基于事故声音学习的隧道内事故检测系统

Q3 Social Sciences
Linyang Yan, Sun-Woo Ko
{"title":"基于事故声音学习的隧道内事故检测系统","authors":"Linyang Yan, Sun-Woo Ko","doi":"10.2174/1874447802115010081","DOIUrl":null,"url":null,"abstract":"Introduction: Traffic accidents are easy to occur in the tunnel due to its special environment, and the consequences are very serious. The existing vehicle accident detection system and CCTV system have the issues of low detection rate.","PeriodicalId":38631,"journal":{"name":"Open Transportation Journal","volume":"15 1","pages":"81-92"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"In-tunnel Accident Detection System based on the Learning of Accident Sound\",\"authors\":\"Linyang Yan, Sun-Woo Ko\",\"doi\":\"10.2174/1874447802115010081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Traffic accidents are easy to occur in the tunnel due to its special environment, and the consequences are very serious. The existing vehicle accident detection system and CCTV system have the issues of low detection rate.\",\"PeriodicalId\":38631,\"journal\":{\"name\":\"Open Transportation Journal\",\"volume\":\"15 1\",\"pages\":\"81-92\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Transportation Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874447802115010081\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Transportation Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874447802115010081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

摘要

导语:隧道内由于环境特殊,容易发生交通事故,后果十分严重。现有的车辆事故检测系统和闭路电视系统存在检测率低的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-tunnel Accident Detection System based on the Learning of Accident Sound
Introduction: Traffic accidents are easy to occur in the tunnel due to its special environment, and the consequences are very serious. The existing vehicle accident detection system and CCTV system have the issues of low detection rate.
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
Open Transportation Journal
Open Transportation Journal Social Sciences-Transportation
CiteScore
2.10
自引率
0.00%
发文量
19
×
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