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

Nicolas Roelandt (), François Combes (), Vincent Robin, Lucie Letrouit () and Martin Koning ()
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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

Working Papers from HAL

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.

Keywords: Open data; Transport; Trafic routier (search for similar items in EconPapers)
Date: 2025-06-19
Note: View the original document on HAL open archive server: https://univ-eiffel.hal.science/hal-05121480v1
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