Vehicle acceleration when analysed against location gives those locations where there are more sudden accelerations and decelerations. Lateral acceleration of vehicle when analysed against the driver identity can reveal if the driver is rash or not, assuming a driver is rash if there are higher incidents of sudden steering movements. Upon identification of the acceleration and location data, they are stored against the driver ID. A set of algorithms are proposed in the paper, and are implemented to predict accidents. Other implementation includes alerting the driver if an accident is predicted, and also recording and saving audio and visuals if an accident is detected. © 2017 Inderscience Enterprises Ltd.
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M. Peter and Vasudevan, S. K., “Accident prevention and prescription by analysis of vehicle and driver behaviour”, International Journal of Embedded Systems, vol. 9, pp. 328-336, 2017.