Use of Origin-Destination data for calibration and spatialization of synthetic travel demand - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Use of Origin-Destination data for calibration and spatialization of synthetic travel demand

Résumé

The dynamics of urban transportation can be understood with activity-based models, which rely on synthetic travel demand data to get a comprehensive understanding of urban mobility. These data are usually derived from small population samples and surveys, which may be expensive and do not adequately cover the spatial trajectories of the users. In this paper, we explore the use of a time-dependent origin-destination (OD) matrix derived from mobile phone data for the attribution of locations in a synthetic population for the city of Lyon, France. OD matrix data can also mitigate uncertainties or outdated information in travel surveys regarding flows by time of day and between zones. The resulting population enrichment is measured in terms of fit to the input mobility data.
Fichier principal
Vignette du fichier
heart_paper_Matet.pdf (990.39 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Licence : Copyright (Tous droits réservés)

Dates et versions

hal-04201484 , version 1 (10-09-2023)

Identifiants

  • HAL Id : hal-04201484 , version 1

Citer

Benoît Matet, Etienne Côme, Angelo Furno, Sebastian Hörl, Latifa Oukhellou. Use of Origin-Destination data for calibration and spatialization of synthetic travel demand. hEART'23. 11th Symposium of the European Association for Research in Transportation, Sep 2023, Zurich (CH), Switzerland. ⟨hal-04201484⟩
164 Consultations
93 Téléchargements

Partager

Gmail Facebook X LinkedIn More