Abstract:

Focus on the real-time scheduling problem of a single-point full-sensitive control traffic lights signal system, we construct a dynamic timed control model of traffic lights by using the hierarchical colored Petri net (HCPN). First of all, traffic flow data are classified based on the fuzzy control theory. Secondly, utilizing the collected traffic information as the control parameters, we establish a basic traffic signal outline model based on the hierarchical color Petri net theory, and then stratified model refinement and stepwise refinement are made in accordance with the key features. In addition, a counter instead of time delay is added to the system model. The switching relationship between traffic light cycle time and traffic flows is reflected in a simple and direct way. Performance indicators are evaluated and compared through this method. Finally, the system model is implemented and validated using the CPN Tools and a simple performance optimization analysis is made.

Key words: real-time scheduling, fuzzy control, HCPN, CPN Tools, single-point full-sensitive signal control