Modeling, design and analysis of intelligent traffic control system based on integrated statistical image processing techniques

Traffic congestion is a growing problem in urban areas nowadays. In this paper, a system is developed to control and monitor the congestion of traffic. The main motivation is to detect the presence and absence of vehicles on the road using statistical approach integrated with conventional image processing techniques. For this purpose, we have develop a “Probability Based Vehicle Detection (PBVD)” algorithm based Vehicle Detection System (VDS) integrated with post - processing subsystems to form a complete traffic control system. The system has the capability to obtain vehicle statistics during controlling traffic. Simulations are performed by developing complete prototype traffic architecture. Comparison is done using the result acquired from prototype system and processing a real time video of traffic scene. Simulation results show the effectiveness of the proposed scheme.