IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-02114628.html
   My bibliography  Save this paper

Origin-Destination estimation using mobile network probe data

Author

Listed:
  • Patrick Bonnel

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Mariem Fekih

    (Orange Labs TECH / SENSE / RTE - Telecom Orange)

  • Smoreda Zbigniew

    (Transportation Research Institute (IMOB) - UHasselt - Hasselt University)

Abstract

Mobile phone operators produce enormous amounts of data. In this paper we present applications performed with a dataset (probe data) collected by the operator Orange in 2017 in Rhône Alpes Region, France. Trips are deduced from the spatio-temporal trajectory of devices through a hypothesis of stationarity in order to define activities. Trips are then aggregated in an origin-destination matrix which is compared with traditional data (household travel survey). With some hypothesis we obtain somewhat similar origin-destination matrix, with a slope close to one when we regress the number of trips of each origin-destination from mobile phone data with household survey data.

Suggested Citation

  • Patrick Bonnel & Mariem Fekih & Smoreda Zbigniew, 2018. "Origin-Destination estimation using mobile network probe data," Post-Print halshs-02114628, HAL.
    • Handle: RePEc:hal:journl:halshs-02114628
    DOI: 10.1016/j.trpro.2018.10.013
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oana Irimia & Mirela Panaite-Lehadus & Claudia Tomozei & Emilian Mosnegutu & Grzegorz Przydatek, 2023. "Origin-Destination Traffic Survey—Case Study: Data Analyse for Bacau Municipality," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    2. Blume, Steffen O.P. & Corman, Francesco & Sansavini, Giovanni, 2022. "Bayesian origin-destination estimation in networked transit systems using nodal in- and outflow counts," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 60-94.
    3. Marco Pozzoni & Giulia Ceccarelli & Andrea Gorrini & Lorenza Manenti & Luigi Sanfilippo, 2023. "TomTom Data Applications for the Assessment of Tactical Urbanism Interventions: The Case of Bologna," Sustainability, MDPI, vol. 15(17), pages 1-32, August.
    4. Mariem Fekih & Tom Bellemans & Zbigniew Smoreda & Patrick Bonnel & Angelo Furno & Stéphane Galland, 2021. "A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)," Transportation, Springer, vol. 48(4), pages 1671-1702, August.
    5. Benedikt Schwab & Christof Beil & Thomas H. Kolbe, 2020. "Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems," Sustainability, MDPI, vol. 12(9), pages 1-25, May.
    6. Chu, Chih-Peng & Chou, Yu-Hsin, 2021. "Using cellular data to analyze the tourists' trajectories for tourism destination attributes: A case study in Hualien, Taiwan," Journal of Transport Geography, Elsevier, vol. 96(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-02114628. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.