实时自适应交通信号控制CPN建模分析

Modeling and Analyzing of Real-time Adaptive Traffic Signal Control with CPN

以单路口交通控制为研究时象,指出了传统单路口控制策略中存在的一些缺陷,提出一种优化的交通信号控制策略:实时自适应控制。按照该策略,采用非固定相序控制方案,并提出了相应相位持续时间的具体算法。然后,建立了实时自适应策略的着色Petri网(CPN)模型,对CPN模型进行静态结构分析和动态仿真分析,检验并确认所提出的策略和算法的可行性;最后,通过建立交通信号控制的评价指标来对该策略进行评价。仿真结果表明,与固定相序、固定相位持续时间的策略相比,该实时自适应控制策略对单一十字路口实现了更为有效和优化的控制。

Taking a single intersection as a research object, firstly, a real-time adaptive traffic signal control strategy was presented, an unfixed sequence traffic signal phase control scheme and the duration of phase were discussed according to the control method, therefore, the control algorithm for the control strategy was educed. Secondly, a model based on this algorithm was created and analyzed by using the tool of Colored Petri Nets （CPN）, and the static and dynamic performance of the model were analyzed to verify the feasibility of the strategy and algorithm. Finally, evaluation of control strategy was performed with the established traffic signal control evaluation indexes. The consequence of the simulation shows the real time adaptive traffic signal strategy is more effective than the strategy of fixed sequence phase control with constant duration.