面向车对车通信的城市交叉口拓扑特征

H. Tchouankem
{"title":"面向车对车通信的城市交叉口拓扑特征","authors":"H. Tchouankem","doi":"10.1109/VTCFall.2016.7880931","DOIUrl":null,"url":null,"abstract":"The vehicle-to-vehicle communication through exchange of information between vehicles and their neighborhood provides great opportunity to improve road safety and traffic efficiency. Consequently, safety-based V2V applications have to fulfill quality requirements in order to help drivers in critical situations on rural and motorway roads, as well as in urban and inner-city areas. However, due to the inevitable presence of stationary radio shadowing, especially in inner-city intersections, a significant contingent of message transmissions will be susceptible to recurrent signal attenuation caused by building obstructions. In this paper, we characterize the intersection topologies in urban areas by analyzing the presence and placement of buildings around intersections from a data set covering more than twenty five big cities selected worldwide. For the evaluation, we consider real data gathered from a free available online map that provides geographical data and street networks. Moreover, a simple approach allowing a meticulous characterization, and dealing with the high computational time and memory constraints is introduced.","PeriodicalId":6484,"journal":{"name":"2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)","volume":"35 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Characterization of Intersection Topologies in Urban Areas for Vehicle-to-Vehicle Communication\",\"authors\":\"H. Tchouankem\",\"doi\":\"10.1109/VTCFall.2016.7880931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vehicle-to-vehicle communication through exchange of information between vehicles and their neighborhood provides great opportunity to improve road safety and traffic efficiency. Consequently, safety-based V2V applications have to fulfill quality requirements in order to help drivers in critical situations on rural and motorway roads, as well as in urban and inner-city areas. However, due to the inevitable presence of stationary radio shadowing, especially in inner-city intersections, a significant contingent of message transmissions will be susceptible to recurrent signal attenuation caused by building obstructions. In this paper, we characterize the intersection topologies in urban areas by analyzing the presence and placement of buildings around intersections from a data set covering more than twenty five big cities selected worldwide. For the evaluation, we consider real data gathered from a free available online map that provides geographical data and street networks. Moreover, a simple approach allowing a meticulous characterization, and dealing with the high computational time and memory constraints is introduced.\",\"PeriodicalId\":6484,\"journal\":{\"name\":\"2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)\",\"volume\":\"35 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTCFall.2016.7880931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2016.7880931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

车辆与周围环境之间通过信息交换进行的车对车通信为提高道路安全和交通效率提供了巨大的机会。因此,基于安全的V2V应用必须满足质量要求,以便在农村和高速公路以及城市和内城地区的关键情况下帮助驾驶员。然而,由于不可避免地存在固定的无线电阴影,特别是在市中心的十字路口,大量的信息传输将容易受到建筑物障碍物引起的反复信号衰减的影响。在本文中,我们通过分析来自全球超过25个大城市的数据集的十字路口周围建筑物的存在和位置来表征城市地区的十字路口拓扑。为了评估,我们考虑了从提供地理数据和街道网络的免费在线地图收集的真实数据。此外,介绍了一种简单的方法,允许细致的表征,并处理高计算时间和内存限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Intersection Topologies in Urban Areas for Vehicle-to-Vehicle Communication
The vehicle-to-vehicle communication through exchange of information between vehicles and their neighborhood provides great opportunity to improve road safety and traffic efficiency. Consequently, safety-based V2V applications have to fulfill quality requirements in order to help drivers in critical situations on rural and motorway roads, as well as in urban and inner-city areas. However, due to the inevitable presence of stationary radio shadowing, especially in inner-city intersections, a significant contingent of message transmissions will be susceptible to recurrent signal attenuation caused by building obstructions. In this paper, we characterize the intersection topologies in urban areas by analyzing the presence and placement of buildings around intersections from a data set covering more than twenty five big cities selected worldwide. For the evaluation, we consider real data gathered from a free available online map that provides geographical data and street networks. Moreover, a simple approach allowing a meticulous characterization, and dealing with the high computational time and memory constraints is introduced.
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:481959085
Book学术官方微信