A versatile description framework for ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
A versatile description framework for modeling behaviors in traffic simulations
Author(s) :
Bonhomme, Alexandre [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Mathieu, Philippe [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Picault, Sebastien [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Systèmes Multi-Agents et Comportements [SMAC]
Mathieu, Philippe [Auteur]

Systèmes Multi-Agents et Comportements [SMAC]
Picault, Sebastien [Auteur]

Systèmes Multi-Agents et Comportements [SMAC]
Scientific editor(s) :
George Angelos Papadopoulos
Conference title :
IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI 2014)
City :
Limassol
Country :
Chypre
Start date of the conference :
2014-11-10
Journal title :
Proceedings of the IEEE 26th International Conference on Tools with Artificial Intelligence
Publication date :
2014
English keyword(s) :
Multi-Agent Simulation
GIS
Road Traffic
Traffic Generator
Decision Support System
GIS
Road Traffic
Traffic Generator
Decision Support System
HAL domain(s) :
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
Microscopic simulations of road traffic are a typical application domain for Multi-Agent Systems. Indeed, the individual-based approach allows to take into account the diversity of behaviors so as to consider real situations. ...
Show more >Microscopic simulations of road traffic are a typical application domain for Multi-Agent Systems. Indeed, the individual-based approach allows to take into account the diversity of behaviors so as to consider real situations. More recently, geographical databases provide environmental information under open formats, which offers the opportunity to design agent-based traffic simulators which can be continuously informed of changes in traffic conditions. The use of such data, together with the adaptability of MAS, allows the realization of decision support systems that are able to integrate environmental and behavioral modifications in a direct way, and compare various scenarios built from different hypotheses in terms of actors, behaviors, environment and flows. We describe here a modeling approach and a comprehensive process which lead to the development of such a tool.Show less >
Show more >Microscopic simulations of road traffic are a typical application domain for Multi-Agent Systems. Indeed, the individual-based approach allows to take into account the diversity of behaviors so as to consider real situations. More recently, geographical databases provide environmental information under open formats, which offers the opportunity to design agent-based traffic simulators which can be continuously informed of changes in traffic conditions. The use of such data, together with the adaptability of MAS, allows the realization of decision support systems that are able to integrate environmental and behavioral modifications in a direct way, and compare various scenarios built from different hypotheses in terms of actors, behaviors, environment and flows. We describe here a modeling approach and a comprehensive process which lead to the development of such a tool.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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