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

Clémence Rolland () and Caroline Bayart ()
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Clémence 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) - Université de Nîmes - 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

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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.

Keywords: Big Data Analytics; Transport demand analysis; Mobile Phone Data; Origin-Destination matrix (search for similar items in EconPapers)
Date: 2025-06-10
Note: View the original document on HAL open archive server: https://hal.science/hal-05120068v1
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Published in 13th Symposium of the European Association for Research in Transportation, Jun 2025, Munich, Germany

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