Abstract
Animal-Vehicle Collisions (AVC) phenomenon is a worldwide problem. In United States, Canada and Europe the AVC have been shown to be a considerable problem on the road. In Saudi Arabia, hundreds of Camel-Vehicle collisions are reported every year. They are causing numerous deaths and loss of property running into millions of Saudi Riyals. Ministry of Transport of the Kingdom spends billions of Saudi Riyals to treat this problem by building fences along the highways. Fences are costly to install, difficult to maintain, and they isolate the camel habitat. This paper investigates the design and the implementation of a deployable and intelligent Camel-Vehicle Accident Avoidance System (CVAAS) using global positioning system (GPS) technology. The use of GPS sensors in this kind of application is a novel idea. The main aim of the CVAAS is to save lives of humans and as well as camels in such accidents and save billions of Saudi Riyal through this research. The CVAAS's team developed high-level diagrams and detailed steps needed to accomplish the proposed system. To study the effectiveness of the CVAAS, the team implements and deploys the system into a selected test area. Finally, this paper provides a set of recommendations for deploying the CVAAS in large scale. In conclusion, it is expected that the CVAAS will be recognized as a world leader in using GPS technology for avoiding animal-vehicle collisions.