Crowd data analytics as seen from Wifi: a critical review

Cristian Chilipirea

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    142 Downloads (Pure)

    Abstract

    Monitoring and modelling crowd movement enables a plethora of applications.
    Crowd-movement analysis has classically been done manually, only at large
    scales (spatial and temporal) and based on small samples. By automating the
    process, we can dramatically increase the sample size, the amount of data. WiFi
    remote-positioning is currently the most popular technology to achieve this
    goal. However, not enough research has been conducted in order to understand
    the quality of the data generated through WiFi remote-positioning. This thesis
    aims to address the issue and raise a warning light regarding the technology.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • van Steen, Maarten, Supervisor
    • Cristea, V. (Valentin), Supervisor, External person
    • Dobre, Ciprian, Supervisor, External person
    • Baratchi, M., Supervisor
    Award date21 Nov 2019
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-4896-0
    DOIs
    Publication statusPublished - 21 Nov 2019

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