Nicolas Gaud

ORCID: 0000-0001-8151-8650
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About
Contact & Profiles
Research Areas
  • Multi-Agent Systems and Negotiation
  • Business Process Modeling and Analysis
  • Transportation Planning and Optimization
  • Traffic control and management
  • Evacuation and Crowd Dynamics
  • Transportation and Mobility Innovations
  • Semantic Web and Ontologies
  • Mobile Agent-Based Network Management
  • Autonomous Vehicle Technology and Safety
  • Service-Oriented Architecture and Web Services
  • Simulation Techniques and Applications
  • Logic, Reasoning, and Knowledge
  • Model-Driven Software Engineering Techniques
  • Sharing Economy and Platforms
  • Data Visualization and Analytics
  • Modular Robots and Swarm Intelligence
  • 3D Modeling in Geospatial Applications
  • Smart Grid Energy Management
  • Metaheuristic Optimization Algorithms Research
  • Traffic Prediction and Management Techniques
  • Evolutionary Algorithms and Applications
  • Distributed Control Multi-Agent Systems
  • Data Management and Algorithms
  • Antenna Design and Optimization
  • BIM and Construction Integration

Université de technologie de belfort-montbéliard
2012-2024

RMIT University
2019

Laboratoire d’Électronique, Informatique et Image
2017-2019

Institute of Electrical and Electronics Engineers
2019

Université Bourgogne Franche-Comté
2015

Iran University of Science and Technology
2012

Complex software systems development require appropriate high-level features to better and easily tackle the new requirements in terms of interactions, concurrency distribution. This requires a paradigm change engineering corresponding programming languages. We are convinced that agent-oriented may be support for this by focusing on small corpus commonly accepted concepts language line with current developers' practices. papers introduces SARL, general-purpose undertaking challenge. SARL...

10.1109/wi-iat.2014.156 article EN 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2014-08-01

Intersections are major bottlenecks for road traffic, as well the origin of many accidents. Efficient management traffic at intersections is required to ensure both safety and efficiency. Yet, traditional solutions (static signs, lights) limited in their efficiency they consider flow vehicles not microscopic level. By using inter-vehicular communication connected vehicles, recent works have shown possibility a great increase number evacuated thanks give an individual right-of-way directly...

10.1109/tits.2023.3253867 article EN IEEE Transactions on Intelligent Transportation Systems 2023-03-16

New needs and emerging societal constraints have put the emphasis on inadequacy of actual electrical grid. Indeed, it is impossible, or at least very hard, to 1) integrate renewable energy sources a great scale within electric grid, 2) enable communications between various power suppliers consumers, 3) design several different services that meet wide range end users. A key solution these issues consists in using Smart Grids (SG). SG can efficiently control flows by means Information...

10.4236/sgre.2013.44040 article EN Smart Grid and Renewable Energy 2013-01-01

The construction of ad-hoc design processes following the Situational Method Engineering (SME) paradigm is currently carried out by adopting a set phases for which, until now, no well defined techniques and guidelines have been established. consequence that organizations are very dependent on method designers' skills. In this paper, we propose an approach based SME constructing customized agent oriented processes. Our adopts metamodel as most important factor leading to selection assembly...

10.1142/s0218194010004785 article EN International Journal of Software Engineering and Knowledge Engineering 2010-06-01

In the 21st century, enterprises face an increasingly competitive market place. this context, success of depends critically on quality and efficiency their product business processes. These processes generally aim to sell products or services. The approach presented in thi s paper aims at assistance teams following these underlying idea is help team members daily tasks order be more efficient according a specific process. two main components are: ontology for modeling Multi-Agent System...

10.3233/ica-150491 article EN Integrated Computer-Aided Engineering 2015-06-02

Carpooling is an emerging alternative transportation mode that eco-friendly and sustainable as it enables commuters to save time, travel resource, reduce emission traffic congestion. The procedure of carpooling consists a number steps namely; (i) create motive carpool, (ii) communicate this with other agents, (iii) negotiate plan the interested (iv) execute agreed plans, (v) provide feedback all concerned agents. state-of-the-art research work on agent-based modeling limited technical...

10.1016/j.procs.2013.06.115 article EN Procedia Computer Science 2013-01-01

This article introduces a new collision avoidance model enabling the design of efficient realistic virtual pedestrian and cyclist behaviors. It is force-based using prediction with dynamic time-windows to predict future potential collisions obstacles other individuals. type force called sliding allow smooth while continue progress towards its goal. Unlike most existing models, our forces are not scaled according distance obstacle but depending on estimate time this obstacle. inherently...

10.1016/j.procs.2013.06.108 article EN Procedia Computer Science 2013-01-01

The autonomous vehicle is an innovative field for the application of machine learning algorithms. Controlling agent designed to drive safely in traffic very complex as human behavior difficult predict. An individual’s actions depend on a large number factors that cannot be acquired directly by visualization. size vehicle, its vulnerability, perception environment and weather conditions, among others, are all parameters profoundly modify optimized model should take. must therefore have great...

10.3390/futuretransp4020027 article EN cc-by Future Transportation 2024-05-28

Simulation is an appropriate approach for studying complex systems that are inacessible through direct observations and measurements. In a simulation involving great number of interacting entities, it difficult to create reliable tractable abstraction the real reference system. One involved problems amount computational resources required handle microscopic large entities. solution use macroscopic models. However, this type models may be at hand unavailable or not reliable, doesn't allow...

10.1109/uksim.2008.36 article EN 2008-01-01
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