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Article: A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles

TitleA City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles
Authors
KeywordsReal-time systems
Intelligent vehicles
Urban areas
Wireless communication
Internet of things
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.comsoc.org/commag
Citation
IEEE Communications Magazine, 2018, v. 56 n. 9, p. 19-25 How to Cite?
AbstractAs an emerging platform based on ITS, SIoV is promising for applications of traffic management and road safety in smart cities. However, the endto- end delay is large in store-carry-and-forwardbased vehicular networks, which has become the main obstacle for the implementation of large-scale SIoV. With the extensive applications of mobile devices, crowdsensing is promising to enable realtime content dissemination in a city-wide traffic management system. This article first provides an overview of several promising research areas for traffic management in SIoV. Given the significance of traffic management in urban areas, we investigate a crowdsensing-based framework to provide timely response for traffic management in heterogeneous SIoV. The participant vehicles based on D2D communications integrate trajectory and topology information to dynamically regulate their social behaviors according to network conditions. A real-world taxi trajectory analysis-based performance evaluation is provided to demonstrate the effectiveness of the designed framework. Furthermore, we discuss several future.
Persistent Identifierhttp://hdl.handle.net/10722/260426
ISSN
2017 Impact Factor: 9.27
2015 SCImago Journal Rankings: 3.133
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, X-
dc.contributor.authorNing, Z-
dc.contributor.authorHu, X-
dc.contributor.authorNgai, E-
dc.contributor.authorWang, L-
dc.contributor.authorHu, B-
dc.contributor.authorKwok, YK-
dc.date.accessioned2018-09-14T08:41:32Z-
dc.date.available2018-09-14T08:41:32Z-
dc.date.issued2018-
dc.identifier.citationIEEE Communications Magazine, 2018, v. 56 n. 9, p. 19-25-
dc.identifier.issn0163-6804-
dc.identifier.urihttp://hdl.handle.net/10722/260426-
dc.description.abstractAs an emerging platform based on ITS, SIoV is promising for applications of traffic management and road safety in smart cities. However, the endto- end delay is large in store-carry-and-forwardbased vehicular networks, which has become the main obstacle for the implementation of large-scale SIoV. With the extensive applications of mobile devices, crowdsensing is promising to enable realtime content dissemination in a city-wide traffic management system. This article first provides an overview of several promising research areas for traffic management in SIoV. Given the significance of traffic management in urban areas, we investigate a crowdsensing-based framework to provide timely response for traffic management in heterogeneous SIoV. The participant vehicles based on D2D communications integrate trajectory and topology information to dynamically regulate their social behaviors according to network conditions. A real-world taxi trajectory analysis-based performance evaluation is provided to demonstrate the effectiveness of the designed framework. Furthermore, we discuss several future.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.comsoc.org/commag-
dc.relation.ispartofIEEE Communications Magazine-
dc.rightsIEEE Communications Magazine. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectReal-time systems-
dc.subjectIntelligent vehicles-
dc.subjectUrban areas-
dc.subjectWireless communication-
dc.subjectInternet of things-
dc.titleA City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles-
dc.typeArticle-
dc.identifier.emailKwok, YK: ykwok@hku.hk-
dc.identifier.authorityKwok, YK=rp00128-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/MCOM.2018.1701065-
dc.identifier.scopuseid_2-s2.0-85052736770-
dc.identifier.hkuros291053-
dc.identifier.volume56-
dc.identifier.issue9-
dc.identifier.spage19-
dc.identifier.epage25-
dc.identifier.isiWOS:000444843900007-
dc.publisher.placeUnited States-

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