Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile

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...

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Main Authors: Justin Emery, Nicolas Marilleau, Nadège Martiny, Thomas Thévenin
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 2020-05-01
Series:Cybergeo
Subjects:
Online Access:http://journals.openedition.org/cybergeo/34767
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spelling doaj-5ce48dc2be7a440989d3d79cbce77dd32020-11-25T03:04:27ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662020-05-0110.4000/cybergeo.34767Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobileJustin EmeryNicolas MarilleauNadège MartinyThomas ThéveninThis 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.http://journals.openedition.org/cybergeo/34767multi-agent simulationtrafficurban transportationdataintra-urban modelling
collection DOAJ
language deu
format Article
sources DOAJ
author Justin Emery
Nicolas Marilleau
Nadège Martiny
Thomas Thévenin
spellingShingle Justin Emery
Nicolas Marilleau
Nadège Martiny
Thomas Thévenin
Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
Cybergeo
multi-agent simulation
traffic
urban transportation
data
intra-urban modelling
author_facet Justin Emery
Nicolas Marilleau
Nadège Martiny
Thomas Thévenin
author_sort Justin Emery
title Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
title_short Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
title_full Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
title_fullStr Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
title_full_unstemmed Le modèle SCAUP : Simulation multi-agents à partir de données de CApteurs Urbains pour la Pollution atmosphérique automobile
title_sort le modèle scaup : simulation multi-agents à partir de données de capteurs urbains pour la pollution atmosphérique automobile
publisher Unité Mixte de Recherche 8504 Géographie-cités
series Cybergeo
issn 1278-3366
publishDate 2020-05-01
description 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.
topic multi-agent simulation
traffic
urban transportation
data
intra-urban modelling
url http://journals.openedition.org/cybergeo/34767
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