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9 results on '"Arnaud Banos"'

1. List of contributors

Author

Patrícia Abrantes, Marion Amalric, Brice Anselme, Arnaud Banos, Elise Beck, Nicolas Becu, Inês Boavida-Portugal, Katažyna Bogdzevič, Igor Bogunovic, Calum Brown, Michael Buxton, Nidia Cabrera, Freddy Lemay Cámara-García, Arijit Das, Manob Das, Nicholas Dendoncker, David García-Álvarez, Eduardo Gomes, Roberto González-Sousa, Gabriel Greco, Sascha Holzhauer, Miguel Inacio, Marius Kalinauskas, Ahmed Laatabi, Simone Zarpelon Leao, Ashis Mandal, Facundo Martín, Juan F. Martínez-Murillo, Amélie Monfort, Darren Moseley, Paulo Pereira, Christopher J. Pettit, Cécilia Pignon-Mussaud, Anton Pijl, Carlos Quintana-Cortina, Ricardo Remond-Noa, Derek T. Robinson, Jorge Rocha, Facundo Rojas, Mark D.A. Rounsevell, Cecilia Rubio, Fernanda Rubio, María Clara Rubio, Romina Sales, Paolo Tarolli, Hedwig Van Delden, Jasper van Vliet, Luis Verdugo, Cláudia M. Viana, Gregor Vulturius, Siqi Yang, and Wenwu Zhao

Published
2022
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3. Multiscale Modeling: Application to Traffic Flow

Author

Nathalie Corson, Arnaud Banos, Patrick Taillandier, Christophe Lang, Nicolas Marilleau, CNRS, Géographie-Cités, Partenaires INRAE, Université du Havre Laboratoire de Mathématiques Appliquées du Havre UFR Sciences et Techniques, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Institut de Recherche pour le Développement (IRD [France-Nord])-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Sorbonne Université (SU), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Banos, A. (ed.), Lang, C. (ed.), and Marilleau, Nicolas (ed.)

Subjects
Engineering, 010504 meteorology & atmospheric sciences, Relation (database), ANALYSE SPATIALE, LANGAGE DE PROGRAMMATION, 0207 environmental engineering, 02 engineering and technology, 01 natural sciences, Microscopic traffic flow model, TRANSPORT ROUTIER, [INFO]Computer Science [cs], Statistical physics, [MATH]Mathematics [math], 020701 environmental engineering, Simulation, 0105 earth and related environmental sciences, Mesoscopic physics, INFORMATIQUE SCIENTIFIQUE, business.industry, Diagram, Traffic flow, MODELISATION, Multiscale modeling, Field (geography), Structural relation, business
Abstract

International audience; Traffic modeling is a particularly active field, the origins of which can be traced back to the pioneering work of Greenshield in the 1930s. Greenshield was the first to formulate a structural relation between the speed of vehicles on a road and the distance between them. This relation between the flow rate/density, at the heart of the so-called fundamental diagram, has been used by all families of traffic flow models developed ever since. These families of models can be grouped into three distinct but strongly interconnected subcategories: macroscopic models, which consider flows of vehicles, microscopic models, which consider individual vehicles and their interactions, and mesoscopic models, which lie in between the other two categories.

Published
2017
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5. Macro Models, Micro Models and Network-based Coupling

Author

Arnaud Banos, Eric Daudé, Sébastien Rey-Coyrehourcq, Benoit Gaudou, and Nathalie Corson

Subjects
education.field_of_study, Theoretical computer science, Operations research, NetLogo, Aggregate (data warehouse), Population, System of linear equations, Set (abstract data type), Geography, Coupling (computer programming), Macro, education, Epidemic model, computer, computer.programming_language
Abstract

In this chapter, we will discuss coupling models with different scales to describe the propagation of a virus within a population. This population is distributed throughout a set of cities connected by airline routes. Population movements between cities enable the virus to travel, carried by infected individuals. In each city, the description of virus propagation is based on an SIR-type model (presented in more detail). The first model, called EpiSim, is presented, first in its aggregate variant, and then in its individual-based variant. Comparing these two approaches will allow us to discuss the advantages and limitations of each of them. In the second section, we will present two approaches for coupling models based on networks. The first approach considers a network of coupled systems of equations. The second combines an agent-based model of microscale components with a model of macroscale components based on systems of equations. This coupled model, called MicMac, is presented in more detail. The added value of micro/macro coupling is examined in the article.

Published
2017
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7. List of Authors

Author

Stefan Balev, Arnaud Banos, Philippe Caillou, Nathalie Corson, Éric Daude, Antoine Dutot, Benoit Gaudou, Christophe Lang, Nicolas Marilleau, Jean-Marc Nicod, Damien Olivier, Sébastien Rey Coyrehourcq, Guilhelm Savin, and Patrick Taillandier

Published
2017
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8. Agent-based spatial simulation with NetLogo : volume 1 : introduction and bases

Author

Nicolas Marilleau, Benoit Gaudou, Philippe Caillou, Arnaud Banos, Identités et Différenciation de l'Environnement des Espaces et des Sociétés (IDEES), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Systèmes Multi-Agents Coopératifs (IRIT-SMAC), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Institut de Recherche pour le Développement (IRD [France-Nord])-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Sorbonne Université (SU), Arnaud Banos, Christophe Lang, Nicolas Marilleau, Banos, A. (ed.), Lang, C. (ed.), Marilleau, Nicolas (ed.), Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés (IDEES), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)-Sorbonne Université (SU)-Institut de Recherche pour le Développement (IRD [France-Nord]), Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Machine Learning and Optimisation (TAO), Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris-Sud - Paris 11 (UP11)-Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Universtié Yaoundé 1 [Cameroun]-Université Cadi Ayyad [Marrakech] (UCA), and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Engineering, Human/mosquito interaction network, Theoretical computer science, Stadium evacuation simulation, Stochastic modelling, NetLogo, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Lead (geology), Histogram, Dynamic graphs, computer.programming_language, Agent-based model, business.industry, XY-plots, Inverse problem, NetLogo’s BehaviorSpace, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Multi Agent Simulation and Modelling, model exploration, Stochastic models, Mapping spatial variables, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Simulation model, Graph (abstract data type), Artificial intelligence, business, computer
Abstract

International audience; The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created. For example, we could look to study the rate of infection resulting from certain parameter values. The use and study of a model is nonetheless as complex as its creation. As such, using our model, we could launch the simulation with standard initial parameters (say 300 humans, 500 mosquitoes, a contamination distance of 5 and a work–home distance of 500), and we would obtain the graph indicating no infection beyond the source mosquito, which would lead us to conclude that these parameters lead to no infections. However, upon relaunching the simulation with the exact same values, we might obtain the graph with the infection present in almost 100% of individuals after 1,000 iterations.

Published
2015
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9. List of Authors

Author

Frédéric Amblard, Arnaud Banos, Nicolas Becu, Fabrice Bouquet, Nicolas Brax, Philippe Caillou, Sébastien Chipeaux, Nathalie Corson, Eric Daudé, Benoît Gaudou, Arnaud Grignard, Guillaume Hutzler, Christophe Lang, Nicolas Marilleau, Claude Monteil, Jean-Marc Nicod, Damien Olivier, David Sheeren, and Patrick Taillandier

Published
2015
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