Nicolas VERSTAEVEL

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Libre accès

Documents

Affiliations actuelles

396069

Identifiants chercheurs

nicolas-verstaevel
0000-0002-7879-6681
IdRef : 201663597

Publications

	HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation Huu-Tu Dang , Benoit Gaudou , Nicolas Verstaevel Sensors, 2024, 24 (5: Special Issue Advances in Agents and Multiagent Systems for Sensor Applications), pp.1639. ⟨10.3390/s24051639⟩ Article dans une revue hal-04486999v1
	Deciding when to Quit the Gambler's Ruin Game with Unknown Probabilities Filipo Studzinski Perotto , Imen Trabelsi , Stéphanie Combettes , Valérie Camps , Elsy Kaddoum International Journal of Approximate Reasoning, 2021, 137, pp.16-33. ⟨10.1016/j.ijar.2021.06.013⟩ Article dans une revue hal-03284848v1
	Disaster informatics: An overview R.I. Ogie , Nicolas Verstaevel Progress in Disaster Science, 2020, 7, pp.100111. ⟨10.1016/j.pdisas.2020.100111⟩ Article dans une revue hal-02867456v1
	Assessing the effects of mobility on air quality: The Liverpool Smart Pedestrian project Nicolas Verstaevel , Johan Barthélemy , Hugh Forehead , Bilal Arshad , Pascal Perez Transportation Research Procedia, 2020, 48, pp.2197-2206. ⟨10.1016/j.trpro.2020.08.276⟩ Article dans une revue hal-02941780v1
	Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors Hugh Forehead , Johan Barthelemy , Bilal Arshad , Nicolas Verstaevel , Owen Price PLoS ONE, 2020, 15 (4), pp.e0231778. ⟨10.1371/journal.pone.0231778⟩ Article dans une revue hal-02871086v1
	Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review Bilal Arshad , Robert Ogie , Johan Barthelemy , Biswajeet Pradhan , Nicolas Verstaevel Sensors, 2019, 19 (22), pp.5012. ⟨10.3390/s19225012⟩ Article dans une revue hal-02871089v1
	Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City Johan Barthélemy , Nicolas Verstaevel , Hugh Forehead , Pascal Perez Sensors, 2019, 19 (9), pp.2048. ⟨10.3390/s19092048⟩ Article dans une revue hal-03108201v1
	Principles and Experimentations of Self-Organizing Embedded Agents Allowing Learning From Demonstration in Ambient Robotics Nicolas Verstaevel , Christine Régis , Marie-Pierre Gleizes , Fabrice Robert Future Generation Computer Systems, 2016, vol. 64, pp. 78-87. ⟨10.1016/j.future.2016.03.023⟩ Article dans une revue hal-01530401v1

	Multi-Agent modelling of Dense cRowd dynAmicS (MADRAS): Application to the Festival of Lights (Lyon) Mohcine Chraibi , Jakob Cordes , Huu-Tu Dang , Oscar Dufour , Benoit Gaudou 11th International Conference on Pedestrian and Evacuation Dynamics (PED2023), Eindhoven University of Technology, Jun 2023, Eindhoven, Netherlands Communication dans un congrès hal-04140290v1
	TTC-SLSTM: Human trajectory prediction using time-to-collision interaction energy Huu-Tu Dang , Raphael Korbmacher , Antoine Tordeux , Benoit Gaudou , Nicolas Verstaevel 15th IEEE International Conference on Knowledge and Systems Engineering (KSE 2023), Academy of Cryptography Techniques (ACT); VNU University of Engineering and Technology (VNU-UET); IEEE, Oct 2023, Hanoi, Vietnam. pp.1-6, ⟨10.1109/KSE59128.2023.10299443⟩ Communication dans un congrès hal-04251961v1
	A multi-level density-based crowd simulation architecture Huu-Tu Dang , Benoit Gaudou , Nicolas Verstaevel 21st International Conference on Practical Applications of Agents and multi-agents systems (PAAMS 2023), Jul 2023, Guimarães, Portugal. pp.64-75, ⟨10.1007/978-3-031-37616-0_6⟩ Communication dans un congrès hal-04104250v1
	Cooperation-based search of global optima Damien Vergnet , Elsy Kaddoum , Nicolas Verstaevel , Frédéric Amblard 5th International Conference in Optimization and Learning (OLA 2022), Jul 2022, Syracuse, Italy. pp.105-116, ⟨10.1007/978-3-031-22039-5_9⟩ Communication dans un congrès hal-03778834v1
	Differences in pedestrian trajectory predictions for high- and low-density situations Raphael Korbmacher , Huu-Tu Dang , Antoine Tordeux , Benoit Gaudou , Nicolas Verstaevel 14th International Conference on Traffic and Granular Flow (TGF 2022), Oct 2022, Dehli, India Communication dans un congrès hal-03793751v1
	Recherche coopérative d'optimum global Damien Vergnet , Elsy Kaddoum , Nicolas Verstaevel , Frédéric Amblard 20èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), Jun 2022, Saint-Etienne, France. pp.92-98 Communication dans un congrès hal-03765420v1
	Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform Huu-Tu Dang , Benoit Gaudou , Nicolas Verstaevel 2nd conference GAMA Days 2022, Jun 2022, Online, France Communication dans un congrès hal-03724095v1
	An Affordance-Based Multi-Agent Simulation to Constrain Emergence Benoît Doussin , Nicolas Verstaevel , Benoit Gaudou , Elsy Kaddoum , Frédéric Amblard 2nd conference GAMA Days 2022, Jun 2022, Online, France Communication dans un congrès hal-03724857v1
	Une Simulation Multi-Agent Basée sur l'Affordance pour Contraindre l'Emergence Benoît Doussin , Nicolas Verstaevel , Benoit Gaudou , Elsy Kaddoum , Frédéric Amblard Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), AFIA, Jun 2022, Saint-Etienne, France. pp.77-83 Communication dans un congrès hal-03725040v1
	An ensemble Multi-Agent System for non-linear classification Thibault Fourez , Nicolas Verstaevel , Frédéric Migeon , Frédéric Schettini , Frédéric Amblard 14th ITS European Congress (ITS EU 2022), May 2022, Toulouse, France. pp.1-12 Communication dans un congrès hal-03776269v1
	How to solve a classification problem using a cooperative tiling Multi-Agent System? Thibault Fourez , Nicolas Verstaevel , Frédéric Migeon , Frédéric Schettini , Frédéric Amblard 20th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2022), Jul 2022, L'Aquila, Italy. pp.166-178, ⟨10.1007/978-3-031-18192-4_14⟩ Communication dans un congrès hal-03776374v1
	A modular framework for multi-behavior and multi-scale simulation of pedestrians Huu-Tu Dang , Benoit Gaudou , Nicolas Verstaevel 2nd conference GAMA Days 2022, Jun 2022, Online, France Communication dans un congrès hal-03724389v1
	Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations Raphael Korbmacher , Huu-Tu Dang , Antoine Tordeux , Benoit Gaudou , Nicolas Verstaevel 2nd conference GAMA Days 2022, Jun 2022, Online, France Communication dans un congrès hal-03724607v1
	Auto-calibration adaptative de modèles de simulation de trafic par système multi-agent Damien Vergnet , Frédéric Amblard , Elsy Kaddoum , Nicolas Verstaevel 3èmes Rencontres Francophones Transport Mobilité (RFTM 2021), Jun 2021, Marne-la-Vallée, France Communication dans un congrès hal-03619052v1
	An ABM to support collective reflection on the evolution of mobility Franck Taillandier , Carole Adam , Frédéric Amblard , Jean-Philippe Antoni , C Baudrit GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Online, France Communication dans un congrès hal-03462663v1
	Toward phygital agent-based interactive simulations to support urban planning Gary Perelman , Frédéric Amblard , Emmanuel Dubois , Benoit Gaudou , Elsy Kaddoum 6th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS @ AAMAS 2021), May 2021, London (Virtual), United Kingdom. pp.36-40 Communication dans un congrès hal-03226686v1
	Traffic model adaptive self-calibration using multi-agent systems Damien Vergnet , Frédéric Amblard , Elsy Kaddoum , Nicolas Verstaevel 1st conference GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Toulouse (Online), France Communication dans un congrès hal-03496866v1
	An Agent-Based Model for a participatory network of air quality sensors on bicycles Nathan Coisne , Jean-François Léon , Nicolas Verstaevel , Benoit Gaudou , Elsy Kaddoum GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Online, France Communication dans un congrès hal-03462654v1
	Evaluating Correlations in IoT Sensors for Smart Buildings Davide Guastella , Nicolas Verstaevel , Cesare Valenti , Bilal Arshad , Johan Barthélemy 13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, Netherlands. pp.224-231, ⟨10.5220/0010210502240231⟩ Communication dans un congrès hal-03228685v1
	Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation Jean-François Erdelyi , Frédéric Amblard , Benoit Gaudou , Elsy Kaddoum , Nicolas Verstaevel 22nd International Workshop on Multi-Agent-Based Simulation (MABS 2021), May 2021, Londres (virtuel), United Kingdom. pp.153-167, ⟨10.1007/978-3-030-94548-0_12⟩ Communication dans un congrès hal-03533146v1
	Simulating the transition of mobility toward smart and sustainable cities Jean-François Erdelyi , Carole Adam , Benoit Gaudou , Franck Taillandier , Nicolas Verstaevel 6th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS @ AAMAS 2021), May 2021, London (virtual), United Kingdom. pp.41-45 Communication dans un congrès hal-03226687v1
	Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora Filipo Studzinski Perotto , Nicolas Verstaevel , Imen Trabelsi , Laurent Vercouter 40th SGAI International Conference on Artificial Intelligence, AI 2020, Dec 2020, Cambridge, United Kingdom. pp.317-330, ⟨10.1007/978-3-030-63799-6_24⟩ Communication dans un congrès hal-03108194v1
	A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People Nicolas Verstaevel , Jean-Pierre Georgé , Carole Bernon , Marie-Pierre Gleizes 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018), Sep 2018, Trento, Italy. pp.70-79, ⟨10.1109/SASO.2018.00018⟩ Communication dans un congrès hal-02191803v1
	An Ontology Based Context-Aware Architecture for Smart Campus Applications Nicolas Verstaevel , Guillaume Garzone , Thierry Monteil , Nawal Guermouche , Johan Barthelemy IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018), IEEE, Dec 2018, Melbourne, Australia. pp.1056-1063, ⟨10.1109/BDCloud.2018.00158⟩ Communication dans un congrès hal-03108205v1
	Smart is a matter of context Julien Nigon , Nicolas Verstaevel , Jérémy Boes , Frédéric Migeon , Marie-Pierre Gleizes 10th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2017), Jun 2017, Paris, France. pp.189-202, ⟨10.1007/978-3-319-57837-8_15⟩ Communication dans un congrès hal-01740025v1
	From Smart Campus to Smart Cities: Issues of the Smart Revolution Nicolas Verstaevel , Jérémy Boes , Marie-Pierre Gleizes 2nd Workshop on Smart and Sustainable Cities (WSSC 2017) in association with the IEEE Smart World Congress 2017, Jul 2017, San Francisco Bay, United States. pp.1-6, ⟨10.1109/UIC-ATC.2017.8397400⟩ Communication dans un congrès hal-01873804v1
	Lifelong Machine Learning with Adaptive Multi-Agent Systems Nicolas Verstaevel , Jérémy Boes , Julien Nigon , Dorian d'Amico , Marie-Pierre Gleizes 9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Feb 2017, Porto, Portugal. pp.275-286, ⟨10.5220/0006247302750286⟩ Communication dans un congrès hal-01712545v1
	Impact of eco-feedback on the behavior of campus users Paul Piché , Elhadi Belghache , Nicolas Verstaevel , Bérangère Lartigue 2nd Workshop on Smart and Sustainable Cities (WSSC 2017) in association with the IEEE Smart World Congress 2017, Aug 2017, San Francisco, United States. pp.1-6, ⟨10.1109/UIC-ATC.2017.8397401⟩ Communication dans un congrès hal-03108211v1
	A Distributed User-Centered Approach For Control in Ambient Robotic Nicolas Verstaevel , Christine Régis , Marie-Pierre Gleizes , Fabrice Robert 8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, Toulouse, France Communication dans un congrès hal-01258418v1
	The Self-Adaptive Context Learning Pattern: Overview and Proposal Jérémy Boes , Julien Nigon , Nicolas Verstaevel , Marie-Pierre Gleizes , Frédéric Migeon 9th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2015), Nov 2015, Larnaca, Cyprus. pp. 91-104, ⟨10.1007/978-3-319-25591-0_7⟩ Communication dans un congrès hal-01342997v1
	Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotic Nicolas Verstaevel , Christine Régis , Marie-Pierre Gleizes , Fabrice Robert 6th International Conference on Ambient Systems, Networks and Technologies (ANT 2015), Jun 2015, London, United Kingdom. pp.194-201, ⟨10.1016/j.procs.2015.05.056⟩ Communication dans un congrès hal-01387728v1
	Extreme Sensitive Robotic A Context-Aware Ubiquitous Learning Nicolas Verstaevel , Christine Régis , Valérian Guivarch , Marie-Pierre Gleizes , Fabrice Robert International Conference on Agents and Artificial Intelligence (ICAART 2015), Jan 2015, Lisbonne, Portugal. pp.242--248, ⟨10.5220/0005282002420248⟩ Communication dans un congrès hal-03190209v1
	Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations Nicolas Verstaevel , Christine Régis , Marie-Pierre Gleizes , Fabrice Robert Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2015), Jun 2015, Rennes, France. pp.159-168 Communication dans un congrès hal-04079535v1

	Empirical analysis on external factors affecting pedestrian dynamics in high-density situations Huu-Tu Dang , Benoit Gaudou , Nicolas Verstaevel 11th International Conference on Pedestrian and Evacuation Dynamics (PED 2023), Jun 2023, Eindhoven, Netherlands. Poster de conférence hal-04140287v1

	Proceedings of GAMA days 2022 Carole Adam , Franck Taillandier , Léo Biré , Quynh Nga Phung , Diep Anh Phung GAMA days 2022, 2022 Proceedings/Recueil des communications ird-04179579v1

	Multi-Agent-Based Simulation XXII: 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers Nicolas Verstaevel , Koen van Dam Koen H. Van Dam; Nicolas Verstaevel. Springer International Publishing, 13128, 195 p., 2022, Lecture Notes in Computer Science book series (LNCS), 978-3-030-94547-3. ⟨10.1007/978-3-030-94548-0⟩ Ouvrages hal-03533140v1

	Transport Mode Detection on GPS and accelerometer data: a temporality based workflow Thibault Fourez , Nicolas Verstaevel , Frédéric Migeon , Frédéric Schettini , Frédéric Amblard 2023 Pré-publication, Document de travail hal-04210285v1

Nicolas VERSTAEVEL

Publications

HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation

Deciding when to Quit the Gambler's Ruin Game with Unknown Probabilities

Disaster informatics: An overview

Assessing the effects of mobility on air quality: The Liverpool Smart Pedestrian project

Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

Principles and Experimentations of Self-Organizing Embedded Agents Allowing Learning From Demonstration in Ambient Robotics

Multi-Agent modelling of Dense cRowd dynAmicS (MADRAS): Application to the Festival of Lights (Lyon)

TTC-SLSTM: Human trajectory prediction using time-to-collision interaction energy

A multi-level density-based crowd simulation architecture

Cooperation-based search of global optima

Differences in pedestrian trajectory predictions for high- and low-density situations

Recherche coopérative d'optimum global

Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform

An Affordance-Based Multi-Agent Simulation to Constrain Emergence

Une Simulation Multi-Agent Basée sur l'Affordance pour Contraindre l'Emergence

An ensemble Multi-Agent System for non-linear classification

How to solve a classification problem using a cooperative tiling Multi-Agent System?

A modular framework for multi-behavior and multi-scale simulation of pedestrians

Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations

Auto-calibration adaptative de modèles de simulation de trafic par système multi-agent

An ABM to support collective reflection on the evolution of mobility

Toward phygital agent-based interactive simulations to support urban planning

Traffic model adaptive self-calibration using multi-agent systems

An Agent-Based Model for a participatory network of air quality sensors on bicycles

Evaluating Correlations in IoT Sensors for Smart Buildings

Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation

Simulating the transition of mobility toward smart and sustainable cities

Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora

A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People

An Ontology Based Context-Aware Architecture for Smart Campus Applications

Smart is a matter of context

From Smart Campus to Smart Cities: Issues of the Smart Revolution

Lifelong Machine Learning with Adaptive Multi-Agent Systems

Impact of eco-feedback on the behavior of campus users

A Distributed User-Centered Approach For Control in Ambient Robotic

The Self-Adaptive Context Learning Pattern: Overview and Proposal

Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotic

Extreme Sensitive Robotic A Context-Aware Ubiquitous Learning

Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations

Empirical analysis on external factors affecting pedestrian dynamics in high-density situations

Proceedings of GAMA days 2022

Multi-Agent-Based Simulation XXII: 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers

Transport Mode Detection on GPS and accelerometer data: a temporality based workflow