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 …

Language models have contributed to breakthroughs in interdisciplinary research, such as
protein design and molecular dynamics understanding. In this study, we reveal that beyond …

A self-driving vehicle can navigate autonomously in smart cities without the need for human
intervention. The emergence of Autonomous Connected Vehicles (ACVs) poses a …

In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

Autonomous vehicle (AV) platoons, especially those with the bidirectional communication
topology, have significant practical value, as they not only increase link capacity and reduce …

Abstract Model-based reinforcement learning (RL) is anticipated to exhibit higher sample
efficiency than model-free RL by utilizing a virtual environment model. However, obtaining …

Speed profiles play an important impact on the operational energy consumption of electric
buses (EBs). In this study, an eco-driving method is proposed for a connected and …

Based on the back-stepping technique, this paper designs an observer-based event-
triggered adaptive platooning control algorithm for autonomous vehicles (AVs) with motion …

Purpose-This study aims to propose an enhanced eco-driving strategy based on
reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the …

This paper presents a comprehensive approach to addressing the challenges of designing a
reliable emergency logistics network under the dynamic uncertainty of natural disasters. The …