基于模糊理论的区域交通分区研究

Jie Cao, Ling Zhang
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引用次数: 0

摘要

针对城市交通网中区域交通网的分区域划分问题。本文运用模糊控制理论对该问题进行了求解,并对相邻交叉口协调系数进行了细化,该系数考虑了交叉口距离、信号周期、tra - c∞低、tra - c∞低影响因子和队列长度等五个因素,以表示相邻交叉口的关联程度。本文阐述了各无∞影响因子的无∞影响程度及其计算方法。最后选择tra - c网络进行仿真,以交叉口平均延迟时间为评价指标,采用自适应遗传算法对子区域进行控制,验证了该划分方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Sub-region Division of Regional Traffic by Fuzzy Theory
For the problem of sub-region division about regional tra‐c in urban tra‐c network. This paper uses fuzzy control theory to solve the problem, and deflnes adjacent intersections coordination coe‐cient to indicates the degree of association of adjacent intersections, the coe‐cient considers flve factors, they are the intersection distance, signal cycle, tra‐c ∞ow, tra‐c ∞ow impact factor and the queue length. The paper elaborated the in∞uence degree of each in∞uence factor and calculating method. In the end selects the tra‐c 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 efiectiveness of the division method.
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