影响因子：3.9
DOI码：10.1080/15472450.2026.2742139
所属单位：Hefei University of Technology
发表刊物：Journal of Intelligent Transportation Systems
刊物所在地：USA
项目来源：国家自然科学基金
摘要：In intelligent transportation systems, connected and automated vehicles (CAVs) provide enhanced connectivity, observability, and controllability, creating new opportunities for coordinated intersection control. However, in mixed traffic environments consisting of CAVs and human-driven vehicles (HVs), the stochastic behaviors and uncertainties of HVs can undermine these potential benefits. To address this issue, this study proposes a dual-layer collaborative control method for jointly optimizing signal timing and mixed-vehicle platoons at intersections. In the upper layer, dynamic vehicle splitting and merging are employed to form CAV-led mixed platoons, while signal timing and the desired arrival times of the platoons are jointly optimized to improve traffic efficiency and computational efficiency. In the lower layer, CAV trajectories are optimized using an analytical optimal control solution that considers both energy consumption and driving comfort. A rolling optimization mechanism is further incorporated to enhance stability and real-time adaptability. Simulation results show that, compared with Actuated Signal Control and Optimization-based Traffic Signal Control, the proposed method significantly reduces average delay and fuel consumption under various traffic demands and CAV penetration rates. It also improves driving comfort and reduces computation time by approximately one order of magnitude. These findings demonstrate the potential of the proposed method for real-time intersection control in intelligent transportation systems.
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：15472450
期号：2026
页面范围：2742139
字数：8000
是否译文：否
发表时间：2026-10-06
收录刊物：SCI、EI
发布期刊链接：https://doi.org/10.1080/15472450.2026.2742139