Road Crime Control and Reporting System for Public Service Vehicles in Developing Countries: A Case of Kenya

Abstract

Abstract In this paper, we introduce an Automated Decision Support System (DSS) that can help reduce road accidents in developing countries. The system incorporates a number of networked sensors that collect information related to road usage crimes that includes images and send the information to a central server for processing via a GPS tracking device. The type of sensors employed are weight sensors on the vehicles suspension to detect overloaded vehicles, a speed sensor to detect over speeding vehicles a sensor on the seatbelts to identify which seatbelts are not in use, alcohol detecting sensors for drunk drivers, and a camera to capture the people in the vehicle so that an identity can be put on defaulters. The Servers send analyzed data to different institutions that include, the Traffic headquarters, Kenya’s National Transport Safety Authority (NTSA), the judicially and the owners of the vehicles. Vehicle owners can also access more detailed information using a web browser. Sensors will collect information from the vehicles, forward this to an on-board data analyzer that will upload to the nearest access point (normally to be placed at authority stations).