Web Services-based Grid Computing for Traffic Flow Predictive Control

The vehicles are navigated and assigned to the optimized routes according to the information of real-time and predicted traffic flow so that the optimization of traffic flow system and travelers' satisfaction degree can be both achieved. The architecture of traffic flow predictive control is presented in this paper including such two parts as traffic flow navigation predictive control or dynamic traffic assignment based on predictive control and traffic signal predictive control. The real-time processing approach of parallel genetic algorithm based on web services in IntraGrid is presented in which distributed-control and central-control parallel genetic algorithms are devised. The simulation results show that the traffic flow navigation predictive control can predict possible congestion and prevent its happening, and thus realize the win-win system-optimal and user-optimal optimization. The IntraGrid computing of parallel genetic algorithm based on web services can meet the requirements of real-time processing for traffic flow predictive control.