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作 者:牟亮 赵红[1] 崔翔宇 袁焕涛 李燕 仇俊政 MU Liang;ZHAO Hong;CUI Xiangyu;YUAN Huantao;LI Yan;QIU Junzheng(College of mechanical & electrical engineering, Qingdao University, Qingdao 266071, China)
出 处:《复杂系统与复杂性科学》2021年第1期80-87,共8页Complex Systems and Complexity Science
基 金:山东省重点研发计划(2018GGX105004);青岛市民生科技计划(19-6-1-88-nsh)。
摘 要:为提高交叉口的机动车通行效率及环境效益,采用改进罚参数来构造一种新的Lagrange乘子法对交叉路口的交通信号进行优化配时。通过权重系数建立车辆延误与尾气排放的数学模型,利用改进Lagrange乘子法进行优化,将其结果与两种典型智能算法的优化结果进行对比,并利用VISSIM(Verkehr in Stadten Simulation)微观交通可视化仿真软件进行验证。实验结果表明,该方法优化的信号配时使车辆延误降低19.89%,尾气排放量降低2.379%,可见大比例优化了交叉口的车辆延误,同时可以降低尾气排放量。In order to improve the traffic efficiency and environmental benefits of intersections,a new Lagrange multiplier method is proposed to optimize the traffic signal timing at intersections by improving penalty parameters.The mathematical model of vehicle delay and exhaust emission is established by weight coefficient,and optimized by improved Lagrange multiplier method.The results are compared with those of two typical intelligent algorithms,and verified by VISSIM(Verkehr in stadten simulation)microscopic traffic visualization simulation software.The experimental results show that the optimized signal timing can reduce vehicle delay by 19.89%and exhaust emissions by 2.379%.It can be seen that vehicle delay at intersections is greatly optimized and exhaust emissions can be reduced at the same time.
关 键 词:改进Lagrange乘子法 配时优化 车辆延误 尾气排放
分 类 号:U491.4[交通运输工程—交通运输规划与管理]
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