TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data

Alexandre Bonhomme (1, 2) , Philippe Mathieu (2, 1) , Sébastien Picault (1, 2)

1 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
2 SMAC - Systèmes Multi-Agents et Comportements

Multi-Agent Systems have been widely used for traffic simulation. The modeling of individuals allows indeed to introduce a behavioral diversity which is crucial to obtain realistic simulation outcomes. The recent growth of open geographical databases and related flow information provides an opportunity for enhancing traffic simulators with data automatically retrieved from the real world and updated regularly. We present here TrafficGen, a highly modular platform based on the integration of such open data within a library of rule-based behaviors, in order to provide a versatile decision support tool in traffic.

Mots clés: Multi-Agent Simulation; GIS; Road Traffic; Traffic Generator; Decision Support System

Domaines: Système multi-agents [cs.MA]; Modélisation et simulation; Intelligence artificielle [cs.AI]

Alexandre Bonhomme, Philippe Mathieu, Sébastien Picault. TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data. 13th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), Jun 2015, Salamanca, Spain. pp.259-262, ⟨10.1007/978-3-319-18944-4_22⟩. ⟨hal-01159981⟩