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考虑行驶速度波动的进口单放绿波协调控制模型
引用本文:荆彬彬,鄢小文,吴焕,徐建闽.考虑行驶速度波动的进口单放绿波协调控制模型[J].交通运输系统工程与信息,2017,17(3):83-90.
作者姓名:荆彬彬  鄢小文  吴焕  徐建闽
作者单位:1. 华南理工大学土木与交通学院,广州510640;2. 东南大学现代城市交通技术江苏高校协同创新中心,南京210096
基金项目:国家自然科学基金/ National Natural Science Foundation of China(61203164, 61174184);广东省科技计划项目/ Science and Technology Planning Project of Guangdong Province(2016A030305001, 2015A030401024);广州市南沙区科技计划项目/ Science and Technology Planning Project of Nansha District(2014MS11);中央高校基本科研业务费专项资金/ Fundamental Research Funds for Central Universities(2015ZZ07).
摘    要:考虑车队实际行驶速度在一定范围随机波动的特性,分析了满足车队队首车辆高速与队尾车辆低速行驶时均不受阻的约束条件,给出了相应的速度波动百分比计算公式,并以双向绿波带宽之和最大为一级目标,以速度波动百分比之和最大为二级目标,建立了一种绿波协调控制目标规划模型,并设计了序贯式算法及遗传算法求解该模型.算例分析结果表明,本文提出的模型能够较好地考虑行驶速度波动的特性,能够直接生成适于行驶速度波动的协调控制方案,能够使更多的车辆处在绿波带宽之内.

关 键 词:城市交通  行驶速度波动  MAXBAND模型  序贯式算法  遗传算法  
收稿时间:2016-11-07

Arterial Green Wave Coordination Control Model for the Mode of Split Phasing Considering the Fluctuation of Travel Speed
JING Bin-bin,YAN Xiao-wen,WU Huan,XU Jian-min.Arterial Green Wave Coordination Control Model for the Mode of Split Phasing Considering the Fluctuation of Travel Speed[J].Transportation Systems Engineering and Information,2017,17(3):83-90.
Authors:JING Bin-bin  YAN Xiao-wen  WU Huan  XU Jian-min
Institution:1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China; 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 210096, China
Abstract:Considering that the travel speed of platoons fluctuates in a range, the non-stop constraints that the lead vehicle of platoon travels at a higher speed and the trail vehicle of platoon travels at a lower speed are analyzed. The formulas of calculating fluctuation percentage of speed are proposed. An arterial coordination control model- a goal programming model, which firstly aims at maximizing the sum of the bidirectional green band and secondly maximizing the sum of the fluctuation percentage of speed, is developed. A sequential algorithm and genetic algorithm are designed to solve the proposed model. The analysis for the numerical example shows that the proposed model in this paper can consider the fluctuation of travel speed well, generate the coordinated control scheme suitable for the fluctuation of travel speed directly, and make more vehicles lie within green bands.
Keywords:urban traffic  fluctuation of travel speed  MAXBAND model  sequential algorithm  genetic algorithm  
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