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To adapt or not to adapt : consequences of adapting driver and traffic light agents

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To adapt or not to adapt : consequences of adapting driver and traffic light agents

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Título To adapt or not to adapt : consequences of adapting driver and traffic light agents
Autor Bazzan, Ana Lucia Cetertich
Oliveira, Denise de
Klugl, Franziska
Nagel, Kai
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.
Contido em European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (5. : 2005 : Paris, France) (6. : Brussel, Belgium) (7. : 2007 Apr. : Maastricht, The Netherlands). Revised Selected Papers. Berlin : Springer, 2008. p. 1-14
Assunto Engenharia : Trafego
Inteligência artificial
Tipo Capítulo de livro
URI http://hdl.handle.net/10183/31092
Arquivos Descrição Formato
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