Dealing with Multi-Agent Coordination by Anticipation: Application to the Traffic Simulation at Junctions

In contexts of competitive multi-agent coordination in a highly dynamic environment, one of the crucial problems is the resolution of deadlocks situations. In the field of multi-agent simulation, such situations can appear owing to the local perception of each agent. This article is dedicated to the proposition of a model actions selection by anticipation. We detail this model within the framework of a traffic simulation application and show its relevance for critical situations such as traffic jam in crossroad.