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dc.contributor.authorSolmaz, Gürkan
dc.contributor.authorWu, Fang-Jing
dc.contributor.authorCirillo, Flavio
dc.contributor.authorKovacs, Ernö
dc.contributor.authorSantana Martínez, Juan Ramón 
dc.contributor.authorSánchez González, Luis 
dc.contributor.authorSotres García, Pablo 
dc.contributor.authorMuñoz Gutiérrez, Luis 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-03-03T07:43:39Z
dc.date.available2020-03-03T07:43:39Z
dc.date.issued2019-04
dc.identifier.issn0163-6804
dc.identifier.issn1558-1896
dc.identifier.otherTEC2015-71329-C2-1-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/18317
dc.description.abstractUnderstanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. This article discusses the existing challenges and the recent advances to overcome them and allow sharing information across stakeholders of crowd management through Internet of Things (IoT) technologies. The article proposes the usage of the new federated interoperable semantic IoT platform (FIESTA-IoT), which is considered as "a system of systems". The platform can support various IoT applications for crowd management in smart cities. In particular, the article discusses two integrated IoT systems for crowd mobility: 1) Crowd Mobility Analytics System, 2) Crowd Counting and Location System (from the SmartSantander testbed). Pilot studies are conducted in Gold Coast, Australia and Santander, Spain to fulfill various requirements such as providing online and offline crowd mobility analyses with various sensors in different regions. The analyses provided by these systems are shared across applications in order to provide insights and support crowd management in smart city environments.es_ES
dc.description.sponsorshipThe pilot study in Gold Coast is conducted in collaboration with NEC Australia. This work has been partially funded by the Spanish Government (MINECO) under Grant Agreement No. TEC2015-71329-C2-1-R ADVICE (Dynamic Provisioning of Connectivity in High Density 5G Wireless Scenarios) project and by the EU Horizon 2020 Programme under Grant Agreements No. 731993 AUTOPILOT (Automated Driving Progressed by Internet Of Things), 643943 FIESTAIoT (Federated Interoperable Semantic IoT Testbeds and Applications), and 643275 FESTIVAL (Federated Interoperable Smart ICT Services Development and Testing Platforms) projects and the joint project by NEC Laboratories Europe and Technische Universität Dortmund. The content of this paper does not reflect the official opinion of the Spanish Government or European Union. Responsibility for the information and views expressed therein lies entirely with the authors.es_ES
dc.format.extent7 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.rights© 2019 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.es_ES
dc.sourceIEEE Communications Magazine, 2019, 57(4), 40-46es_ES
dc.titleToward understanding crowd mobility in smart cities through the Internet of Thingses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1109/MCOM.2019.1800611es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/643943/EU/Federated Interoperable Semantic IoT/cloud Testbeds and Applications/FIESTA/es_ES
dc.identifier.DOI10.1109/MCOM.2019.1800611
dc.type.versionacceptedVersiones_ES


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