基于车辆自组织网络(VANETs)的坑坑预警系统

Pedro Ivo Siqueira Nepomuceno, K. Ullah, K. Braghetto, D. Batista
{"title":"基于车辆自组织网络(VANETs)的坑坑预警系统","authors":"Pedro Ivo Siqueira Nepomuceno, K. Ullah, K. Braghetto, D. Batista","doi":"10.1109/FIT57066.2022.00036","DOIUrl":null,"url":null,"abstract":"In developing countries, road surface quality monitoring, especially pothole detection, is performed manually by the concerned authorities. Such a traditional method of road surface assessment is expensive and requires a lot of time and human resources. The timely detection of potholes is critical, as they may lead to vehicle damage, road accidents, and injuries. To address this issue, this paper presents a pothole warning system based on algorithms using Vehicular Ad-hoc Networks (VANETs). The proposed solution uses an accelerometer to collect pothole-related data and warns drivers and authorities about potholes. We developed simulations and performed experiments to test and evaluate the global efficiency rate of the proposed method. The simulations show it can reduce pothole hits on highways by 73.65%. To allow for the replication of the experiments, the simulation code is being made publicly available.","PeriodicalId":102958,"journal":{"name":"2022 International Conference on Frontiers of Information Technology (FIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Pothole Warning System using Vehicular Ad-hoc Networks (VANETs)\",\"authors\":\"Pedro Ivo Siqueira Nepomuceno, K. Ullah, K. Braghetto, D. Batista\",\"doi\":\"10.1109/FIT57066.2022.00036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In developing countries, road surface quality monitoring, especially pothole detection, is performed manually by the concerned authorities. Such a traditional method of road surface assessment is expensive and requires a lot of time and human resources. The timely detection of potholes is critical, as they may lead to vehicle damage, road accidents, and injuries. To address this issue, this paper presents a pothole warning system based on algorithms using Vehicular Ad-hoc Networks (VANETs). The proposed solution uses an accelerometer to collect pothole-related data and warns drivers and authorities about potholes. We developed simulations and performed experiments to test and evaluate the global efficiency rate of the proposed method. The simulations show it can reduce pothole hits on highways by 73.65%. To allow for the replication of the experiments, the simulation code is being made publicly available.\",\"PeriodicalId\":102958,\"journal\":{\"name\":\"2022 International Conference on Frontiers of Information Technology (FIT)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Frontiers of Information Technology (FIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIT57066.2022.00036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Frontiers of Information Technology (FIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT57066.2022.00036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在发展中国家,路面质量监测,特别是坑洼探测是由有关当局手工进行的。这种传统的路面评估方法成本昂贵,需要大量的时间和人力资源。及时发现坑洼是至关重要的,因为它们可能导致车辆损坏、道路事故和伤害。为了解决这一问题,本文提出了一种基于车辆自组织网络(VANETs)算法的坑洼预警系统。提出的解决方案使用加速度计来收集与坑洼有关的数据,并警告驾驶员和当局坑洼。我们开发了模拟和实验来测试和评估所提出的方法的全局效率。模拟结果表明,该方法可使高速公路坑洼事故减少73.65%。为了允许实验的复制,模拟代码是公开的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pothole Warning System using Vehicular Ad-hoc Networks (VANETs)
In developing countries, road surface quality monitoring, especially pothole detection, is performed manually by the concerned authorities. Such a traditional method of road surface assessment is expensive and requires a lot of time and human resources. The timely detection of potholes is critical, as they may lead to vehicle damage, road accidents, and injuries. To address this issue, this paper presents a pothole warning system based on algorithms using Vehicular Ad-hoc Networks (VANETs). The proposed solution uses an accelerometer to collect pothole-related data and warns drivers and authorities about potholes. We developed simulations and performed experiments to test and evaluate the global efficiency rate of the proposed method. The simulations show it can reduce pothole hits on highways by 73.65%. To allow for the replication of the experiments, the simulation code is being made publicly available.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信