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Journal Articles Applied Intelligence Year : 2008

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

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1
René Mandiau
  • Function : Author
  • PersonId : 945676
Alexis Champion
  • Function : Author
Jean-Michel Auberlet
Stéphane Espie

Abstract

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.
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Origin : Publication funded by an institution
Licence : CC BY - Attribution

Dates and versions

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

Licence

Attribution - CC BY 4.0

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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⟩
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