基于粒子群算法的多效益交叉口信号配时模型
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摘要
城市交通的延误主要发生于交叉口,提高交叉口信号的运行效率对缓解交通拥堵具有重要作用。本文建立了基于车辆平均延误、停车次数和通行能力的多效益信号配时优化模型,并使用了粒子群算法进行编程求解。实际案例分析结果表明,模型求解出的优化配时方案降低了交叉口车均延误和停车次数,同时提高了交叉口的通行能力,综合改善了交叉口的多个指标,对提高交叉口的运行效率具有显著作用。
Urban traffic delay usually occurs at intersections,so the improvement of operational efficiency of a signalized intersection is very important for alleviation of traffic congestion. We establish a multi-benefit signal timing optimization model based on average vehicle delay,vehicle stopping times and traffic capacity of the intersection,and employ particle swarm optimization( PSO) algorithm to solve it. Analysis of actual cases demonstrates that the model reduces average vehicle delay and stopping times of an intersection,increases traffic capacity of an intersection,and comprehensively improves multiple indicators of an intersection. It therefore has significant effect on the improvement of operational efficiency of an intersection.
Urban traffic delay usually occurs at intersections,so the improvement of operational efficiency of a signalized intersection is very important for alleviation of traffic congestion. We establish a multi-benefit signal timing optimization model based on average vehicle delay,vehicle stopping times and traffic capacity of the intersection,and employ particle swarm optimization( PSO) algorithm to solve it. Analysis of actual cases demonstrates that the model reduces average vehicle delay and stopping times of an intersection,increases traffic capacity of an intersection,and comprehensively improves multiple indicators of an intersection. It therefore has significant effect on the improvement of operational efficiency of an intersection.
引文
[1]蔡锦德.城市道路交叉口的信号配时优化研究[D].北京:北京交通大学,2012.
[2]WEBSTER F V,Cobbe B M.Traffic signals[M].Vermont South,AU:ARRB Group Limited,1966.
[3]AKCELIK R.Traffic Signals:Capacity and Timing Analysis.Research Report[EB/OL].[2016-03-05].https://www.researchgate.net/publication/261363188_Traffic_Signals_Capacity_and_Timing_Analysis_Research_Report.
[4]彭飞.城市道路平面交叉口信号配时优化与仿真研究[D].北京交通大学,2012.
[5]NAKATSUJI T,KAKU T.Development of a self-organizing traffic control system using neural network models[EB/OL][2016-03-12].http:online pubs.trb.org/onlinepubs/trr/1991/1324/1324-016.pdf.
[6]杨锦冬,杨东援.城市信号控制交叉口信号周期时长优化模型[J].同济大学学报(自然科学版),2001,29(7):789-794.
[7]王殿海,别一鸣,宋现敏,等.信号交叉口最大周期时长优化方法[J].吉林大学学报(工学版),2010,40(增刊):148-151.
[8]C-TEP.Highway Capacity Manual 2010(HCM2010)[EB/OL].[2016-03-02].http://www.c-tep.com/pdf/C-TEP%20Hwy.%20Capacity%20Manual%202010%20Course%20%20Registration%20.pdf.
[9]王秋平,谭学龙,张生瑞.城市单点交叉口信号配时优化[J].交通运输工程学报,2006,6(2):60-64.
[10]谢丽珠.考虑车辆尾气排放因素的公交信号优先控制策略及微观仿真研究[D].北京:北京交通大学,2015.
[11]王波.城市道路交叉口交通组织与信号控制策略研究[D].长春:吉林大学,2005.
[12]邓乃扬,马国瑜.惩罚函数法[J].运筹学学报,1983,2(2):65-69
[2]WEBSTER F V,Cobbe B M.Traffic signals[M].Vermont South,AU:ARRB Group Limited,1966.
[3]AKCELIK R.Traffic Signals:Capacity and Timing Analysis.Research Report[EB/OL].[2016-03-05].https://www.researchgate.net/publication/261363188_Traffic_Signals_Capacity_and_Timing_Analysis_Research_Report.
[4]彭飞.城市道路平面交叉口信号配时优化与仿真研究[D].北京交通大学,2012.
[5]NAKATSUJI T,KAKU T.Development of a self-organizing traffic control system using neural network models[EB/OL][2016-03-12].http:online pubs.trb.org/onlinepubs/trr/1991/1324/1324-016.pdf.
[6]杨锦冬,杨东援.城市信号控制交叉口信号周期时长优化模型[J].同济大学学报(自然科学版),2001,29(7):789-794.
[7]王殿海,别一鸣,宋现敏,等.信号交叉口最大周期时长优化方法[J].吉林大学学报(工学版),2010,40(增刊):148-151.
[8]C-TEP.Highway Capacity Manual 2010(HCM2010)[EB/OL].[2016-03-02].http://www.c-tep.com/pdf/C-TEP%20Hwy.%20Capacity%20Manual%202010%20Course%20%20Registration%20.pdf.
[9]王秋平,谭学龙,张生瑞.城市单点交叉口信号配时优化[J].交通运输工程学报,2006,6(2):60-64.
[10]谢丽珠.考虑车辆尾气排放因素的公交信号优先控制策略及微观仿真研究[D].北京:北京交通大学,2015.
[11]王波.城市道路交叉口交通组织与信号控制策略研究[D].长春:吉林大学,2005.
[12]邓乃扬,马国瑜.惩罚函数法[J].运筹学学报,1983,2(2):65-69