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To adapt or not to adapt: consequences of adapting driver and traffic light agents
UFRGS, Porto Alegre, Brazil.
UFRGS, Porto Alegre, Brazil.
Örebro University, School of Science and Technology. (Modeling and Simulation Research Center)ORCID iD: 0000-0002-1470-6288
TU Berlin. (Institute for Land and Sea Transport)
2008 (English)In: Adaptive agents and multi-agent systems III: adaptation and multi-agent learning : 5th, 6th, and 7th European Symposium,ALAMAS 2005-2007on Adaptive and Learning Agents and Multi-Agent Systems : revised selected papers / [ed] Karl Tuyls, Ann Nowe, Zahia Guessoum, New York: Springer , 2008, p. 1-14Conference paper, Published paper (Refereed)
Abstract [en]

One way to cope with the increasing traffic demand is to integrate standard solutions with more intelligent control measures. However, the result of possible interferences between intelligent control or information provision tools and other components of the overall traffic system is not easily predictable. This paper discusses the effects of integrating co-adaptive decision-making regarding route choices (by drivers) and control measures (by traffic lights). The motivation behind this is that optimization of traffic light control is starting to be integrated with navigation support for drivers. We use microscopic, agent-based modelling and simulation, in opposition to the classical network analysis, as this work focuses on the effect of local adaptation. In a scenario that exhibits features comparable to real-world networks, we evaluate different types of adaptation by drivers and by traffic lights, based on local perceptions. In order to compare the performance, we have also used a global level optimization method based on genetic algorithms.

Place, publisher, year, edition, pages
New York: Springer , 2008. p. 1-14
Series
Lecture Notes in Computer Science ; 4865
National Category
Engineering and Technology Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-5244DOI: 10.1007/978-3-540-77949-0_1ISBN: 978-3-540-77947-6 (print)OAI: oai:DiVA.org:oru-5244DiVA, id: diva2:158352
Conference
5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems
Available from: 2009-02-02 Created: 2009-02-02 Last updated: 2018-01-13Bibliographically approved

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Klügl, Franziska

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CiteExportLink to record
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