Using the driving behaviour to design a forward collision probability index

Abstract

This paper uses the driving behaviour to design a Forward Collision Probability Index (FCPI) for alerting and to assist the driver to keep a safety driving distance for avoiding the forward collision accident in highway driving. We use the time-to-collision (TTC) as a main factor for calculating the FCPI. The index of FCPI is easy understanding for the driver even those who have no professional knowledge in vehicle technology. A self-learning algorithm for reducing the wrong warnings is presented for obtaining a suitable FCPI for the driver, which means that calculating the FCPI could meet each driver's behaviour. For the value of FCPI, value 0 is indicating the 0% probability of forward collision, and values 0.5 and 1 are indicating the 50% and 100% probabilities of forward collision, respectively. The experimental results guaranteed that the self-learning algorithm could figure out an optimal FCPI index for each driver to meet his/her driving behaviour and could reduce the wrong warnings.