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Hauptverfasser: Azaïs, Romain, Marion, Adrien, Patout, Florian
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2605.13742
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author Azaïs, Romain
Marion, Adrien
Patout, Florian
author_facet Azaïs, Romain
Marion, Adrien
Patout, Florian
contents This paper develops a macroscopic, activity-based model of urban active mobility using nonintrusive sensor data. It introduces attendance functions to describe spatio-temporal travel patterns between activities and formulates the disaggregation of aggregated counts as a statistical inference problem. Counts are modeled as Poisson variables, and unknown subpopulation sizes are estimated via maximum likelihood, with theoretical guarantees and an efficient EM algorithm for computation. Grounded in a microscopic stochastic model, the framework offers a scalable and privacy-preserving approach to analyzing urban soft mobility dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2605_13742
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Macroscopic Activity-Based Modeling of Urban Active Mobility
Azaïs, Romain
Marion, Adrien
Patout, Florian
Methodology
Applications
This paper develops a macroscopic, activity-based model of urban active mobility using nonintrusive sensor data. It introduces attendance functions to describe spatio-temporal travel patterns between activities and formulates the disaggregation of aggregated counts as a statistical inference problem. Counts are modeled as Poisson variables, and unknown subpopulation sizes are estimated via maximum likelihood, with theoretical guarantees and an efficient EM algorithm for computation. Grounded in a microscopic stochastic model, the framework offers a scalable and privacy-preserving approach to analyzing urban soft mobility dynamics.
title Macroscopic Activity-Based Modeling of Urban Active Mobility
topic Methodology
Applications
url https://arxiv.org/abs/2605.13742