期刊名称：Journal of Management Science and Engineering
印刷版ISSN：2096-2320
出版年度：2020
卷号：5
期号：4
页码：303-317
DOI：10.1016/j.jmse.2020.09.004
语种：English
出版社：Elsevier
摘要：AbstractUrban fine management needs scientific traffic management methods and efficient signal control programs. Green wave control is usually used to facilitate the unban traffic. However, maximum bandwidth optimization on arterial traffic signal timing is usually yielded from the sacrifice of the branch road. The green wave on branch roads and pedestrian crossing time at intersections are often neglected. In this paper, an extended integrated green wave control method is presented to solve the coordinated control issue, which considers green time constraints to ensure necessary time for vehicles on branch roads and pedestrian crossing time at intersections. Non-coordinated phase saturation is first introduced to describe the green time on branch roads. Next, the arterial roads are partitioned to enlarge the green wave bandwidth and an extended green wave optimization model with green time constraints is proposed. Combined with the green wave searching method, an improved genetic algorithm is applied. Finally, a real-world case study in Shenzhen, China, is employed to assess the model. Results show the proposed model can (1) reach the same public green time as in the traditional method and (2) increase the average sub-green wave bandwidth to improve the signal control.
