Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …

The objective of this paper is to systematically review remote sensing data fusion
techniques, autonomous vehicle driving perception algorithms, and mobility simulation tools …

Connected and automated vehicles (CAVs) require multiple tasks in their seamless
maneuverings. Some essential tasks that require simultaneous management and actions …

Platooning and coordination are two implementation strategies that are frequently proposed
for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersections …

The future of Autonomous Vehicles (AVs) will experience a breakthrough when collective
intelligence is employed through decentralized cooperative systems. A system capable of …

Intelligent traffic light control (ITLC) algorithms are very efficient for relieving traffic
congestion. Recently, many decentralized multi-agent traffic light control algorithms are …

Autonomous driving has witnessed incredible advances in the past several decades, while
Multi-Agent Reinforcement Learning (MARL) promises to satisfy the essential need of …

Twin delayed deep deterministic (TD3) policy gradient is an effective algorithm for
continuous action spaces. However, it cannot efficiently explore the spatial space and …

In recent years, electrified mobility (e-mobility), especially connected and autonomous
electric vehicles (CAEVs), has been gaining momentum along with the rapid development of …

The development of connected and automated vehicles (CAVs) is the key to improving
urban mobility safety and efficiency. This article focuses on cooperative vehicle …