Paper Info
Title
TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-18944-4_22
ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SUSTAINABILITY
Keywords
Field
DocType
Multi-agent simulation,GIS,Road traffic,Traffic generator,Decision support system
Open data,Traffic generation model,Data mining,Computer science,Decision support system,Traffic simulation,Road traffic,Modular design,Network traffic simulation,Behavioral diversity,Distributed computing
Conference
Volume
ISSN
Citations 
9086
0302-9743
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Alexandre Bonhomme100.68
Philippe Mathieu213928.72
Sébastien Picault313624.50