基于动态模糊控制和模糊决策的交通分配方法  

Traffic assignment method based on dynamic fuzzy control and fuzzy decision making

作　　者：张邻[1,2] 杜文[1] 宋俊骥[3] 向红艳[1] 

机构地区：[1]西南交通大学交通运输学院,四川成都610031 [2]南昌航空大学数学与信息科学学院,江西南昌330013 [3]江西外语外贸职业学院科技处,江西南昌330013

出　　处：《交通运输工程学报》2010年第3期110-117,共8页Journal of Traffic and Transportation Engineering

基　　金：江西省教育厅科学技术研究项目(GJJ10668)

摘　　要：为提高整个路网的运行效率,建立了一个非线性规划模型,进一步得出相应的非线性模糊规划模型,根据相邻交叉口交通流大小和方向的不同,通过动态模糊控制手段,采用弹性信号周期和最大隶属度原则,合理地动态分配交叉口信号相位。驾驶人通过对路径察觉,获得最小察觉阻抗路径,并与智能交通系统提供的各路径阻抗进行对比,选择最大满意度的路径。分析结果表明:动态模糊控制和模糊决策法与最短路径法的交通流分配结果基本一致,模糊最优控制使得信号交叉口的控制效用提高50%以上,且动态模糊控制和模糊决策法更能反映人的行为,是一种有效的交通控制方法。In order to improve the operational efficiency of whole traffic network,a nonlinear programming model was established,and the corresponding nonlinear fuzzy programming model was further obtained by using dynamic fuzzy control methods.According to the magnitudes and directions of adjacent intersection traffic flows,intersection signal dynamic phases were reasonably allocated by using different elastic signal periods and maximum membership degree principle.Based on the observation path of driver,the minimum detection impedance path was obtained,the impedance was compared with the path impedances of intelligent transportation system,and the greatest satisfaction path was chosen.Analysis result indicates that the traffic assignment based on dynamic fuzzy control and fuzzy decision making method is consistent with the shortest path method,and the control effectiveness of signal intersection increases by 50% or more based on fuzzy optimal control,dynamic fuzzy control and fuzzy decision making method can accurately reflect human behavior,and is an effective measurement for signal intersection control.5 tabs,3 figs,11 refs.

关 键 词：交通分配 动态模糊控制 模糊决策 最大满意度 交通阻抗 

分 类 号：U491.123[交通运输工程—交通运输规划与管理]