【摘要】 提出一种信号交叉口模糊控制模型,并以传统的定时控制和感应式控制为比较对象,采用仿真技术,从各车道的排队长度、平均滞留时间、通行次数、通行时间和车辆通过率等微观角度分析了交通流的变化与控制方法的内在联系,从交叉口的平均延误、通行时间的均匀性和通过车辆数等宏观角度对比了三种控制方法下的交通效率和公平.微观过程的仿真剖析为交通控制研究提供了新思路,宏观结果则表明模糊控制下的交通更加高效与公平.更多还原

【Abstract】 A fuzzy control model for signalized intersection is proposed,and it is compared with fixed-cycle and vehicle-actuated control by using simulation technology.The internal relationship between the variation of traffic flow status and the control method is analyzed from multiple micro-viewpoints,such as a lane’s queue length,average waiting time,counts of the green light,green time and rate of the passed vehicles.Traffic efficiency and fairness of three control methods are compared from multiple macro-viewpoints,such as the intersection’s average delay,uniformity of the green time and number of the passed vehicles.The simulation analysis of micro process supplies a new idea for researching traffic control,and the macro result indicates that the traffic is more efficient and fair under the control of our model.更多还原