Comforting and Safer Highway Overtaking for Lane Change Based on Vehicles Speed Advisory

Hamid Sh. Aldulaimi, Bassem Ben Hamed
{"title":"Comforting and Safer Highway Overtaking for Lane Change Based on Vehicles Speed Advisory","authors":"Hamid Sh. Aldulaimi, Bassem Ben Hamed","doi":"10.1109/ICCSA57511.2022.00019","DOIUrl":null,"url":null,"abstract":"In the present world, a lots of highway users could fall in unsafe overtaking maneuver to make un appropriate lane change, this is almost caused an a lot of highway accidents. Vehicular Ad-hoc Networks (VANET) applications can present many solutions to facilitate the driving along highways, such as driving awareness, V2V communication and data transmission, traffic analysis and so on. It is a principal task to make the right decision within right time due to the high speed of the vehicles and the changing conditions on the highway. In this article, we suggest an algorithm for safe overtaking maneuver for connected vehicles (what we called S-AV), the algorithm contributes to emphases the rules of safe lane-change along the highway to achieve the right decision for safe vehicles-overtaking at the right time. The proposed algorithm can classify the safe overtaking between vehicles into major categories based on different highway traffic situations, thus, the classification also based on different criteria of vehicle performance. The proposed algorithm designed to contribute in increase of driving safety on the highway. Finally, we have to suggest some vital research subjects that deals with VANETs safety and comfort issues that seek to the traffic decision center to advice all highway user with real-time information about the safe overtaking between vehicles at any segment of highway, it is a critical research issue to inspire the researchers how to integrate the connected vehicles with driver drowsiness detection techniques to obtain best safety factor on highway driving.","PeriodicalId":218147,"journal":{"name":"2022 22nd International Conference on Computational Science and Its Applications (ICCSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd International Conference on Computational Science and Its Applications (ICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA57511.2022.00019","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 the present world, a lots of highway users could fall in unsafe overtaking maneuver to make un appropriate lane change, this is almost caused an a lot of highway accidents. Vehicular Ad-hoc Networks (VANET) applications can present many solutions to facilitate the driving along highways, such as driving awareness, V2V communication and data transmission, traffic analysis and so on. It is a principal task to make the right decision within right time due to the high speed of the vehicles and the changing conditions on the highway. In this article, we suggest an algorithm for safe overtaking maneuver for connected vehicles (what we called S-AV), the algorithm contributes to emphases the rules of safe lane-change along the highway to achieve the right decision for safe vehicles-overtaking at the right time. The proposed algorithm can classify the safe overtaking between vehicles into major categories based on different highway traffic situations, thus, the classification also based on different criteria of vehicle performance. The proposed algorithm designed to contribute in increase of driving safety on the highway. Finally, we have to suggest some vital research subjects that deals with VANETs safety and comfort issues that seek to the traffic decision center to advice all highway user with real-time information about the safe overtaking between vehicles at any segment of highway, it is a critical research issue to inspire the researchers how to integrate the connected vehicles with driver drowsiness detection techniques to obtain best safety factor on highway driving.
基于车速咨询的变道超车舒适性与安全性研究
在当今世界,许多高速公路使用者都可能陷入不安全的超车动作而导致不适当的变道,这几乎造成了许多公路事故。车载自组织网络(VANET)应用可以为高速公路行驶提供许多解决方案,如驾驶感知、V2V通信和数据传输、交通分析等。由于高速公路上的车辆速度和条件的变化,在正确的时间内做出正确的决定是一项主要任务。本文提出了一种网联车辆安全超车机动算法(S-AV),该算法强调高速公路沿线的安全变道规则,在正确的时间对安全车辆进行超车决策。该算法可以根据不同的公路交通情况将车辆间的安全超车划分为大类,从而根据车辆性能的不同标准进行分类。该算法旨在提高高速公路的行车安全性。最后,我们提出了一些重要的研究课题,这些课题涉及VANETs的安全和舒适性问题,寻求交通决策中心向所有高速公路用户提供有关高速公路任意路段车辆间安全超车的实时信息,如何将互联车辆与驾驶员困倦检测技术相结合,以获得最佳的高速公路行驶安全系数,是激励研究人员的关键研究课题。
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