A Forward Collision Probability Index Based on the Driving Behavior

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A Forward Collision Probability Index Based on the Driving Behavior

Chen, Yuan-Lin

This paper presents a forward collision probability index(FCPI) considering the driving behavior for to alert 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 to calculate the FCPI. The index of FCPI is easier understanding for the driver even who didn't have any professional knowledge in vehicle technology. A self-learning algorithm for reducing the wrong warning is presented for to obtain a suitable FCPI for the driver that meaning is the calculating FCPI could meet each driver's behavior. 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 the self-learning algorithm could figure out an optimal FCPI index for each driver to meet his/her driving behavior and could reduce the wrong warnings.