Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICTAI.2014.158 | Tools with Artificial Intelligence |
Keywords | Field | DocType |
decision support systems,geographic information systems,multi-agent systems,road traffic,MAS,agent-based traffic simulators,decision support systems,environmental information,geographical databases,microscopic simulations,modeling behaviors,multiagent systems,road traffic simulations,traffic conditions,versatile description framework,Multi-Agent Simulation, GIS, Road Traffic, Traffic | Adaptability,Traffic generation model,Simulation,Computer science,Decision support system,Road traffic,Application domain,Artificial intelligence,Machine learning,Traffic conditions,Distributed computing | Conference |
ISSN | Citations | PageRank |
1082-3409 | 1 | 0.39 |
References | Authors | |
16 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre Bonhomme | 1 | 1 | 0.39 |
| Philippe Mathieu | 2 | 65 | 11.34 |
| Sébastien Picault | 3 | 136 | 24.50 |