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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
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Sharma, Ishant & Mishra, Sabyasachee & Kabiri, Aliakbar & Ghader, Sepehr & Zhang, Lei, 2024. "Use of passive data for determining link level long distance trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    4. 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.
    5. 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.
    6. 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.
    7. 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).

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