Tracking Users Mobility at Public Transportation

  • Nuno Baeta
  • Agnelo Fernandes
  • João FerreiraEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 616)


In this research work we propose a new approach to estimate the number of passengers in a public transportation or determinate the users’ route path based on probe requests of users mobile device through collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time.


Wi-Fi Mobile device Tracking GPS 


  1. 1.
    Ogawa, K., Verbree, E., Zlatanova, S., Kohtake, N., Okhami, Y.: Towards seamless indoor-outdoor applications: developing stakeholder-oriented location based services. Geo-spatial Inf. Sci. 14(2), 109–118 (2011)CrossRefGoogle Scholar
  2. 2.
    Chon, J., Cha, H.: LifeMap: a smartphone-based context provider for location-based services. IEEE Pervasive Comput. 10(2), 58–67 (2011). doi: 10.1109/MPRV.2011.13 CrossRefGoogle Scholar
  3. 3.
    Number of mobile phone users worldwide. Accessed May 2015
  4. 4.
    Hou, Y.-L., Pang, G.K.: People counting and human detection in a challenging situation. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 41(1), 24–33 (2011). doi: 10.1109/TSMCA.2010.2064299 CrossRefGoogle Scholar
  5. 5.
    Bonné, B., Barzan, A., Quax, P., Lamotte, W.: WiFiPi: involuntary tracking of visitors at mass events. In: IEEE 14th International Symposium and Workshops on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–6 (2013)Google Scholar
  6. 6.
    Tecmic website. Accessed May 2015
  7. 7.
    Ferreira, J., Almeida, J., Silva, A.: The impact of driving styles on fuel consumption: a data warehouse and data mining based discovery process. IEEE Trans. Intell. Transp. Syst. Mag. Intell. Transp. Syst. 16(5), 2653–2662 (2015). doi: 10.1109/TITS.2015.2414663 CrossRefGoogle Scholar
  8. 8.
    Van der Spek, S., Van Schaick, J., De Bois, P., De Haan, R.: Sensing human activity: GPS tracking. Sensors 9(4), 3033–3055 (2009)CrossRefGoogle Scholar
  9. 9.
    Musa, A.B.M., Eriksson, J.: Tracking unmodified smartphones using WiFi monitors. In: SenSys 2012, Toronto (2012)Google Scholar
  10. 10.
    McArdle, G., Demšar, U., van der Spek, S., McLoone, S.: Classifying pedestrian movement behavior from GPS trajectories using visualization and clustering. Ann. GIS 20(2), 85–98 (2014)CrossRefGoogle Scholar
  11. 11.
    Kostakos, V.: Wireless detection of passenger trips on public transport buses. LabUSE, University of Madeira, Carnegie Mellon University (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.ADEETC at ISELLisbonPortugal

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