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针对城市交通系统特性,建立了反映交通流动态属性的赋时连续Petri网模型和交叉口信号控制的离散时延Petri网模型。设计专门的Petri网模型控制每个相位的红灯时间,一旦等待时间达到最长允许红灯时间,该相位信号灯强制转为绿灯,可避免相位红灯时间过长导致的驾驶员违规问题。为优化交叉口绿灯时间,根据单个因素的隶属度,通过模糊Petri网按照模糊规则综合确定当前相位绿灯延长时间。仿真结果表明,该方案对单一交叉口实现了较有效的控制。
Aiming at the characteristics of urban traffic system, a continuous-time Petri net model reflecting the dynamic properties of traffic flow and a discrete-time Petri net model of signal control at intersections are established. A special Petri net model is designed to control the red light time of each phase. Once the waiting time reaches the maximum allowable red light time, the phase light is forced to turn green to avoid the driver violation caused by too long red phase of the phase. In order to optimize the green light time of intersections, according to the degree of membership of single factor, fuzzy Petri net is used to determine the current phase green light extension time synthetically according to fuzzy rules. The simulation results show that this scheme can achieve more effective control of a single intersection.