基于模糊理论的信号交叉口控制研究

介绍了一种信号交叉口的模糊交通控制方法和它的仿真结果．控制器从交通检测器获得信息，并根据专家知识库中的模糊控制规则优化信号配时，设计出适应交通变化的相位次序和相位长度．为了评价其实施效果，运用仿真技术，把设计控制方法和传统的交通控制方法进行比较．一个信号周期内车辆的排队长度被作为评价指标，结果显示，控制效果优于定时控制方法，并在交通量大时，还优于感应控制方法．

A Study on Traffic Control of Signalized Intersection Based on Fuzzy Logic

A fuzzy traffic control theory and its simulation results at intersection are presented. The controller gets information from its traffic detectors, and gives optimal signals based on the fuzzy rules. It manages phase sequences and phase lengths adaptively to traffic conditions. To evaluate its performance, the proposed method is compared with the conventional methods in of simulated situation. The queue of the vehicle in a cycle is used as a performance index. The study shows that this method is more effective than the fixed control method in the effect of control, and even is superior to the actuated control in the volume of traffic flow.