标题:Study on minimum emission control strategy on arterial road based on improved simulated annealing genetic algorithm
作者:Song Ze-Rui; Zang Li-Lin; Zhu Wen-Xing
作者机构:[Song Ze-Rui; Zang Li-Lin; Zhu Wen-Xing] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
通讯作者:Zang, LiLin;Zang, LL;Zhu, WX
通讯作者地址:[Zang, LL; Zhu, WX]Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
来源:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
出版年:2020
卷:537
DOI:10.1016/j.physa.2019.122691
关键词:Microscopic traffic flow model; Vehicle emission model; Signal control;; Arterial road; Improved simulated annealing genetic algorithm
摘要:In this paper, an optimal signal control model was presented to minimize the traffic emissions on an arterial road. In order to solve the optimal model, an improved simulated annealing genetic algorithm (ISAGA) was utilized by integrating microscopic traffic flow model with vehicle emission model. For simplicity, three intersections on a signalized arterial road were taken into account. During the optimizing process, the traffic flow model and the emission model were embedded into ISAGA as a fitness calculating module. Through the experimental simulation, the results indicate that the optimal signal timing of the multi-intersection was realized by minimizing the emissions of vehicles on the arterial road. Moreover, it is found that the improved simulated annealing genetic algorithm is effective in solving the optimization model. (C) 2019 Published by Elsevier B.V.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072551408&doi=10.1016%2fj.physa.2019.122691&partnerID=40&md5=530256147d399ab6ef765df1c3092ab1
TOP