Title: Based on tired index of driver to evaluate a forward collision probability index

Authors: Yuan-Lin Chen

Addresses: Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan

Abstract: This paper presents a forward collision probability evaluation based on the tired index of a driver for alerting and assisting the driver to avoid the forward collision in highway driving. From Electroencephalograph (EEG), we could figure out the Relaxed Index (RI) and Focus Index (FI) of the driver. And then a Tired Index (TI) of the driver will be found. We use the tired index of the driver, the Time-To-Collision (TTC) and Headway Time (HT) to be the factors for evaluating the forward collision probability. When we evaluate the forward collision probability indices of TTC and HT, a Mamdani fuzzy inference algorithm is presented for calculating the forward collision probability index of the vehicle. The Forward Collision Probability Index (FCPI) is easily understood for the driver even those who do not have any professional knowledge in the vehicle field. It is useful and easily understood for the presented probability index of forwarding collision for alerting the driver to avoid the forward collision when driving on the highway.

Keywords: EEG; tired index; forward collision probability index.

DOI: 10.1504/IJVS.2019.101855

International Journal of Vehicle Safety, 2019 Vol.11 No.2, pp.107 - 119

Accepted: 17 Jun 2019
Published online: 27 Aug 2019 *

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