基于混沌的高速公路主线速度模糊控制仿真  

Simulation on Variable Speed Limits of Freeway Mainline Based on Fuzzy Chaos Control

作　　者：庞明宝[1] 任沙沙 张晶晶[1] 

机构地区：[1]河北工业大学土木工程学院,天津300401 [2]河北省邢台市交通运输局,邢台054000

出　　处：《系统仿真学报》2014年第4期727-732,共6页Journal of System Simulation

基　　金：国家自然科学基金(50478088);河北省自然科学基金(E20 11202073)

摘　　要：研究高速公路主线可变速度限制混沌模糊控制方法。建立高速公路主线可变速度限制区段为研究对象的对称双车道元胞自动机仿真模型,提出相空间压缩和传统主线控制相结合的高速公路混沌控制方法,设计了依据是否混沌作为加入和取消控制信号的Bang-Bang条件,以交通需求、密度和最大李亚普诺夫指数作为输入,主线速度上限值作为输出的高速公路主线可变速度Mamdami型模糊混沌控制器,采用遗传算法优化学习控制器各参数,仿真实验分析了该智能混沌控制方法在保证交通安全的前提下实现交通流有序运动,抑制交通拥堵、提高道路实际通行能力的物理效果,证明了该思想方法的可行性与有效性。The problem of fuzzy chaos control on a freeway mainline was studied by using variable speed limits. A symmetric two-lane cellular automaton model of variable speed limits section for freeway was established and simulated. A method was proposed to control the chaos of freeway by using the theory of phase space compress and the mainline control method. The fuzzy chaos controller was designed, where the chaos state of the system was used to be the Bang-Bang condition of inputting and canceling control signal, whereas traffic demand, traffic density and maximal Lyapunov exponent are the input variables and the mainline speed limits is the output variables of the controller. The parameters of the Mamdami fuzzy controller were optimized by using genetic algorithm. The physics effects were discussed via the simulation experiment, which include realizing the order motion of traffic flow, suppressing traffic jam phenomena and enhancing traffic volume on the premise of traffic safety by using the intelligent chaos controller. The feasibility and validity of the method were demonstrated.

关 键 词：高速公路 主线可变限速限制 混沌控制 元胞自动机模型 相空间压缩 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置] U491.5[自动化与计算机技术—控制科学与工程]