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Evaluation and development of a self-ruling internal control system for preventing car accidents using artificial neural network

机译:基于神经网络的预防交通事故自我裁决内部控制系统的评估与开发

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In recent years, road accident has turned into a tremendous daily life affair in the perspective of Bangladesh. Of all the accidents, car accident is the most significant contributor in this context. Every year a heavy toll of human lives is getting subjected to unnatural death due to this unexpected phenomenon. Most of the car accidents occur due to the sudden failure of braking system, any machinery breakdown or driver's loss of control over the car during an unavoidable critical situation. In concern with the fact stated above, this paper focuses on the prevention of car accident through implementation of artificial neural network (ANN). A prototype is built with Arduino and the simulation is executed in MATLAB. Effective implementation of this research can reduce the risk of accident as well as this technology is very much effective to pave the way of communication through the highways. Moreover, this technology can also be a helpful tool to organize further researches in this field for the sake of humanity.
机译:近年来,从孟加拉国的角度来看,道路交通事故已经变成了巨大的日常生活。在所有事故中,在这种情况下,车祸是最重要的因素。每年,由于这种意外现象,人类的生命遭受沉重打击。大多数汽车事故的发生是由于在不可避免的严重情况下制动系统的突然故障,任何机械故障或驾驶员失去对汽车的控制。考虑到上述事实,本文着重于通过实施人工神经网络(ANN)预防车祸。用Arduino构建了原型,并在MATLAB中执行了仿真。有效实施这项研究可以降低事故风险,并且该技术非常有效地为通过高速公路的通信铺平了道路。而且,这项技术也可以成为有益于人类发展的有用工具,用于组织该领域的进一步研究。

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