0000000000934209

AUTHOR

Nicolas Marilleau

showing 18 related works from this author

Marrakair: une simulation participative pour observer les émissions atmosphériques du trafic routier en milieu urbain

2017

National audience; D’après l’Organisation Mondiale de la Santé (OMS), la pollution de l’air est le principal risque environnemental pour la santé dans le monde 1 (OMS, 2013). Àl’échelle locale, la pollution atmosphérique agit sur quelques kilomètres et se manifeste à proximité des sources de pollution comme la proximité aux sites industriels. En milieu urbain, le premier contributeur aux émissions de NOx, CO, ou PM10 dans l’atmosphère est le trafic routier (CITEPA, 2014). La pollution atmosphérique automobile (PAA) se caractérise en effet par l’émission de composés toxiques et cancérigènes directement émis par les moteurs. L’intensité des émissions est à relier au nombre de véhicules présen…

Simulation participativeTrafic routier[SHS.GEO] Humanities and Social Sciences/GeographySimu- lation multi-agentsPollution atmosphérique automobile[SHS.GEO]Humanities and Social Sciences/GeographyCapteurs urbains[ SHS.GEO ] Humanities and Social Sciences/Geography
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Simuler la mobilité urbaine quotidienne : le projet MIRO

2010

mobilité quotidienne[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/Geographymodélisation multi-agentssimulation[ SHS.GEO ] Humanities and Social Sciences/Geography
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La Qualité de l’air en ville à Très haute Résolution (Quali_ThR): Apport des images Pléiades dans la démarche SCAUP ?

2017

International audience

[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geography
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L’apport de la simulation multi-agent du trafic routier pour l’estimation des pollutions atmosphériques automobiles

2015

National audience; La pollution atmosphérique est aujourd’hui considérée comme cancérigène pour la santé humaine (OMS, 2013). Avec le bruit, elle est l’une des premières nuisances directement ressenties par les populations en milieu urbain. Son évaluation présente un véritable enjeu pour les pouvoirs publics afin de mieux en identifier ses sources, ses impacts en vue de définir des politiques territoriales (PDU, cadastre d’émission). A l’échelle locale, la pollution atmosphérique est à relier directement à l’intensité des sources d’émissions qui vont accentuer, ou non, la qualité de l’air extérieure (Elichegaray, 2010) . En milieu urbain, le premier contributeur en émission de NOx, CO, ou P…

modélisation des flux de transport routier[SHS.GEO] Humanities and Social Sciences/GeographyPollution atmosphérique de proximité[SHS.GEO]Humanities and Social Sciences/Geographysimulation multi-agentcomptage routier[ SHS.GEO ] Humanities and Social Sciences/Geography
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MIRO : des trajectoires individuelles à la ville en mouvement

2010

Mobilité quotidienne[SHS.GEO] Humanities and Social Sciences/Geographysimulation urbaine[SHS.GEO]Humanities and Social Sciences/Geographymodélisation multi-agents[ SHS.GEO ] Humanities and Social Sciences/Geography
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A spatially explicit model to simulate soil microbial communities’ dynamics at an agricultural landscape scale

2021

Soil microorganisms play a major role in soil functions and are an efficient indicator to evaluate the impact of agricultural practices on soil quality. Biogeographical studies over wide scales ranging from landscape to countries have concluded that soil microbial abundance and soil prokaryotic richness is following a heterogeneous distribution in space under the dependence of soil properties (e.g. pH, soil texture, organic matter content) and agricultural practices. The goal of this study is the creation of a model that can predict dynamics of soil microbial communities depending on the agricultural management over time. For this, we focus on a monitored landscape (Fénay landscape, 1.200 h…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Agent-based modelAgricultural landscapeParticipatory[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSoil microbial communities
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Du comptage ponctuel à l'affectation par simulation multi-agents : application à la circulation routière de la ville de Dijon

2014

A travers une démarche expérimentale de simulation de la circulation routière pour estimer les pollutions atmosphériques en milieu urbain, cette proposition questionne les opportunités qu'offre la simulation multi-agents pour intégrer des données d'observations du trafic routier au sein d'un système d'information géographique. Pour cela, la construction du modèle d'affectation s'est faite en deux étapes : une première, d'acquisition et de structuration des données de comptages et une seconde visant à interfacer ces données au sein d'une plateforme de simulation multi-agents pour en reproduire la variabilité intra journalière et la fréquentation routière.

TRAITEMENT DE DONNEESSYSTEME D'INFORMATION GEOGRAPHIQUEACQUISITION DE DONNEES[SHS.GEO] Humanities and Social Sciences/GeographyDijonINTELLIGENCE ARTIFICIELLE[SHS.GEO]Humanities and Social Sciences/GeographyATMOSPHEREsimulation multi-agents[ SHS.GEO ] Humanities and Social Sciences/GeographyINTERFACEPOLLUTIONTRANSPORT URBAINSIMULATIONTRANSPORT ROUTIERcomptageSYSTEME MULTIAGENTVARIATION JOURNALIEREComputingMilieux_MISCELLANEOUS
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An agent-based model of a cutaneous leishmaniasis reservoir host, Meriones shawi

2021

International audience; Meriones shawi (M.shawi) is the main reservoir host for zoonotic cutaneous leishmaniasis (ZCL) in Central Tunisia. The incorporation of environmental and climatic effects on the spread of ZCL in M. shawi remains difficult. This study presents an agent-based model (ABM) to overcome these difficulties and examine the impact of environment (i.e. vegetation cover) and climate (i.e. temperature) on M. shawi movement and prevalence. The model simulation considers two agent types: rodent agent and field unit agent. We tested the model according to two types of rodent movement: random and thoughtful. We integrated time dependent normalized difference vegetation index (NDVI) …

2. Zero hunger0106 biological sciencesAgent-based model[SDV.EE]Life Sciences [q-bio]/Ecology environmentMeriones shawibiologyEcology010604 marine biology & hydrobiologyEcological ModelingLand covermedicine.diseasebiology.organism_classification010603 evolutionary biology01 natural sciencesNormalized Difference Vegetation IndexVegetation coverCutaneous leishmaniasis13. Climate actionModel simulationmedicineZoonotic cutaneous leishmaniasis[SDE.BE]Environmental Sciences/Biodiversity and Ecology
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Exploitation of traffic counting data for traffic study in urban areas: from traffic assignment to simulation model validation

2013

International audience

assignment models[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/Geographyqualificationstatistical modelsComputingMilieux_MISCELLANEOUStraffic dataurban transport model[ SHS.GEO ] Humanities and Social Sciences/Geography
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From the Household Survey to an Individual activity Program : a MAS approach

2006

International audience

[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geography
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Coupling agent-based with equation-based models to study spatially explicit megapopulation dynamics

2018

International audience; The incorporation of the spatial heterogeneity of real landscapes into population dynamics remains extremely difficult. We propose combining equation-based modelling (EBM) and agent-based modelling (ABM) to overcome the difficulties classically encountered. ABM facilitates the description of entities that act according to specific rules evolving on various scales. However, a large number of entities may lead to computational difficulties (e.g., for populations of small mammals, such as voles, that can exceed millions of individuals). Here, EBM handles age-structured population growth, and ABM represents the spreading of voles on large scales. Simulations applied to t…

0106 biological sciencesHybrid modellingTheoretical computer scienceComputer sciencePopulation[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010603 evolutionary biology01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Travelling waveArvicolaPopulation growtheducation[SDV.EE]Life Sciences [q-bio]/Ecology environmenteducation.field_of_studySpatial contextual awareness010604 marine biology & hydrobiologyEcological ModelingDispersal15. Life on land[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpatial heterogeneityCoupling (computer programming)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Biological dispersalMontane ecology[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][SDE.BE]Environmental Sciences/Biodiversity and EcologyHybrid modelHybrid modelEcological Modelling
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Temporal dynamics of soil bacterial communities at a landscape scale: dependence to soil properties and agricultural practices.

2019

International audience; Soil microbial communities play a major role in agricultural functions and are an efficient indicator to evaluate the impacts of agricultural practices on soils. Studies on wide scales ranging from landscape to countries demonstrated that soil microbial communities were heterogeneously distributed in space under the dependence of soil properties (e.g. pH, soil texture, Organic matter Content) and agricultural practices. However, temporal dynamics of soil microbial communities at a landscape scale still need to be documented in order to go further in evaluating the sustainability of agricultural practices. In this extensive monitoring study, we focused on landscape dy…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmonitoring[SDV]Life Sciences [q-bio][SDE]Environmental Sciencessoil microbial communities[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologynext-generation sequençingagricultturelandscape
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Exploring activities for simulating everyday rythms and routines in french urban areas

2006

International audience

[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geography
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Studying and modelling soil microbial communities dynamics at a landscape scale in response to agricultural practices

2019

Soil microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This will use a multi-d…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modelling[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyagricultural practices[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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La démarche de modélisation SCAUP : Simulation multi-agents à partir de CApteurs Urbains pour la Pollution atmosphérique automobile.

2017

Pollution atmosphérique[SHS.GEO] Humanities and Social Sciences/GeographySimulation multi agent
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Représentation dynamique et visualisation interactive des mobilités quotidiennes à l’échelle de la ville

2007

International audience

[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statistics[INFO]Computer Science [cs][SHS.GEO]Humanities and Social Sciences/Geography[INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS
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Studying and modelling the dynamics of soil microbial communities at a landscape scale in response to agricultural practices

2019

National audience; Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modellingagricultural practice[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Concevoir des agents pour simuler les dynamiques urbaines. De l’enquête ménage à la génération de programmes d’activités

2006

International audience

[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statistics[INFO]Computer Science [cs][SHS.GEO]Humanities and Social Sciences/Geography[INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS
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