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首页> 外文期刊>International Journal of Innovative Computing Information and Control >MULTI-PHASE FUZZY CONTROL OF SINGLE INTERSECTION IN TRAFFIC SYSTEM BASED ON GENETIC ALGORITHM
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MULTI-PHASE FUZZY CONTROL OF SINGLE INTERSECTION IN TRAFFIC SYSTEM BASED ON GENETIC ALGORITHM

机译:基于遗传算法的交通系统单相交路多相模糊控制

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摘要

Single intersection in the traffic system is a complex system which has the nonlinear and uncertain characteristics. If the traffic states in the single intersection become more complex, the traditional timing control of the traffic lights is not suitable for the traffic control. A multi-phase fuzzy controller of the single intersection is proposed in this paper, by using the integration of the multi-phase control, and incorporating genetic algorithm into fuzzy control design to optimize fuzzy membership functions. The proposed control method is suitable for the different traffic states in the different times, and can achieve satisfactory control performance. The simulation experiment is implemented to prove the effectiveness of the proposed multi-phase fuzzy controller.
机译:交通系统中的单个路口是具有非线性和不确定性特征的复杂系统。如果单个交叉路口的交通状态变得更加复杂,则传统的交通信号灯定时控制方法将不适用于交通控制。本文提出了一种单相交路口的多相模糊控制器,该方法通过集成多相控制,并将遗传算法结合到模糊控制设计中来优化模糊隶属度函数。所提出的控制方法适用于在不同时间的不同交通状态,并且可以实现令人满意的控制性能。通过仿真实验证明了所提出的多相模糊控制器的有效性。

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