交叉口交通信号灯的模糊控制及优化研究

doi:10.16182/j.issn1004731x.joss.20-FZ0498

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (12): 2401-2408.doi: 10.16182/j.issn1004731x.joss.20-FZ0498

交叉口交通信号灯的模糊控制及优化研究

刘佳佳¹, 左兴权²

1.北京邮电大学,北京 100876;
2.可信分布式计算与服务教育部重点实验室,北京 100876

收稿日期:2020-04-30 修回日期:2020-07-17 出版日期:2020-12-18 发布日期:2020-12-16
作者简介:刘佳佳(1995-),女,宁夏吴忠,硕士生,研究方向为智能决策;左兴权(1971-),男,黑龙江铁力,博士,教授,研究方向为智能优化与决策、数据挖掘、人工智能、智能交通。
基金资助:
国家自然科学基金(61873040)

Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection

Liu Jiajia¹, Zuo Xingquan²

1. Beijing University of Posts and Telecommunications,Beijing 100876,China;
2. Key Laboratory of Trusted Distributed Computing and Services of Ministry of Education,Beijing 100876,China

Received:2020-04-30 Revised:2020-07-17 Online:2020-12-18 Published:2020-12-16

摘要/Abstract

摘要： 针对城市单交叉口的交通信号控制问题,提出一种交通灯信号的模糊控制方法。该方法基于四相位定相序对单交叉口交通灯进行控制,模糊控制系统输入为车辆排队数和车辆到达率,输出为当前绿灯相位的绿灯延长时间。利用遗传算法(Genetic Algorithm,GA)优化模糊控制系统的模糊规则和隶属度函数,提升模糊控制系统性能。利用Sumo(Simulation of Urban Mobility)仿真软件,实现了该模糊控制方法。将Sumo自带的控制方法、模糊控制方法、以及基于GA的模糊控制方法进行仿真对比。结果表明,基于GA的模糊控制方法能有效减少车辆的平均延误时间,提高了交叉口的通行能力。

关键词: 交通信号控制, 模糊控制, 遗传算法, Sumo仿真

Abstract: Aiming at the traffic signal control at urban single intersection,a fuzzy control method for traffic lights is presented.The method is based on a four-phase phasing sequence to control the traffic lights at a single intersection.Inputs of the fuzzy controller are the number of vehicles in line and the arrival rate of vehicles,and the output is the green light extension time of the current green light phase.A genetic algorithm (GA) is used to optimize fuzzy rules and membership functions of the fuzzy control system to improve the performance of the fuzzy controller.The fuzzy control method is realized by using Sumo (Simulation of Urban Mobility) simulation software.The Sumo's own control method,the fuzzy control method,and GA based fuzzy control method are simulated and compared.The results show that the GA based fuzzy control method can effectively reduce the average delay time of vehicles and improve the traffic capacity of the intersection.

Key words: traffic signals control, fuzzy control, genetic algorithm, Sumo simulation

中图分类号:

TP391.9

刘佳佳, 左兴权. 交叉口交通信号灯的模糊控制及优化研究[J]. 系统仿真学报, 2020, 32(12): 2401-2408.

Liu Jiajia, Zuo Xingquan. Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection[J]. Journal of System Simulation, 2020, 32(12): 2401-2408.

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交叉口交通信号灯的模糊控制及优化研究

Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection

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