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Hybrid optimisation model for blind spot reduction in heavy vehicles

机译:重型车辆减盲的混合优化模型

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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.
机译:如今,道路交通事故很常见,而驾驶员的视野是此类事故的主要因素。事故造成许多人的生命和金钱的损失。减少盲区面积可改善驾驶员的视野范围,从而减少事故发生。本文旨在通过考虑重型车辆后视镜设计中使用的设计参数来优化盲区。这是通过使用混合多标准决策(MCDM)方法,通过将替代方案的复杂比例评估(COPRAS)技术和熵测量相集成来实现的。在印度南部的一家公共交通公司进行的案例研究证明了该模型的有效性。

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