Authors: Yuan-Lin Chen
Addresses: Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan
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.
Keywords: self-learning algorithm; forward collision probability index; time-to-collision.
International Journal of Vehicle Safety, 2017 Vol.9 No.3, pp.196 - 208
Received: 21 Jun 2016
Accepted: 19 Apr 2017
Published online: 03 Jul 2017 *