基于二类模糊逻辑的单交叉口信号控制

2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2013-04-16 DOI:10.1109/CIVTS.2013.6612285

Yunrui Bi, D. Srinivasan, Xiaobo Lu, Zhe Sun

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引用次数: 4

摘要

单个交叉口通常被认为是解决交通问题的基本单元。由于2型模糊逻辑能更有效地处理动态过程中的不精确性、不确定性和模糊性，本文提出了一种用于单交叉口信号控制的2型模糊控制器。在此基础上，采用遗传算法优化了2型模糊控制器的隶属函数参数。设计仿真实验，比较了遗传算法优化的2型模糊控制与一般2型模糊控制、1型模糊控制和固定时间控制在不同类型车辆到达率下的排队长度和车辆平均延误。实验结果表明，该控制方法可以有效地减少交叉口的排队长度和车辆延误，证明了该控制方法的优越性。

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Single intersection signal control based on Type-2 fuzzy logic

Single intersection is generally regarded as the elementary unit for solving traffic problem. A Type-2 fuzzy logic controller (T2FLC) for single intersection signal control is presented in this paper as Type-2 fuzzy logic can handle the imprecision, uncertainties and vagueness lying in the dynamic process more efficiently. Furthermore, the membership function parameters of Type-2 fuzzy logic controller are optimized by genetic algorithm (GA). Simulation experiments are designed to compare the queue length and vehicular average delay of Type-2 fuzzy control optimized by GA with general Type-2 fuzzy control, Type-1 fuzzy control and fixed-time control under various types of vehicle arrival rate. Experimental results indicate that our proposed control method can reduce the queue length and vehicular delay at the intersection effectively and thus demonstrates its superiority.

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2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)

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