A dynamic scalable scheme for managing mixed crowds

Najah A. Abuali, Abd Elhamid M. Taha

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Crowd management in urban settings has mostly relied on either classical, non-automated mechanisms or spontaneous notifications/alerts through social networks. Such management techniques are heavily marred by lack of comprehensive control, especially in terms of averting risks in a manner that ensures crowd safety and enables prompt emergency response. In this paper, we propose a Markov Decision Process Scheme MDP to realize a smart infrastructure that is directly aimed at crowd management. A key emphasis of the scheme is a robust and reliable scalability that provides sufficient flexibility to manage a mixed crowd (i.e., pedestrian, cyclers, manned vehicles and unmanned vehicles). The infrastructure also spans various population settings (e.g., roads, buildings, game arenas, etc.). To realize a reliable and scalable crowd management scheme, the classical MDP is decomposed into Local MDPs with smaller action-state spaces. Preliminarily results show that the MDP decomposition can reduce the system global cost and facilitate fast convergence to local near-optimal solution for each L-MDP.

    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Communications, ICC 2017
    EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467389990
    DOIs
    Publication statusPublished - Jul 28 2017
    Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
    Duration: May 21 2017May 25 2017

    Publication series

    NameIEEE International Conference on Communications
    ISSN (Print)1550-3607

    Other

    Other2017 IEEE International Conference on Communications, ICC 2017
    Country/TerritoryFrance
    CityParis
    Period5/21/175/25/17

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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