Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain

J. Chen, S. Smys
{"title":"Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain","authors":"J. Chen, S. Smys","doi":"10.36548/JTCSST.2021.2.005","DOIUrl":null,"url":null,"abstract":"In recent years, both developed and developing countries have witnessed an increase in the number of traffic accidents. Aside from a significant rise in the overall number of on-road commercial and non-commercial vehicles, advancements in transportation infrastructure and on-road technologies may result in road accidents, which generally result in high mortality. More than half of these fatalities are the result of delayed response by medical and rescue personnel. If an accident site receives quick medical treatment, an accident victim's chances of survival may improve considerably. Based on the IoT-based multiple-level vehicle environment, this study proposes a low-cost accident detection and alarm system. Vehicles are equipped with a \"Black Box\" board unit and an accident location identification module for the Global Positioning System (GPS), in addition to mechanical sensors (accelerometer, gyroscope) for accurate accident detection. This study has evaluated the proposed system with average packet delivery ratio (PDR) vs. relay nodes. Our simulation results have evaluated the evolution of relay nodes in the mobile / sensor node through internet gateway. It has also been demonstrated that the packet delivery ratio is inversely related to the incremental number of relay nodes.","PeriodicalId":11075,"journal":{"name":"Day 1 Mon, June 28, 2021","volume":"67 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, June 28, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36548/JTCSST.2021.2.005","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

In recent years, both developed and developing countries have witnessed an increase in the number of traffic accidents. Aside from a significant rise in the overall number of on-road commercial and non-commercial vehicles, advancements in transportation infrastructure and on-road technologies may result in road accidents, which generally result in high mortality. More than half of these fatalities are the result of delayed response by medical and rescue personnel. If an accident site receives quick medical treatment, an accident victim's chances of survival may improve considerably. Based on the IoT-based multiple-level vehicle environment, this study proposes a low-cost accident detection and alarm system. Vehicles are equipped with a "Black Box" board unit and an accident location identification module for the Global Positioning System (GPS), in addition to mechanical sensors (accelerometer, gyroscope) for accurate accident detection. This study has evaluated the proposed system with average packet delivery ratio (PDR) vs. relay nodes. Our simulation results have evaluated the evolution of relay nodes in the mobile / sensor node through internet gateway. It has also been demonstrated that the packet delivery ratio is inversely related to the incremental number of relay nodes.
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
物联网领域偏远地区道路事故位置检测黑匣子构建
近年来,无论是发达国家还是发展中国家,交通事故的数量都在增加。除了道路上商业和非商业车辆的总数大幅增加之外,交通基础设施和道路技术的进步可能导致道路事故,这通常导致高死亡率。这些死亡人数中有一半以上是由于医疗和救援人员反应迟缓造成的。如果在事故现场得到迅速的医疗救治,事故受害者的生存机会可能会大大提高。基于物联网的多级车辆环境,本研究提出了一种低成本的事故检测报警系统。车辆配备了一个“黑匣子”板单元和一个用于全球定位系统(GPS)的事故位置识别模块,以及用于准确探测事故的机械传感器(加速度计、陀螺仪)。本研究以平均封包传送率(PDR)与中继节点来评估所提出的系统。我们的仿真结果评估了移动/传感器节点中中继节点通过互联网网关的演化。研究还表明,分组传送率与中继节点的增量数量呈负相关。
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
Prediction of Energy Consumption by Ships at the port using Deep Learning A Review on future challenges and concerns associated with an Internet of Things based automatic health monitoring system Energy Efficient Data Mining Approach for Estimating the Diabetes Comparative Analysis of Modelling for Piezoelectric Energy Harvesting Solutions SDN Controller and Blockchain to Secure Information Transaction in a Cluster Structure
×
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