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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.
A fuzzy control model of signalized intersection was proposed. The traditional timing control and inductive control were compared. The simulation technology was used to compare the queue length, average residence time, traffic times, traffic time and vehicle passing rate of each lane The paper analyzes the inherent relationship between the change of traffic flow and the control method from the perspective of average delay, uniformity of traffic time and number of vehicles, and compares the traffic efficiency and fairness under the three control methods. The analysis provides a new idea for traffic control research. The macroscopic results show that traffic under fuzzy control is more efficient and fair.