Publications des scientifiques de l'IRD

Emery J., Marilleau Nicolas, Martiny N., Thevenin T. (2020). Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile = The SCAUP model : multi-agent simulation from Urban sensors for traffic air pollution. Cybergeo, p. art. 944 [23 p.]. ISSN 1278-3366.

Titre du document
Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile = The SCAUP model : multi-agent simulation from Urban sensors for traffic air pollution
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000549767100026
Auteurs
Emery J., Marilleau Nicolas, Martiny N., Thevenin T.
Source
Cybergeo, 2020, p. art. 944 [23 p.] ISSN 1278-3366
This paper presents the SCAUP model (Multi-Agents Simulation from Urban sensors data for traffic Air Pollution). SCAUP aims at simulating a road traffic based on a data-driven approach in order to be close to observation on a wide set of theoretical road network. The data used in SCAUP are based on automatic traffic counting measurements done by electromagnetic loop sensors. The purpose of the proposed agent-based model is to simulate road traffic at the scale of a theoretical and controlled road network. In this paper, we present an overview of the sets of parameters, the overall simulation process and its analysis tests, in order to evaluate the SCAUP capacities to simulate a traffic flow pattern with two main input data: road network and traffic counting data.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Pollution [038] ; Economie : secteurs d'activité [096] ; Urbanisation et sociétés urbaines [102]
Localisation
Fonds IRD [F B010079359]
Identifiant IRD
fdi:010079359
Contact