基于集对分析的干道绿波协调控制方案评价方法  

Evaluation method of arterial green wave coordinated control scheme based on set pair analysis

作　　者：卢凯[1,2] 荆彬彬 吴焕[1] 杨兴[1] 徐建闽[1,2] 

机构地区：[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

出　　处：《东南大学学报（自然科学版）》2015年第3期606-611,共6页Journal of Southeast University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61203164);广东省自然科学基金资助项目(S2012040007998);广东省交通运输厅科技资助项目(2013-02-055);广州市珠江科技新星专项资助项目(2013J2200066)

摘　　要：针对车辆实际行驶速度的区间变化特点,以双向绿波带宽最大为目的,利用集对分析方法,对不同信号协调控制方案在车速不确定情况下的控制效果进行分析评价.通过采集干道车辆行驶速度样本,生成干道绿波协调控制备选方案集合,计算行驶速度与绿波带宽度之间的联系度,选取联系度数值最大的备选方案作为最佳干道绿波协调控制方案,实现了车速不确定情况下的绿波协调控制方案评价及优化.实际案例分析表明,所提方法可以直接利用行驶速度的实际采集样本,从备选方案集合中对比选出一套最佳绿波协调控制方案,最大限度地满足一定行驶速度区间内的车队绿波协调控制需求,尽量使行驶速度区间内的车队车辆均处于干道绿波带宽之内.Considering the changes of the vehicle actual running speed in the velocity band,the control effects of different traffic signal coordinated control schemes under the uncertainty of the actual speed were analyzed by using the set pair analysis method with the purpose of maximum bidirectional green wave bandwidths. The multiple alternative schemes of arterial green wave coordinated control were generated firstly by collecting vehicle running speed samples on arterial road. After the computation of the connection degree between the running speed and the green wave bandwidth,the alternative scheme which has the maximum connection degree was selected as the optimal green wave coordinated control scheme. Then,the green wave coordinated control schemes can be evaluated and optimized in consideration of the uncertainty of the actual speed. The results of the actual example showthat this proposed method can make use of collected samples of the running speed directly and select an optimal green wave coordinated control scheme from the multiple alternative schemes set.The green wave control demand of the platoon can be satisfied mostly in the velocity band. It also makes as many vehicles in a platoon get into the green wave band as possible.

关 键 词：交通控制 绿波协调 集对分析 速度区间 联系度 方案评价 

分 类 号：U491.54[交通运输工程—交通运输规划与管理]