Traffic Monitoring and Event Analysis at Intersection Based on Integrated Multi-video and Petri Net Process

Abstract

Decreasing traffic accidents and events are one of the most significant responsibilities for most of the government in the world. Nevertheless, it is hard to precisely predict the traffic condition. To comprehend the root cause of traffic accidents and restore the occurrence of traffic events, a traffic monitor and event analysis mechanism based on multi-videos processing and Petri net analysis techniques is proposed. In which, the traffic information are collected through the deployment of cameras at intersection of heavy traffic areas. After then, all of the collected information is provided for constructing multi-viewpoint traffic model. The significant features are extracted for traffic analyzing through Petri Net and detection of motion vector. Finally, decision will be output after integrated traffic information and event analysis. Experimental results demonstrate the feasibility and validity of our proposed mechanism. It can be applied as a traffic management system.