Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8266
Main Title: To Adapt or Not to Adapt – Consequences of Adapting Driver and Traffic Light Agents
Author(s): Bazzan, Ana L. C.
Oliveira, Denise de
Klügl, Franziska
Nagel, Kai
Type: Conference Object
Language Code: en
Abstract: 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.
URI: https://depositonce.tu-berlin.de/handle/11303/9180
http://dx.doi.org/10.14279/depositonce-8266
Issue Date: 2008
Date Available: 1-Mar-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): travel time
multiagent system
autonomous agent
route choice
average travel time
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning. AAMAS 2005, ALAMAS 2007, ALAMAS 2006
Editor: Tuyls, Karl
Nowe, Ann
Guessoum, Zahia
Kudenko, Daniel
Publisher: Springer
Publisher Place: Berlin, Heidelberg
Publisher DOI: 10.1007/978-3-540-77949-0_1
Page Start: 1
Page End: 14
EISSN: 1611-3349
ISBN: 978-3-540-77947-6
978-3-540-77949-0
ISSN: 0302-9743
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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