IoT-based Mobile Application for Road Accident Detection and Notification

Sandipan Ghosal, Tanusree Chatterjee, Kokonod Ray, Hrit Saha, Bishal Laha, Souvick Mondal, Swarup Mondal, Rajib Banerjee, Chinmoy Jana
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Abstract

Vehicle accidents are major concern today in traffic management systems which result in an increasing number of deaths. India is currently in top position in road accidents around the globe. This leads to a huge number in future with growing population and other causes e.g. bad road conditions, reckless driving, delay in medical help, etc. To overcome these, a proper accident detection and notification system is required. Here comes our android app based on IoT sensors (Accelerometer, Gyroscope) of smartphones used in our daily lives. The app automatically detects an accident from sensory data and sends notification to emergency numbers so that victims receive immediate medical assistance. The app covers most of the solutions in this regard in post-accident scenarios, such as accident detection, sending notifications, and a few which are applicable for alerting people about accidents and handling traffic congestion scenarios.Later includes warning drivers while entering an accident-prone zone, suggesting an alternate route to avoid congestion in the accident occurrence area, etc. The performance is analyzed by delay time, false alarm rates and it outperforms the existing systems in terms of different features. Thus, it is user-friendly, reliable, and cost effective.
基于物联网的道路事故检测与通知移动应用
交通事故是当今交通管理系统的主要问题,导致越来越多的人死亡。印度目前在全球道路交通事故中排名第一。随着人口的增长和其他原因,如恶劣的路况、鲁莽驾驶、医疗救助的延误等,这导致了未来的巨大数字。为了克服这些问题,需要一个适当的事故检测和通知系统。我们的android应用程序基于我们日常生活中使用的智能手机的物联网传感器(加速度计,陀螺仪)。该应用程序会自动从感知数据中检测到事故,并向紧急号码发送通知,以便受害者立即获得医疗援助。这款app涵盖了事故后场景下这方面的大部分解决方案,比如事故检测、发送通知,还有一些适用于提醒人们事故和处理交通拥堵场景的解决方案。Later包括在进入事故多发区域时警告司机,建议替代路线以避免事故发生区域的拥堵等。从延迟时间、虚警率等方面分析了该系统的性能,在各方面都优于现有系统。因此,它是用户友好的、可靠的和经济有效的。
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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