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Average annual daily traffic on the national road network 2019 - corrected data
[Données Trafic moyen journalier annuel de 2019 Description et correction des données Poids lourds]

Author

Listed:
  • Nicolas Roelandt

    (AME - Département Aménagement, Mobilités et Environnement - Université Gustave Eiffel)

  • François Combes

    (AME-SPLOTT - Systèmes Productifs, Logistique, Organisation des Transports et Travail - Université Gustave Eiffel)

  • Vincent Robin

    (Cerema Direction Méditerranée - Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Direction Méditerranée - Cerema - Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement)

  • Lucie Letrouit

    (AME-SPLOTT - Systèmes Productifs, Logistique, Organisation des Transports et Travail - Université Gustave Eiffel)

  • Martin Koning

    (AME-SPLOTT - Systèmes Productifs, Logistique, Organisation des Transports et Travail - Université Gustave Eiffel)

Abstract

The average annual daily traffic (AADT) for a road section is obtained by calculating the annual average of the number of vehicles on the section, in all directions, over the course of a day. As the original 2019 French dataset contained errors on the ratio_PL variable, this dataset is the corrected version, accompanied by an R notebook documenting the corrective treatments applied. The tmja-2019-corrige.gpkg dataset was produced in order to be able to map heavy goods vehicle road flows in 2019.

Suggested Citation

  • Nicolas Roelandt & François Combes & Vincent Robin & Lucie Letrouit & Martin Koning, 2025. "Average annual daily traffic on the national road network 2019 - corrected data [Données Trafic moyen journalier annuel de 2019 Description et correction des données Poids lourds]," Working Papers hal-05121480, HAL.
    • Handle: RePEc:hal:wpaper:hal-05121480
    Note: View the original document on HAL open archive server: https://univ-eiffel.hal.science/hal-05121480v1
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