利用VANETs云环境预防低能见度条件下的交通事故

Kwok Tai Chui, Tanveer Singh Kochhar, A. Chhabra, S. K. Singh, Deepinder Singh, D. Peraković, Ammar Almomani, Varsha Arya
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引用次数: 0

摘要

道路交通事故已成为当今人们关心的主要安全问题。车辆数量的增加大大增加了道路交通的实时性,导致了许多致命事故。多年来,研究人员一直在努力寻找提高车辆安全性的解决方案,以防止这些事故或至少减少其影响。本文旨在通过研究车辆在低能见度条件下的反应时间,并提出一个可以在现实世界中实施的解决方案,以防止在这种情况下发生事故,从而在这一领域做出贡献。提出了一种新的算法,该算法利用VANETS云中的一种改进形式的AODV路由协议,在同一车道上的领先车辆减速时向车辆发出警报。这项研究可以帮助司机,让他们有足够的时间在任何事故发生之前做出反应。司机会对前面的车辆有更好的了解,让他们在低能见度条件下驾驶时做出正确和明智的决定。
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Traffic Accident Prevention in Low Visibility Conditions Using VANETs Cloud Environment
Road accidents have become a major concern for safety today. The increase in the number of vehicles has significantly increased the real-time road traffic, leading to many fatal accidents. Over the years, researchers have been trying to find solutions to enhance vehicular security in order to prevent these accidents or at least reduce their impact. This paper aims to contribute in this domain by studying the reaction time of vehicles in low visibility conditions and proposing a solution which can be implemented in the real world to prevent accidents in such scenarios. A novel algorithm is proposed which utilizes a modified form of AODV routing protocol in VANETS Cloud to alert the vehicles whenever a leading vehicle in the same lane slows down. This study can help the drivers by providing them sufficient time to react before any occurrence of an accident. The drivers would have a better idea about the vehicles in front, allowing them to make proper and informed decisions while driving in low visibility conditions.
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