Exploring indoor movement patterns through eduroam connected wireless devices

Simon Griffioen, Martijn Vermeer, Balázs Dukai, Stefan van der Spek, Edward Verbree

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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    Abstract

    Knowledge of people's locations and related mobility patterns are important for many decision-making processes. How to efficiently use the available space, is a common problem in many fields. Wireless Local Area Networks (WLAN) are widely used for locating mobile devices within this network. This study attempts to identify movement from Wi-Fi log data on the Delft University of Technology campus. The proposed method automatically explores people’s movement by firstly, extract stay places, secondly discover movement and finally, identify movement patterns. This method is studied for two spatial levels: (1) at building level, movement between, from and to buildings can be detected, (2) at building-part level, movement between, from and to large indoor regions can be detected. For indoor analysis, the travelled path is estimated using a network graph of the underlying floorplan. This paper shows promising results for mining people’s movement patterns between buildings and indoor building-parts.
    Original languageEnglish
    Title of host publicationProceedings of the 20th AGILE Conference on Geographic Information Science
    Subtitle of host publicationSocietal Geo-innovation
    EditorsArnold Bregt, Tapani Sarjakoski, Ron van Lammeren, Frans Rip
    PublisherWageningen University
    Number of pages6
    ISBN (Electronic)978-90-816960-7-4
    Publication statusPublished - 2017
    EventAGILE 2017: 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands
    Duration: 9 May 201712 May 2017
    https://agile-online.org/index.php/conference/conference-2017

    Conference

    ConferenceAGILE 2017: 20th AGILE International Conference on Geographic Information Science
    CountryNetherlands
    CityWageningen
    Period9/05/1712/05/17
    Internet address

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  • Cite this

    Griffioen, S., Vermeer, M., Dukai, B., Spek, S. V. D., & Verbree, E. (2017). Exploring indoor movement patterns through eduroam connected wireless devices. In A. Bregt, T. Sarjakoski, R. V. Lammeren, & F. Rip (Eds.), Proceedings of the 20th AGILE Conference on Geographic Information Science: Societal Geo-innovation Wageningen University.