基于S-粗集理论的交通控制器的设计与仿真

Design and Simulation of Traffic Controller Based on Rough Sets Theory

综合车辆密度和平均速度二者的信息,引入了阻塞参数,提出了一种基于S-粗集理论的变相位交通信号控制方法,利用粗集理论的知识推理,把粗糙集理论融入常规的模糊推理,减少了控制器的输入量,降低了控制器的设计难度,实现了城市交通的粗模糊控制.

By considering the information of car density and average velocity, the congestion parameter is introduced, and a kind of change phase traffic signal controller method based on rough sets theory is proposed, which integrates rough sets theory into routine fuzzy inference by use of the knowledge inference for rough set theory, thus the input value and the designing difficulty of controller is reduced, and the fuzzy controller for city traffic is achieved.