Autonomous vehicles (AVs) may have significant environmental impacts although there are
still few studies focusing solely on these effects. A vast majority of articles address …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …

A Digital Twin is a digital replica of a living or nonliving physical entity, and this emerging
technology attracted extensive attention from different industries during the past decade …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

Vehicle platoon control based on vehicle-to-vehicle (V2V) communication is one of the
promising technologies to improve the performance of transportation systems. This paper …

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 …

Human and social factors are essential to transportation systems, yet top-down management
fails to consider them sufficiently. Consequently, management strategies are not tailored to …