Simulation of real-time vehicle speed violation detection using complex event processing

Accidents have become one of the usual occurrences on roads throughout the world. Thousands of people lose their lives or become disabled every day. Speed limits are enforced to control the movement of vehicles along traffic lanes. As per the research statistics, violation of speed limits by the drivers is one of the significant reasons for the road accidents. Detecting the drivers who violate speed limits and giving them punishments may help to control the rate of speed violation occurrences. But tracking the speed violations solely with human resources is an impossible task since the breach can happen at any parts of a large traffic region. Therefore, the requirement for a real-time monitoring system is inevitable to comprehensively identify the violators. In this study, we propose two real-time monitoring solution approaches capable of alerting the infringing vehicles using complex event processing and vehicular ad-hoc networking techniques. Since evaluating our solutions directly on real traffic environments requires significant structural alternations, we have followed the simulation procedure to experiment our solutions. For this research, we have selected Colombo and Gampaha districts from Sri Lanka as our study regions and validated our solutions using SUMO traffic simulator.