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基于模糊控制理论的交通控制系统的设计
Design of traffic control system based on fuzzy control theory
【摘要】 本文介绍了一种基于模糊控制理论的交通控制系统。针对当前城市交通系统中的被控对象具有较大的随机性和偶然性,本文把不需要建立精确数学模型的模糊控制引入到城市交通控制系统,对十字路口的交通情况进行研究.采用了两级模糊控制:根据车流量由相位优化控制器进行相位优化以及由绿灯延时控制器分配绿灯延时的控制方案,且每隔一定周期重新确定绿灯延时,方案在MATLAB环境下由程序实现。较好地解决了交通流量不均衡、不稳定所带来的车辆延误等问题,提高了道路的通行能力。
【Abstract】 This paper introduces a traffic control system based on the fuzzy control theory. This paper brings the fuzzy control theory which needn’t build strict mathematic model to cities’ traffic control system, aiming to the random and the contingency of the object controlled in the current cities’ traffic control system. Studying the traffic of the crossroad, the design adopts two fuzzy controllers: phase optimization controller optimizing the phases according to the traffic and green light delay controller allocating the prolonged green time and calculat ing the prolonged green time again after a period of time. The design is realized by the MATLAB programs and settles the delay of the vehicles better and improves the traffic ability of the way.
【Key words】 fuzzy control theory; traffic control system of the crossroad; phase optimization;
- 【文献出处】 仪器仪表用户 ,Electronic Instrumentation Customer , 编辑部邮箱 ,2006年05期
- 【分类号】TP273.4;U491
- 【被引频次】1
- 【下载频次】255