This paper aims to evaluate the combined impact of the communication topology (CT) and
vehicular spatial distribution (SD) on mixed traffic of human-driven vehicles (HDVs) and …

Connected and autonomous vehicles offer the possibility to carry out control strategies, thus
having great potential to improve traffic efficiency and road safety. The efficient passage of …

The development of autonomous vehicles (AVs) has rapidly evolved in recent years, aiming
to gradually replace humans in driving tasks. However, road traffic is a complex environment …

With the high frequency of highway accidents, studying how to use connected automated
vehicles (CAVs) to improve traffic efficiency and safety will become an important issue. In …

为进一步提高混合交通环境下车辆的行车效率与交通流的稳定性, 在考虑后视效应的基础上,
融合多辆前车速度与加速度等状态信息, 以指数平滑方式构建了网联自动驾驶车辆(CAV) …

The inherent uncertainty of surrounding drivers' intentions and spatiotemporal interactions
between vehicles pose a formidable challenge in precisely forecasting trajectories. To …

In this study, we propose a method for detecting traffic incidents by leveraging tensor
decomposition in conjunction with spatial-temporal constraints. The method comprises three …

Accurate knowledge of the penetration rate of connected and automated vehicles (CAVs) is
crucial for effective control applications during the transition from mixed traffic to full CAV …

Reinforcement learning (RL) can improve autonomous vehicles (AVs) by supporting
adaptive decision-making, but it faces challenges in providing reliable safety across diverse …

The platooning of connected automated vehicles (CAVs) is a promising cooperative driving
strategy, especially suited for freeway uninterrupted traffic. This paper presents a …