Willem Grobler, Seleman Ngwira, and Tranos Zuva
Trajectory prediction, Collision detection, Real time trajectory prediction, Trajectory estimation, Collision detection method
Worldwide more than 1.24 million people die each year because of road crashes. In 2008 980,000 crashes were reported in South Africa alone. In 2004 the financial impact of these deadly events was estimated at $518 billion. Current integrated technologies in Smartphones and Tablets enable us to do something that has never been done before, that is to predict road crashes in real time. Mobile devices can access information such as traveling direction and speed from their Global Position System (GPS). Given these parameters, it is now possible to predict where the current mobile device will be in future. Information is easily shared with Wireless Technology (WIFI) between the devices. Searching for collisions is not always an easy task. This paper proposes a trajectory prediction formula where acceleration and Direction Change Rate (DCR) is considered as well as a search algorithm for optimal crash search detection. The results prove that the Line Intersection Technique (LIT) is a better algorithm to use when searching for collisions between different road using objects.
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