IoT Based System for Accident Detection, Monitoring and Landslide Detection Using GSM in Hilly Areas

Amit Bhandari, M. Ojha, D. K. Choubey, Vaibhav Soni
{"title":"IoT Based System for Accident Detection, Monitoring and Landslide Detection Using GSM in Hilly Areas","authors":"Amit Bhandari, M. Ojha, D. K. Choubey, Vaibhav Soni","doi":"10.37256/rrcs.2320232631","DOIUrl":null,"url":null,"abstract":"This paper described the detailed study for the detection and monitoring of accidents in hilly areas. In the past few decades, road accidents are a major cause of death in suburban hilly areas. These accidents not only affect the life of the destitute but also affect the lives of others. Over the last few decades, hilly areas are now ideal locations for holidays, hence an adequate number of travellers are moving towards hill stations for enjoying free time. This movement also invites accidents to occur due to bad driving skills, blind turns, overspeeding, etc. Also, during the peak time of holidays, abrupt climate change occurs and leads to heavy rainfalls, which are the major cause of landslides. As a result, the loss of life of travellers and blocked roads affecting transportation of necessary goods occur in hilly areas which affect the development and living of other people. Internet of Things (IoT) system may be a better solution to detect monitor and prevent these accidents and landslides. IoT system consists of sensors, actuators, a powerful micro-controller, and a network interface. This system detects and monitors accidents and landslides and informs the command centre about the location. Implementation of the IoT system helps us to lower the accident rate and easily locate the affected areas of landslides using global service for mobile (GSM) or Wireless Fidelity (Wi-Fi) connectivity. It is always a challenging task for a rescue team to locate the exact area of an accident and carry out life-saving operations.","PeriodicalId":377142,"journal":{"name":"Research Reports on Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Reports on Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37256/rrcs.2320232631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper described the detailed study for the detection and monitoring of accidents in hilly areas. In the past few decades, road accidents are a major cause of death in suburban hilly areas. These accidents not only affect the life of the destitute but also affect the lives of others. Over the last few decades, hilly areas are now ideal locations for holidays, hence an adequate number of travellers are moving towards hill stations for enjoying free time. This movement also invites accidents to occur due to bad driving skills, blind turns, overspeeding, etc. Also, during the peak time of holidays, abrupt climate change occurs and leads to heavy rainfalls, which are the major cause of landslides. As a result, the loss of life of travellers and blocked roads affecting transportation of necessary goods occur in hilly areas which affect the development and living of other people. Internet of Things (IoT) system may be a better solution to detect monitor and prevent these accidents and landslides. IoT system consists of sensors, actuators, a powerful micro-controller, and a network interface. This system detects and monitors accidents and landslides and informs the command centre about the location. Implementation of the IoT system helps us to lower the accident rate and easily locate the affected areas of landslides using global service for mobile (GSM) or Wireless Fidelity (Wi-Fi) connectivity. It is always a challenging task for a rescue team to locate the exact area of an accident and carry out life-saving operations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于物联网的丘陵地区GSM事故检测、监测和滑坡检测系统
本文对丘陵地区交通事故的检测与监测进行了详细的研究。在过去的几十年里,道路交通事故是郊区丘陵地区死亡的主要原因。这些事故不仅影响到贫困者的生活,也影响到其他人的生活。在过去的几十年里,丘陵地区现在是度假的理想地点,因此有足够数量的旅行者正在向山地车站移动,享受空闲时间。这种运动也会因驾驶技术不佳、盲目转弯、超速等而引发事故。此外,在节假日高峰期,气候突变导致暴雨,这是造成山体滑坡的主要原因。因此,在山区发生了旅行者的生命损失和影响必需品运输的道路堵塞,影响了其他人的发展和生活。物联网(IoT)系统可能是一个更好的解决方案,可以检测、监测和预防这些事故和滑坡。物联网系统由传感器、执行器、功能强大的微控制器和网络接口组成。该系统检测和监测事故和滑坡,并通知指挥中心有关的位置。物联网系统的实施帮助我们降低事故率,并使用全球移动(GSM)或无线保真(Wi-Fi)连接服务轻松定位受滑坡影响的区域。对救援队伍来说,准确定位事故发生区域并开展救援行动一直是一项具有挑战性的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Witness System of Vehicle Accidents Based on the Internet of Things Comparative Machine Learning Approaches to Analyzing the Illnesses of the Chronic Renal and Heart Diseases Evaluating Simultaneous Multi-threading and Affinity Performance for Reproducible Parallel Stochastic Simulation Chest Disease Image Classification Based on Spectral Clustering Algorithm Investigation of Multilayer Perceptron Regression-based Models to Forecast Reference Evapotranspiration (ETo)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1