Abstract: In case of popularity, many unique traffic problems are directly caused by the high density of Vehicles in particular, road traffic safety has been the main concern for the vehicle riders. Vehicle collision and traffic avoidance system that can identify red-light runners (RLRs) at intersections will be discussed. When the RLR behaviour is detected, the system would advise the RLR to slow down immediately and warn nearby vehicles on the intersecting road in real-time. In particular, not to consider the infrastructure-based solutions such as those utilizing radar or a camera. This is because, in addition to high implementation costs, collisions can be only avoided at intersections where such infrastructure configurations are deployed. Instead, an advance an on-vehicle solution using Smartphone carried by vehicle riders. Smartphone provide a useful platform that has a high penetration rate, more than sufficient computational power, inertial sensors to reflect the driving behaviour, and the communication capability to transmit and receive information from other vehicles. By using this behaviour we will easily avoid the traffic and collision between vehicles. To avoid the majority of injuries and deaths in traffic accidents, Red app can be used. Advantage of Red app low cost effective, feasible on regular priced vehicles are included.
Keywords: Red App, red-light-runner, vehicle, collision avoidance.
Title: Monitoring Driver Behaviour by Red Light Running For Preventing Traffic and Collision Caused by Vehicle
Author: K. Kasiyammal, S. Kayalvizhi
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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