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Main Title: Large-Scale Multi-Agent Simulations for Transportation Applications
Author(s): Balmer, Michael
Nagel, Kai
Raney, Bryan
Type: Article
Language Code: en
Abstract: In many transportation simulation applications including intelligent transportation systems (ITS), behavioral responses of individual travelers are important. This implies that simulating individual travelers directly may be useful. Such a microscopic simulation, consisting of many intelligent particles (= agents), is an example of a multi-agent simulation. For ITS applications, it would be useful to simulate large metropolitan areas, with ten million travelers or more. Indeed, when using parallel computing and efficient implementations, multi-agent simulations of transportation systems of that size are feasible, with computational speeds of up to 300 times faster than real time. It is also possible to efficiently implement the simulation of day-to-day agent-based learning, and it is possible to make this implementation modular and essentially “plug-and-play.” Unfortunately, these techniques are not immediately applicable for within-day replanning, which would be paramount for ITS. Alternative techniques, which allow within-day replanning also for large scenarios, are discussed.
Issue Date: 2004
Date Available: 28-Mar-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): multi-agent simulation
transportation planning
transportation application
parallel computation
route planning
traffic simulation
agent learning
activity planning
Journal Title: Journal of intelligent transportation systems : technology planning and operations
Publisher: Taylor & Francis
Publisher Place: London [u.a.]
Volume: 8
Issue: 4
Publisher DOI: 10.1080/15472450490523892
Page Start: 205
Page End: 221
EISSN: 1547-2442
ISSN: 1547-2450
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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