Using crowdsensed information for traffic simulation in the Robocar World Championship framework

Renátó Besenczi, M. Szilágyi, Norbert Bátfai, Andras Mamenyak, I. Oniga, M. Ispány
{"title":"Using crowdsensed information for traffic simulation in the Robocar World Championship framework","authors":"Renátó Besenczi, M. Szilágyi, Norbert Bátfai, Andras Mamenyak, I. Oniga, M. Ispány","doi":"10.1109/COGINFOCOM.2015.7390614","DOIUrl":null,"url":null,"abstract":"Smart city applications are expected to play an important role in city traffic management. Smart traffic solutions seem inevitable to manage expected growths in road loads. In this paper, we present a combination of hardware and software which allows us to simulate traffic situations. The measurement occurs in real-time with a designated hardware component assembled into cars. The simulation itself is implemented within the Robocar World Championship system, or more precisely within the Robocar City Emulator. We will show that this system is suitable to create such a simulation based on crowdsensed data.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2015.7390614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Smart city applications are expected to play an important role in city traffic management. Smart traffic solutions seem inevitable to manage expected growths in road loads. In this paper, we present a combination of hardware and software which allows us to simulate traffic situations. The measurement occurs in real-time with a designated hardware component assembled into cars. The simulation itself is implemented within the Robocar World Championship system, or more precisely within the Robocar City Emulator. We will show that this system is suitable to create such a simulation based on crowdsensed data.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在Robocar世界锦标赛框架下,使用众感信息进行交通模拟
智慧城市应用有望在城市交通管理中发挥重要作用。智能交通解决方案似乎不可避免地要控制道路负荷的预期增长。在本文中,我们提出了一个硬件和软件的组合,使我们能够模拟交通情况。通过将指定的硬件组件组装到汽车中,实时进行测量。模拟本身在Robocar世界锦标赛系统中实现,或者更准确地说在Robocar城市模拟器中实现。我们将证明该系统适合创建基于众感数据的仿真。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Brain activity measured with fNIRS for the prediction of cognitive workload Towards computer-assisted language learning with robots, wikipedia and CogInfoCom A motivational model of hunger for a cognitive architecture Distributed processing of biological interactions using Hadoop Mobile applications for traffic safety
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1