Smart Traffic Management for Collision Avoidance Using V2V

V. N. Thiruvalar, E. Vimal
{"title":"Smart Traffic Management for Collision Avoidance Using V2V","authors":"V. N. Thiruvalar, E. Vimal","doi":"10.9756/BIJIEMS/V11I1/21001","DOIUrl":null,"url":null,"abstract":"The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.","PeriodicalId":195522,"journal":{"name":"Bonfring International Journal of Industrial Engineering and Management Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bonfring International Journal of Industrial Engineering and Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9756/BIJIEMS/V11I1/21001","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

The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.
基于V2V的智能交通管理避免碰撞
该项目的主要目标是通过V2V通信将车辆连接在一起,避免事故发生。这些车辆将通过DSRC算法连接在一起,该算法用于在发生事故等紧急情况时在连接的车辆之间收发警报信息。车对车(V2V)和车对基础设施(V2I)技术是物联网的具体案例,也是智能交通系统(ITS)的关键推动因素。V2V和V2I已被广泛应用于解决城市交通相关的各种问题,其中最重要的是交通拥堵。交通拥堵的高比例通常是由于车辆基础设施的资源使用不当造成的。此外,由于车辆交通的高动态性,将交通拥堵整合到决策中是一个挑战。增加基础设施的增长是一个可能的解决方案,但事实证明,在时间和精力方面都是昂贵的。以运输效率为目标的各种应用可以利用车辆收集的大量信息:安全、交通管理、污染监测、旅游信息等。
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 求助全文
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:481959085
Book学术官方微信