Publications de Nicolas VERSTAEVEL
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation
Sensors, 2024, 24 (5: Special Issue Advances in Agents and Multiagent Systems for Sensor Applications), pp.1639. ⟨10.3390/s24051639⟩
Filipo Studzinski Perotto, Imen Trabelsi, Stéphanie Combettes, Valérie Camps, Elsy Kaddoum, Nicolas Verstaevel
Deciding when to Quit the Gambler’s Ruin Game with Unknown Probabilities
International Journal of Approximate Reasoning, 2021, 137, pp.16-33. ⟨10.1016/j.ijar.2021.06.013⟩
Disaster informatics: An overview
Progress in Disaster Science, 2020, 7, pp.100111. ⟨10.1016/j.pdisas.2020.100111⟩
Hugh Forehead, Johan Barthelemy, Bilal Arshad, Nicolas Verstaevel, Owen Price, Pascal Perez
Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors
PLoS ONE, 2020, 15 (4), pp.e0231778. ⟨10.1371/journal.pone.0231778⟩
Nicolas Verstaevel, Johan Barthélemy, Hugh Forehead, Bilal Arshad, Pascal Perez
Assessing the effects of mobility on air quality: The Liverpool Smart Pedestrian project
Transportation Research Procedia, 2020, 48, pp.2197-2206. ⟨10.1016/j.trpro.2020.08.276⟩
Johan Barthélemy, Nicolas Verstaevel, Hugh Forehead, Pascal Perez
Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City
Sensors, 2019, 19 (9), pp.2048. ⟨10.3390/s19092048⟩
Bilal Arshad, Robert Ogie, Johan Barthelemy, Biswajeet Pradhan, Nicolas Verstaevel, Pascal Perez
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review
Sensors, 2019, 19 (22), pp.5012. ⟨10.3390/s19225012⟩
Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert
Principles and Experimentations of Self-Organizing Embedded Agents Allowing Learning From Demonstration in Ambient Robotics
Future Generation Computer Systems, 2016, vol. 64, pp. 78-87. ⟨10.1016/j.future.2016.03.023⟩
Huu-Tu Dang, Raphael Korbmacher, Antoine Tordeux, Benoit Gaudou, Nicolas Verstaevel
TTC-SLSTM: Human trajectory prediction using time-to-collision interaction energy
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⟩
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
A multi-level density-based crowd simulation architecture
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⟩
Mohcine Chraibi, Jakob Cordes, Huu-Tu Dang, Oscar Dufour, Benoit Gaudou, Raphael Korbmacher, Alexandre Nicolas, David Rodney, Antoine Tordeux, Nicolas Verstaevel
Multi-Agent modelling of Dense cRowd dynAmicS (MADRAS): Application to the Festival of Lights (Lyon)
11th International Conference on Pedestrian and Evacuation Dynamics (PED2023), Eindhoven University of Technology, Jun 2023, Eindhoven, Netherlands
Raphael Korbmacher, Huu-Tu Dang, Antoine Tordeux, Benoit Gaudou, Nicolas Verstaevel
Differences in pedestrian trajectory predictions for high- and low-density situations
14th International Conference on Traffic and Granular Flow (TGF 2022), Oct 2022, Dehli, India
Damien Vergnet, Elsy Kaddoum, Nicolas Verstaevel, Frédéric Amblard
Cooperation-based search of global optima
5th International Conference in Optimization and Learning (OLA 2022), Jul 2022, Syracuse, Italy. pp.105-116, ⟨10.1007/978-3-031-22039-5_9⟩
Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard
How to solve a classification problem using a cooperative tiling Multi-Agent System?
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⟩
Damien Vergnet, Elsy Kaddoum, Nicolas Verstaevel, Frédéric Amblard
Recherche coopérative d’optimum global
20èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), Jun 2022, Saint-Etienne, France. pp.92-98
Benoît Doussin, Nicolas Verstaevel, Benoit Gaudou, Elsy Kaddoum, Frédéric Amblard
Une Simulation Multi-Agent Basée sur l’Affordance pour Contraindre l’Emergence
Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2022), AFIA, Jun 2022, Saint-Etienne, France. pp.77-83
Raphael Korbmacher, Huu-Tu Dang, Antoine Tordeux, Benoit Gaudou, Nicolas Verstaevel
Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations
2nd conference GAMA Days 2022, Jun 2022, Online, France
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
A modular framework for multi-behavior and multi-scale simulation of pedestrians
2nd conference GAMA Days 2022, Jun 2022, Online, France
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform
2nd conference GAMA Days 2022, Jun 2022, Online, France
Benoît Doussin, Nicolas Verstaevel, Benoit Gaudou, Elsy Kaddoum, Frédéric Amblard
An Affordance-Based Multi-Agent Simulation to Constrain Emergence
2nd conference GAMA Days 2022, Jun 2022, Online, France
Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard
An ensemble Multi-Agent System for non-linear classification
14th ITS European Congress (ITS EU 2022), May 2022, Toulouse, France. pp.1-12
Damien Vergnet, Frédéric Amblard, Elsy Kaddoum, Nicolas Verstaevel
Traffic model adaptive self-calibration using multi-agent systems
1st conference GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Toulouse (Online), France
Nathan Coisne, Jean-François Léon, Nicolas Verstaevel, Benoit Gaudou, Elsy Kaddoum
An Agent-Based Model for a participatory network of air quality sensors on bicycles
GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Online, France
Franck Taillandier, Carole Adam, Frédéric Amblard, Jean-Philippe Antoni, C Baudrit, Curt Corinne, Pascal Di Maiolo, Julie Dugdale, Jean-François Erdelyi, Sidi Mohammed Elachachi, Christophe Fernandez, Benoit Gaudou, Alice Jacquier, Elsy Kaddoum, Marion Lamiral, Colin Lashermes, Patrick Taillandier, Thomas Thévenin, Nicolas Verstaevel
An ABM to support collective reflection on the evolution of mobility
GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Online, France
Damien Vergnet, Frédéric Amblard, Elsy Kaddoum, Nicolas Verstaevel
Auto-calibration adaptative de modèles de simulation de trafic par système multi-agent
3èmes Rencontres Francophones Transport Mobilité (RFTM 2021), Jun 2021, Marne-la-Vallée, France
Jean-François Erdelyi, Carole Adam, Benoit Gaudou, Franck Taillandier, Nicolas Verstaevel
Simulating the transition of mobility toward smart and sustainable cities
6th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS @ AAMAS 2021), May 2021, London (virtual), United Kingdom. pp.41-45
Gary Perelman, Frédéric Amblard, Emmanuel Dubois, Benoit Gaudou, Elsy Kaddoum, Marc Mequignon, Cédric Sanza, Marcos Serrano, Antonio Serpa, Nicolas Verstaevel
Toward phygital agent-based interactive simulations to support urban planning
6th International Workshop on Agent-Based Modelling of Urban Systems (ABMUS @ AAMAS 2021), May 2021, London (Virtual), United Kingdom. pp.36-40
Jean-François Erdelyi, Frédéric Amblard, Benoit Gaudou, Elsy Kaddoum, Nicolas Verstaevel
Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation
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⟩
Davide Guastella, Nicolas Verstaevel, Cesare Valenti, Bilal Arshad, Johan Barthélemy
Evaluating Correlations in IoT Sensors for Smart Buildings
13th International Conference on Agents and Artificial Intelligence (ICAART 2021), Feb 2021, Online Streaming, Netherlands. pp.224-231, ⟨10.5220/0010210502240231⟩
Filipo Studzinski Perotto, Nicolas Verstaevel, Imen Trabelsi, Laurent Vercouter
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
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⟩
Nicolas Verstaevel, Guillaume Garzone, Thierry Monteil, Nawal Guermouche, Johan Barthelemy, Pascal Perez
An Ontology Based Context-Aware Architecture for Smart Campus Applications
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⟩
Nicolas Verstaevel, Jean-Pierre Georgé, Carole Bernon, Marie-Pierre Gleizes
A Self-Organized Learning Model for Anomalies Detection: Application to Elderly People
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⟩
Paul Piché, Elhadi Belghache, Nicolas Verstaevel, Bérangère Lartigue
Impact of eco-feedback on the behavior of campus users
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⟩
Nicolas Verstaevel, Jérémy Boes, Marie-Pierre Gleizes
From Smart Campus to Smart Cities: Issues of the Smart Revolution
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⟩
Julien Nigon, Nicolas Verstaevel, Jérémy Boes, Frédéric Migeon, Marie-Pierre Gleizes
Smart is a matter of context
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⟩
Nicolas Verstaevel, Jérémy Boes, Julien Nigon, Dorian d’Amico, Marie-Pierre Gleizes
Lifelong Machine Learning with Adaptive Multi-Agent Systems
9th International Conference on Agents and Artificial Intelligence (ICAART 2017), Feb 2017, Porto, Portugal. pp.275-286, ⟨10.5220/0006247302750286⟩
Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert
A Distributed User-Centered Approach For Control in Ambient Robotic
8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, Toulouse, France
Jérémy Boes, Julien Nigon, Nicolas Verstaevel, Marie-Pierre Gleizes, Frédéric Migeon
The Self-Adaptive Context Learning Pattern: Overview and Proposal
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⟩
Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert
Auto-organisation d’agents embarqués pour l’apprentissage par démonstration : principes et expérimentations
Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2015), Jun 2015, Rennes, France. pp.159-168
Nicolas Verstaevel, Christine Régis, Marie-Pierre Gleizes, Fabrice Robert
Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotic
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⟩
Nicolas Verstaevel, Christine Régis, Valérian Guivarch, Marie-Pierre Gleizes, Fabrice Robert
Extreme Sensitive Robotic A Context-Aware Ubiquitous Learning
International Conference on Agents and Artificial Intelligence (ICAART 2015), Jan 2015, Lisbonne, Portugal. pp.242–248, ⟨10.5220/0005282002420248⟩
Nicolas Verstaevel, Koen van Dam
Multi-Agent-Based Simulation XXII: 22nd International Workshop, MABS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers
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⟩
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
Empirical analysis on external factors affecting pedestrian dynamics in high-density situations
11th International Conference on Pedestrian and Evacuation Dynamics (PED 2023), Jun 2023, Eindhoven, Netherlands.
Thibault Fourez, Nicolas Verstaevel, Frédéric Migeon, Frédéric Schettini, Frédéric Amblard
Transport Mode Detection on GPS and accelerometer data: a temporality based workflow
2023