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Auto-structuration de trafic temps-réel multi-objectif et multi-critère dans un monde virtuel

Augustin Degas 1
1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : In many areas, simulation is a powerful tool to learn, visualize, and understand the impact of a decision at a given time on the entire system. The area of air navigation is not an exception. Air traffic simulation tools are essential in air traffic management, and must be able to generate a wide variety of realistic scenarios while taking into account different constraints observable by a simulation user, called situations such as traffic density, a flow typology, collisions, a weather event, or any other emerging event. Structuring traffic simulation to achieve realism and different situations is a complex task, given the many objectives and criteria to meet, the diversity of mobile entities and their multiple interactions, and the dynamics of the environment. In the field of air navigation, this complexity is very often managed by humans, whether by the scriptwriter expert who generates the traffic scenario after several hours of trial and error, or by human actors during the simulation that manage the real-time adaptation of the traffic if needed. Traditional resolution approaches have shown their limits to face the complexity of these applications. In this thesis, we propose to solve real-time structuring of a multi-objective traffic simulation by using the AMAS theory (Adaptive Multi-Agents Systems). In these systems, agents pursue local goals and interact in a cooperative manner. By their local interactions, the system is more robust and self-adapt to the dynamics of the environment, allowing the global function to emerge. After several studies, this theory has shown its adequacy to solve complex and dynamic problems. The objective of this work is to model and specialize this theory for the real-tile structuring of multi-objective and multi-criteria traffic simulation. For this purpose, the AGATS agent model with cooperative and local behaviors and interactions has been defined. This model is composed of two sub-models, AGEAS, for structuring the simulation according to a scenario, and CAAMAS, for enabling mobile entities to self-adapt to the scenarios and dynamics of the simulation. The results of the instantiation of these two models for air traffic simulation show the adequacy of the proposed approach for autonomous scenario generation.
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Submitted on : Tuesday, December 8, 2020 - 12:34:41 PM
Last modification on : Wednesday, November 3, 2021 - 6:52:45 AM
Long-term archiving on: : Tuesday, March 9, 2021 - 7:14:46 PM


Version validated by the jury (STAR)


  • HAL Id : tel-03046226, version 1


Augustin Degas. Auto-structuration de trafic temps-réel multi-objectif et multi-critère dans un monde virtuel. Système multi-agents [cs.MA]. Université Paul Sabatier - Toulouse III, 2020. Français. ⟨NNT : 2020TOU30058⟩. ⟨tel-03046226⟩



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