Transit Signal Priority Based on Optional Phase Optimization Framework in Connected Vehicle Environment

被引：0
|
作者：
Yin J. [1 ]
Li T. [2 ]
Sun J. [1 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Shanghai Bureau of Public Security Traffic Police Corps, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2023年 / 51卷 / 03期
关键词：
connected vehicle; mixed integer linear programming; phase sequence optimization; real-time signal control; traffic engineering; transit signal priority (TSP);
D O I：
10.11908/j.issn.0253-374x.22021
中图分类号：
学科分类号：
摘要：
An optional phase optimization framework for transit signal priority（TSP）was proposed and a real-time TSP algorithm was developed. Dual-ring phase structure was improved by adding optional transit phases for multiple phase settings to integrate phase repetition，reverse and insertion and other functions. Hence，the green times，cycle length and phase sequence can be optimized simultaneously. A mixed integer linear programming signal control optimization model was built，using the deviation of background signal timings as vehicle loss function，which was linearly designed and computationally cost-effective. Results of a case study show that compared with the active TSP algorithm，the proposed algorithm reduces transit delay and stops by 33.1% and 15.1% respectively，and vehicle delay and stops by 17.7% and 12.6% respectively. © 2023 Science Press. All rights reserved.
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页码：395 / 404
页数：9
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