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

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.