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Reduction of blind spots in heavy transport vehicles through the optimisation of driver seat design

机译:通过优化驾驶员座椅设计减少重型运输车辆中的盲区

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>Statistics show that around 60% of road accidents occur due to poor visibility of driver and fatigue. Visibility of the driver while driving depends on the factors like blind spot, glare, weather and conditions of the head lamps of both own and the vehicle from opposite side. Among these, blind spot is the prime factor for accidents irrespective of time of travel. Reduction of blind spot area (Figure 1) improves the area of visibility of the driver which reduces the causes of the accidents. The driver seat design plays vital role in the driver's visibility while he is in the driver seat. This aim of this paper is to optimise the blind spot area by considering the design parameters used in the design of driver seat. To achieve this, a hybrid multi criteria decision-making (MCDM) approach is proposed by integrating computer aided engineering and technology (COPRAS) technique and fuzzy analytical hierarchy process (FAHP). The developed model is tested by a case study conducted in a public transport corporation located in the southern part of India.
机译:>统计数据表明,大约60%的道路交通事故是由于驾驶员视野不佳和疲劳引起的。驾驶员在驾驶过程中的可见性取决于诸如盲点,眩光,天气以及对面的本车和车辆前照灯条件的因素。其中,盲区是与出行时间无关的事故的主要因素。减少盲区(图1)可提高驾驶员的视野范围,从而减少事故发生的原因。驾驶员座椅设计在驾驶员坐在驾驶员座椅上时对驾驶员的视野至关重要。本文的目的是通过考虑驾驶员座椅设计中使用的设计参数来优化盲区。为了实现这一目标,提出了一种将计算机辅助工程与技术(COPRAS)技术与模糊分析层次过程(FAHP)集成在一起的混合多准则决策(MCDM)方法。通过在印度南部的一家公共交通公司进行的案例研究对开发的模型进行了测试。

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