Title: Forward collision warning system considering both time-to-collision and safety braking distance

Authors: Yuan-Lin Chen; Kun-Yuan Shen; Shun-Chung Wang

Addresses: Institute of Electro-Mechanical Engineering, Ming Chi University of Technology, No. 84 Gungjuan Rd., Taishan Dist., New Taipei City 24301, Taiwan ' Department of Electrical Engineering, Taipei Chengshih University of Science and Technology, No. 2, Xueyuan Rd., Beitou, 112 Taipei, Taiwan ' Department of Electrical Engineering, Lunghwa University of Science and Technology, No. 300, Sec. 1, Wanshou Rd., Guishan Shiang, Taoyuan County 33306, Taiwan

Abstract: A novel algorithm considering both time-to-collision (TTC) and safety braking distance for forward collision warning system is presented to alert and to assist a driver in keeping safety braking distance to avoid the collision accident in highway. We use the Artificial Neural Network (ANN) to predict the safety braking distance and TCC based on the most important parameters, which are the distance between the driving car and the vehicle (obstacle) ahead, the variable of the distance between the driving car and the vehicle (obstacle) ahead, vehicle weight, vehicle speed, slope of road, condition of road surface and the age of driver. The system compares the distance of vehicle (obstacle) ahead and safety braking distance and also determines whether the moving vehicle's safety braking distance is enough or not. The reaction time of driver and pressure build-up time of braking system are all taken into account. The useful alert messages can serve as a safety assistance system for safer driving in highway.

Keywords: artificial neural networks; ANNs; time to collision; vehicle safety; safe braking distance; collision warning systems; vehicle accidents; driver assistance; vehicle braking.

DOI: 10.1504/IJVS.2013.056968

International Journal of Vehicle Safety, 2013 Vol.6 No.4, pp.347 - 360

Received: 19 Dec 2012
Accepted: 15 Apr 2013
Published online: 16 Oct 2014 *

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