A system for crowdsensing vibration in public transportation

L. Baljak, Nataša Bojković, A. Labus, T. Naumović, Aleksandra Maksimovic
{"title":"A system for crowdsensing vibration in public transportation","authors":"L. Baljak, Nataša Bojković, A. Labus, T. Naumović, Aleksandra Maksimovic","doi":"10.1109/IC-AIAI48757.2019.00012","DOIUrl":null,"url":null,"abstract":"The subject of this paper is the development of a crowdsensing system for measuring vibration in traffic based on Internet of things, mobile and web technologies. The developed system should provide information about the level of comfort of the environment subjected to the measurement. Mobile crowdsensing is an emerging paradigm based on the application of sensors and crowdsourcing. The use of mobile device sensors, enabling the acquisition of local geospatial information and the provision of information / knowledge sharing with other users and the wider community creates a foundation for mobile crowdsensing. The literature overview shows that application of mobile crowdsensing approach can be found in following fields: environment, infrastructure and society. The parameters that determine the comfort of the environment, the methods for calculating them and the reference values are systematized. In the practical part described in the paper, a system for measuring vibration by a large number of participants (crowdsensing) was designed, implemented and tested using mobile phones for data collection and web technologies for displaying results and user reporting. The developed system was evaluated through a concrete experiment of measuring vibration in urban transport vehicles in Belgrade. Finally, we present the analysis of results, and a decision support system that gives support to various stakeholders.","PeriodicalId":374193,"journal":{"name":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC-AIAI48757.2019.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The subject of this paper is the development of a crowdsensing system for measuring vibration in traffic based on Internet of things, mobile and web technologies. The developed system should provide information about the level of comfort of the environment subjected to the measurement. Mobile crowdsensing is an emerging paradigm based on the application of sensors and crowdsourcing. The use of mobile device sensors, enabling the acquisition of local geospatial information and the provision of information / knowledge sharing with other users and the wider community creates a foundation for mobile crowdsensing. The literature overview shows that application of mobile crowdsensing approach can be found in following fields: environment, infrastructure and society. The parameters that determine the comfort of the environment, the methods for calculating them and the reference values are systematized. In the practical part described in the paper, a system for measuring vibration by a large number of participants (crowdsensing) was designed, implemented and tested using mobile phones for data collection and web technologies for displaying results and user reporting. The developed system was evaluated through a concrete experiment of measuring vibration in urban transport vehicles in Belgrade. Finally, we present the analysis of results, and a decision support system that gives support to various stakeholders.
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
一种用于公共交通的人群感应振动系统
本文的课题是基于物联网、移动和web技术的交通振动众测系统的开发。开发的系统应提供有关测量环境的舒适程度的信息。移动众测是一种基于传感器和众包应用的新兴模式。使用移动设备传感器,能够获取本地地理空间信息,并与其他用户和更广泛的社区分享信息/知识,为移动人群感知奠定了基础。通过文献综述,可以发现移动众感方法在以下领域的应用:环境、基础设施和社会。系统地介绍了决定环境舒适度的参数、参数的计算方法和参考值。在本文所述的实践部分,设计、实现并测试了一个由大量参与者测量振动的系统(众感),使用手机进行数据收集,使用网络技术显示结果和用户报告。通过贝尔格莱德城市交通车辆振动测量的具体试验,对所开发的系统进行了评价。最后,我们提出了结果的分析,以及一个决策支持系统,为各种利益相关者提供支持。
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
Preface. The Test of Peter Kapitsa for Artificial Intelligence Application of Artificial Intelligence Methods in the Robocom Project A system for crowdsensing vibration in public transportation The Role of AI in the Transformation of Mobile Operators Domain Specific word Embedding Matrix for Training Neural Networks
×
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