Vehicle Accident Prevention on Mountain Roads

S. Patwardhan, Piyush Pethkar, Prachi Shah, Reva Buche, Siddharth Bhorge
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Abstract

Vehicle accidents on mountain roads have been a major concern for many years. The narrow roads, acute turns, and steep slopes of these areas can make it difficult for drivers to see approaching vehicles, leading to a high incidence of collisions. This research paper aims to propose a solution to this problem using emerging modern technology to prevent and reduce the number of accidents on mountain roads. The proposed model consists of techniques such as image processing to detect the type of vehicle present at the other end of a blind spot, alerting the driver and thus allowing them to make safe decisions while taking turns also there is a system to detect vehicle using sensors and also to manipulate the signal so proper instruction can be conveyed. Through this research, we aim to demonstrate the effectiveness of this system and show how it can be used to reduce the loss of life and property on mountain roads.
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山区道路交通事故预防
多年来,山路上的交通事故一直是人们关注的主要问题。这些地区狭窄的道路、急转弯和陡坡会使司机很难看到驶近的车辆,从而导致高碰撞发生率。这篇研究论文的目的是提出一个解决这个问题的方法,利用新兴的现代技术来预防和减少山区道路上的事故。提出的模型由图像处理等技术组成,用于检测盲点另一端存在的车辆类型,提醒驾驶员,从而允许他们在轮流驾驶时做出安全决定。此外,还有一个系统可以使用传感器检测车辆,并操纵信号,以便传达适当的指令。通过这项研究,我们的目标是证明该系统的有效性,并展示如何使用它来减少山路上的生命和财产损失。
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