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ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data

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Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1815))

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Abstract

Nowadays, it is possible to characterise, visualise, and analyse urban mobility using digital footprints, in particular, cellphones. However, movement patterns from vast heterogeneous datasets must be parsed, filtered, and aggregated using dynamic and scalable methods. ANTENNA, is a visual analytic tool that depicts trajectories of movement gathered from mobile cellphone data, enabling the discovery and analysis of its patterns. The data is processed in real time, transforming raw records of cellphone connections into trajectories, that can be used to infer mass movements of crowds. The proposed visualisation tool is prepared to deal with different analytical scenarios, presenting distinct visualisation strategies for various ranges of tasks. We conducted user testing with experts from many fields to validate ANTENNA. According to the results, ANTENNA proved to be beneficial for each one of the tested scenarios.

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Notes

  1. 1.

    Note that the REST API module works in an asynchronous way, i.e., once a visual query is submitted it delivers the response for the visual query submission and becomes available to accept new visual queries.

  2. 2.

    A telecommunication operator in Portugal.

  3. 3.

    The shapefiles for the Portugal administrative units were taken from GADM.

  4. 4.

    https://pgrouting.org/.

  5. 5.

    An antenna may not exhibit the 3 types of behaviours previously described.

  6. 6.

    Other scenarios can be visualised in the demo videos at the following link https://bit.ly/3BTcoaY.

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Authors and Affiliations

  1. CISUC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Pedro Silva, Catarina Maçãs, João Correia, Penousal Machado & Evgheni Polisciuc

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  1. Pedro Silva
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  2. Catarina Maçãs
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  3. João Correia
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  4. Penousal Machado
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  5. Evgheni Polisciuc
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Correspondence to Pedro Silva .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    A. Augusto de Sousa

  2. University of Warwick, Coventry, UK

    Kurt Debattista

  3. Mines ParisTech, Paris, France

    Alexis Paljic

  4. Bentley University, Waltham, USA

    Mounia Ziat

  5. French Civil Aviation University (ENAC), Toulouse, France

    Christophe Hurter

  6. Monash University, Melbourne, VIC, Australia

    Helen Purchase

  7. Department of Mathematics, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  8. Computer Vision Center, University of Barcelona, Barcelona, Spain

    Petia Radeva

  9. IRISA, University of Rennes 1, Rennes, France

    Kadi Bouatouch

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Silva, P., Maçãs, C., Correia, J., Machado, P., Polisciuc, E. (2023). ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data. In: de Sousa, A.A., et al. Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2022. Communications in Computer and Information Science, vol 1815. Springer, Cham. https://doi.org/10.1007/978-3-031-45725-8_7

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