paper explores the domain of intelligent transportation systems, specifically focusing on
roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer …

In this paper, we present an optimal control framework to address motion coordination of
connected automated vehicles (CAVs) in the presence of human-driven vehicles (HDVs) in …