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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2020-05-01
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Online Access: | http://journals.openedition.org/cybergeo/34767 |
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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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