Title: Hybrid optimisation model for blind spot reduction in heavy vehicles

Authors: D.S. Vincent; P. Pitchipoo; S. Rajakarunakaran

Addresses: Tamil Nadu State Transport Corporation Ltd., Thiruvannamalai, Tamil Nadu, India ' Department of Mechanical Engineering, P.S.R. Engineering College, Sivakasi, Tamil Nadu, India ' Department of Mechanical Engineering, Ramco Institute of Technology, Rajapalayam, Tamil Nadu, India

Abstract: The road accidents are common nowadays and the visibility of the driver is the prime factor in such accidents. Many lives as well as money have been lost during accidents. Reduction of blind spot area improves the area of visibility of the driver which leads towards the reduction of the accidents. This paper aims to optimise the blind spot area by considering the design parameters used in the design of rear view mirror in heavy vehicles. This is achieved by using a hybrid multi-criteria decision making (MCDM) approach by integrating complex proportional assessment of alternatives (COPRAS) technique and entropy measurement. The effectiveness of the developed model is proved by a case study conducted in a public transport corporation located in the southern part of India.

Keywords: vehicle blind spots; rear view mirrors; vehicle mirror design; complex proportional assessment of alternatives; COPRAS; entropy; hybrid optimisation; blind spot reduction; heavy vehicles; driver vision; multicriteria decision making; MCDM; public transport; India.

DOI: 10.1504/IJCAET.2017.083388

International Journal of Computer Aided Engineering and Technology, 2017 Vol.9 No.2, pp.145 - 153

Received: 05 Jun 2014
Accepted: 12 Sep 2014
Published online: 27 Mar 2017 *

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