The vehicle-to-everything (V2X) technology has made a significant advancement in the field
of intelligent transportation in recent years. When operating a vehicle in a V2X environment …

Calibrating microscopic car-following (CF) models is crucial in traffic flow theory as it allows
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …

With the development of autonomous driving and vehicle-to-infrastructure technologies,
connected automated vehicles (CAVs) will gradually replace human-driven vehicles (HDVs) …

In this study, based on the comprehensive analysis of asymptotic stability and damping
characteristics for the Intelligent Driver Model (IDM) car-following strategy, we propose a self …

基于开源微观交通仿真软件SUMO 构建车路协同环境下的车辆驾驶行为模型, 包括驾驶控制,
驾驶建议与智慧导航3 个模块及6 个典型车路协同场景. 结合车辆仿真软件CARLA …

Automated Vehicles (AVs) promise significant advances in transportation. Critical to these
improvements is understanding AVs' longitudinal behavior, relying heavily on real-world …

This paper addresses the global optimal signal plan of a fixed time control for an isolated
signalized intersection with central pedestrian refuges considering both vehicle delays and …

Intelligent transportation systems need to realize accurate traffic congestion prediction. The
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …

Dynamic systems modeling (DSM) provides an opportunity to systematically investigate
traffic system dynamics at the network scale. However, simulation-based DSM approaches …

This study presents a data-driven framework for modeling complex systems, with a specific
emphasis on traffic modeling. Traditional methods in traffic modeling often rely on …