DESIGNING THE FRAMEWORK FOR INTEGRATION OF WIRELESS SENSORS NETWORK AND OBJECT DETECTION SYSTEM TO MONITOR CARELESS DRIVING: THE CASE OF CROSS RIVER STATE

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DESIGNING THE FRAMEWORK FOR INTEGRATION OF WIRELESS SENSORS NETWORK AND OBJECT DETECTION SYSTEM TO MONITOR CARELESS DRIVING: THE CASE OF CROSS RIVER STATE

Road traffic accidents are a global problem affecting all sectors of society. An accident is an error that occurs in the driver-vehicle-roadway system. According to the literature reviewed different things in the driver-vehicle-roadway system contribute to traffic accidents among which Careless driving is a very common reason, especially in developing countries like Nigeria. As a result of car accidents, the death of human and property loss has been part of our news menu every day. Every morning we see dead animals (beginning from small birds to bigger Mammals like hyenas and others) on the street. Previous research works on Wireless Sensor Networks proposed different solutions to reduce accidents with the mechanism of prevention, warning, and reporting, but they are not enough to bring a strong solution. As the survey made shows the cases of most car accidents are a result of violating traffic rules such as over-speeding, abrupt lane change, and traffic light violations. This research demonstrates that the traffic management system has been using very old systems which has very limited capacity. In this proposed work, monitoring driving behavior with the help of wireless sensor technology is the target. So the proposed research work focused on developing a framework for integrating a wireless sensor network and object detection system which used Python socket programming, a Doppler vehicle speed sensor, surveillance camera, light-emitting diodes, and proximity sensor nodes to develop the system. It is shown that the functionality of the proposed framework help in reducing abrupt lane-changing behavior, traffic light violation, and overspeeding.

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