Connected and Autonomous Vehicle (CAV) has attracted much attention as it provides
promising solutions to improve traffic performance in many scenarios, especially …

Ramp merging represents a bottleneck scenario that causes traffic congestion, accidents,
and increases emissions. Connected and Automated Vehicles (CAVs) can realize the …

Complex traffic scenarios pose a challenge to the cooperation control of connected and
automated vehicles (CAVs). Conventional platoon control or advanced driver-assistance …

This paper proposes a novel driver-automation shared control based on a potential-field-
driven model predictive controller (PF-MPC) and a two-layer fuzzy strategy (TLFS) to …

As a beneficial way of increasing traffic capacity, autonomous vehicle platoons have paid
extensive attention recently. This study proposes a Distributed Model Predictive Control …

Abstract Connected and Automated Vehicles (CAV) are regarded as the developing trend of
future transportation due to the advantages in terms of increasing traffic throughput, safety …

Traffic congestion and energy issues have set a high bar for current ground transportation
systems. With advances in vehicular communication technologies, collaborations of …

In this paper, we present a hierarchical distributed coordination strategy for connected and
automated vehicles (CAVs) that are travelling through multiple unsignalized intersections …

Collaborative driving is a growing domain of Intelligent Transportation Systems (ITS) which
aim to navigate traffic both efficiently and safely. Cooperation between vehicles heavily rely …

This paper proposes a cooperative merging control strategy of connected and automated
vehicles (CAVs) using distributed multi-agent Deep Deterministic Policy Gradient …