Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation - Université Polytechnique des Hauts-de-France Accéder directement au contenu
Article Dans Une Revue Applied Intelligence Année : 2008

Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation

René Mandiau
Alexis Champion
  • Fonction : Auteur
Jean-Michel Auberlet
Stéphane Espie

Résumé

This paper describes a multi-agent coordination mechanism applied to intersection simulation situations. In a goal of urban traffic simulation, we must consider the dynamic interactions between autonomous vehicles. The field of multi-agent systems provides us some studies for such systems, in particular on the coordination mechanisms. Conflicts between vehicles (i.e. agents) are very frequent in such applications, and they may cause deadlocks, particularly at intersections such as crossroads. Our approach is based on the solving of two player games/decision matrices which characterize three basic situations. An aggregation method generalizes to n-player games for complex crossroads. The objective of this approach consists in searching basic two-player matrices for solving n-agent problems. To explain the principle, we describe our approach for a particular case of crossroad with three agents. Finally, the obtained results have been examined via a tool of road traffic simulation, ARCHISIM. We assume also that the global traffic replicates the behavior of agents in different situations.
Fichier principal
Vignette du fichier
undefined.pdf (785.42 Ko) Télécharger le fichier
Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-03269042 , version 1 (15-04-2022)

Licence

Paternité

Identifiants

Citer

René Mandiau, Alexis Champion, Jean-Michel Auberlet, Stéphane Espie, Christophe Kolski. Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation. Applied Intelligence, 2008, 28 (2), pp.121-138. ⟨10.1007/s10489-007-0045-3⟩. ⟨hal-03269042⟩
39 Consultations
72 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More