基于模糊逻辑的交叉口交通流控制

为了减少交通智能控制的复杂度,两级模糊控制器被应用于交通流控制,该控制器容易获得控制规则并且能明显减少规则数目,因此适合复杂的交通路口控制。本文首先以达到最小车辆延误为目标,改进了两级模糊控制器的红信模块,随后使用遗传算法动态的更新控制器的隶属度函数,使得模糊控制器能够在动态的交通环境中获得更好的控制效果。通过对一个4相位的交叉路口仿真结果表明,该方法优于现存感应式控制方法,能有效地减少交叉口的车辆延误,达到令人满意的控制结果。

Application of fuzzy theory in traffic intersection control

Two-stage fuzzy logic controller is applied for traffic intersection control to decrease the complexity of traffic intelligent control,which is easy to acquire rules and can greatly decrease the number of fuzzy rule,is very suitable to complex traffic intersection control.With the performance criterion being the average delay of vehicle,the RedUrgeny module of the Two-stage fuzzy is improved.The GA(genetic algorithm)is used to modify its fuzzy membership to change it adaptively to an optimal setting in dramatically traffic situation as well.Simulation of an intersection with four phase signal control shows that this method is better than actuated control and effectively decrease the average delaying time of the intersection,the results are satisfactory.