Prototyping of Multi-Factors Based Vehicle Accident Detection and Reporting System Relying on GPS and GS

Author:

Omar Al-Mukhtar Tawfeeq ,Mohanad Ghazi Khamees ,Wasan Sameer Rasheed

Abstract

Several car accidents are reported everyday worldwide, and many fatalities and injuries occur that can be predicted and prevented. This paper does not focus on those accidents that get reported, but instead it focuses on the accidents that do not get reported and result in major injuries and fatalities that can be avoided by simple notification that can be sent to the right people at the right time, so that help can be sent even if the people in need of it are not capable of requesting it. The proposed system can be considered as a tool for the safety of the car passengers in addition to the already existing seat belts. The optimum speed of arrival of the help is achieved in this work by implementing GPS such that a website link that contains the exact location of the accident is sent in order to find the location of the accident instantly without having the people involved in the accident to have to report their location. This paper aims mainly to design a system that can detect one of three cases, the first one is when there is an accident and the air bags do not deploy, while the second case is when there is an accident, and the air bags are deployed, and the third case is an SOS message in case there was a need for it. Of course, there might happen a small accident that does not require the system to send a notification, so there is a switch that can be pushed in order to prevent the system from sending faulty alarms.

Publisher

Al-Farabi University College

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Accident Prevention, Detection and Reporting System Using IoT;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3