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    Toward understanding crowd mobility in smart cities through the Internet of Things

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    Identificadores
    URI: http://hdl.handle.net/10902/18317
    DOI: 10.1109/MCOM.2019.1800611
    ISSN: 0163-6804
    ISSN: 1558-1896
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    Autoría
    Solmaz, Gürkan; Wu, Fang-Jing; Cirillo, Flavio; Kovacs, Ernö; Santana Martínez, Juan RamónAutoridad Unican; Sánchez González, LuisAutoridad Unican; Sotres García, PabloAutoridad Unican; Muñoz Gutiérrez, LuisAutoridad Unican
    Fecha
    2019-04
    Derechos
    © 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.
    Publicado en
    IEEE Communications Magazine, 2019, 57(4), 40-46
    Editorial
    Institute of Electrical and Electronics Engineers Inc.
    Enlace a la publicación
    https://doi.org/10.1109/MCOM.2019.1800611
    Resumen/Abstract
    Understanding 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.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España
     

     

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