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Rethinking traffic count methodologies to derive OD matrices from aggregated mobile phone data

Author

Listed:
  • Clémence De Rolland

    (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, ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

  • Caroline Bayart

    (CHROME - Détection, évaluation, gestion des risques CHROniques et éMErgents (CHROME) - Nîmes Université - UNIMES - Nîmes Université, 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, LSAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

Abstract

Among the recently identified Big Data sources identified for mobility analysis, Mobile Phone Data (MPD) has been is considered as a promising passive source of information to complement traditional travel surveys thanks to large samples that are not limited to one mode of transport. Unlike individual MPD, aggregated MPD avoids privacy concerns and can be collected over long periods of time, but it only provides the number of people in a given area during a given time interval and requires further processing for mobility management. This paper therefore proposes a theoretical framework for generating OD matrices from AMPD, using methods derived from traffic counts. To ensure proper data transformation, several algorithms are tested, first in simulation and then using real data. The results demonstrate the potential of AMPD to generate high quality OD matrices on a continuous basis.

Suggested Citation

  • Clémence De Rolland & Caroline Bayart, 2025. "Rethinking traffic count methodologies to derive OD matrices from aggregated mobile phone data," Post-Print hal-05120068, HAL.
    • Handle: RePEc:hal:journl:hal-05120068
    Note: View the original document on HAL open archive server: https://hal.science/hal-05120068v1
    as

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