Traffic Violation Detection Model Using Soft Computing Tools

Tier 2 cities in India consist of huge amount of traffic problems due heterogeneous and mixed traffic that causing congestion on roads. In such environment accidental situations achieves at greater height, where drivers physical and social behavior plays the major role leading to accidents. Observational study shows that the social factors which are highly responsible for accidents are jumping of traffic signal & use of mobile phone while driving. If such situations occur in context environment, chances of accidents increase. So, there is need to develop a system for monitoring such situation. This paper focuses on the development of behavioral detection model by matching approach. The same model has been developed using Particle swarm optimization (PSO). The module has been tested on different video clip taken for the traffic of Nagpur city to detect traffic violation. The finding of the paper is, there is increase in the accuracy of the detection of traffic violation.