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Research on Sub-region Division of Regional Traffic by Fuzzy Theory

机译:基于模糊理论的区域交通分区域划分研究

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摘要

For the problem of sub-region division about regional traffic in urban traffic network. This paper uses fuzzy control theory to solve the problem, and defines adjacent intersections coordination coefficient to indicates the degree of association of adjacent intersections, the coefficient considers five factors, they are the intersection distance, signal cycle, traffic flow, traffic flow impact factor and the queue length. The paper elaborated the influence degree of each influence factor and calculating method. In the end selects the traffic network to simulation, and makes intersection average delay time as evaluation index, then uses the adaptive genetic algorithm sub-region agent to control the sub-region, to demonstrate the effectiveness of the division method.
机译:针对城市交通网络中区域交通的分区问题。本文采用模糊控制理论解决了该问题,并定义了相邻路口的协调系数来指示相邻路口的关联度,该系数考虑了五个因素,分别是路口距离,信号周期,交通流量,交通流量影响因子和队列长度。阐述了各影响因素的影响程度和计算方法。最后选择交通网络进行仿真,并以路口平均延误时间为评价指标,然后采用自适应遗传算法的子区域Agent对子区域进行控制,证明了分割方法的有效性。

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