软件部署
交叉口(航空)
运输工程
浮动车数据
计算机科学
自动化
交通优化
交通瓶颈
交通生成模型
控制(管理)
交通拥挤
交通冲突
计算机网络
工程类
人工智能
操作系统
机械工程
作者
Jinjue Li,Chunhui Yu,Zhirong Shen,Zicheng Su,Wanjing Ma
标识
DOI:10.1016/j.trc.2023.104258
摘要
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve traffic safety. With the development of communication and automation technologies, regular vehicles (RVs), connected vehicles (CVs), and connected and automated vehicles (CAVs) will coexist on urban roads in the near future. In this paper, we systematically review the studies on urban traffic control under the mixed traffic environment, which utilize CVs and CAVs to improve the performance of urban traffic control. We first give a glance at the evolution of urban traffic control with the deployment of CVs and CAVs to identify the important and promising research fields in the mixed traffic control. We then review the recent advances in traffic signal timing with CAV/CV trajectory data, CAV trajectory/route planning, and the cooperative control of CAV trajectories and traffic signals from the intersection level to the network level under the mixed traffic environment. Besides, we summarize two types of studies on mixed traffic control at intersections with CAV-dedicated facilities: 1) traffic signal timing and vehicle trajectory planning at intersections with CAV-dedicated lanes, and 2) deployment of CAV-dedicated facilities including CAV-dedicated lanes, links, and zones. Finally, the future research directions and challenges are discussed. We hope that this review could provide researchers with a helpful roadmap for future research on urban traffic control under the mixed traffic environment.
科研通智能强力驱动
Strongly Powered by AbleSci AI