Connected Vehicle-Based Traffic Signal Coordination

• 来源期刊: 工程（英文）
• 年，卷（期）: 2020,（12）
• 所属期刊栏目: Smart City-Article
• 页码范围: 1463-1472
• 页数: 10页
• 语种: 英文

摘要

This study presents a connected vehicles(CVs)-based traffic signal optimization framework for a coordi-nated arterial corridor.The signal optimization and coordination problem are first formulated in a cen-tralized scheme as a mixed-integer nonlinear program(M1NLP).The optimal phase durations and offsets are solved together by minimizing fuel consumption and travel time considering an individual vehicle's trajectories.Due to the complexity of the model,we decompose the problem into two levels:an intersection level to optimize phase durations using dynamic programming(DP),and a corridor level to optimize the offsets of all intersections.In order to solve the two-level model,a prediction-based solu-tion technique is developed.The proposed models are tested using traffic simulation under various sce-narios.Compared with the traditional actuated signal timing and coordination plan,the signal timing plans generated by solving the M1NLP and the two-level model can reasonably improve the signal control performance.When considering varies vehicle types under high demand levels,the proposed two-level model reduced the total system cost by 3.8％comparing to baseline actuated plan.MINLP reduced the system cost by 5.9％.It also suggested that coordination scheme was beneficial to corridors with relatively high demand levels.For intersections with major and minor street,coordination conducted for major street had little impacts on the vehicles at the minor street.