Road Safety Approach to Mitigating the Accidents in Vehicular Networks

2022 International Conference on Edge Computing and Applications (ICECAA) Pub Date : 2022-10-13 DOI:10.1109/ICECAA55415.2022.9936341

Gogineni Hima Bindu, Thalakola Syamsundararao, Vuyyuru Lakshmareddy, P. R., Dasari Koteswara Rao, B. Samatha

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引用次数: 0

Abstract

The steady increase in the death tolls due to road accidents has gained a significant research attention from both academia and industries. The main reason behind road accidents is vehicle collision. In particular, to model the effect of accidents, the rear-end collisions can be analyzed by using vehicle location and speed. Moreover, the speed, direction, distance between cars, and relative speed of each vehicle simulator in various accident/collision scenarios in automobile networks must be investigated and analyzed. A safety system has been designed to reduce the probability of accidents. The proposed technique estimates the impact of a vehicular collision by considering: pedestrian crossings, interval between collisions, and accident avoidance at intersections. The proposed method is dependent on a novel criterion to determine accidents with 92.6% accuracy. Cases with a 7.4% chance of occurrence allow the passive safety system to help people survive and prevent injury in the case of an emergency.

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缓解车辆网络事故的道路安全途径

道路交通事故死亡人数的持续增长引起了学术界和工业界的广泛关注。交通事故的主要原因是车辆碰撞。特别是，为了模拟事故的影响，可以使用车辆位置和速度来分析追尾碰撞。此外，还必须对汽车网络中各种事故/碰撞场景中每个车辆模拟器的速度、方向、车距和相对速度进行调查和分析。为了减少事故发生的可能性，设计了一套安全系统。该技术通过考虑行人过街、碰撞间隔和交叉路口的事故避免来估计车辆碰撞的影响。所提出的方法依赖于一个新的标准来确定事故，准确率为92.6%。发生概率为7.4%的情况下，被动安全系统可以在紧急情况下帮助人们生存并防止受伤。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 International Conference on Edge Computing and Applications (ICECAA)

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