Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/349511
Type: Artigo
Title: An urban traffic controller using the MECA cognitive architecture
Author: Gudwin, Ricardo
Paraense, André
de Paula, Suelen M.
Fróes, Eduardo
Gibaut, Wandemberg
Castro, Elisa
Figueiredo, Vera
Raizer, Klaus
Abstract: In this paper, we present a Cognitive Manager for urban traffic control, built using MECA, the Multipurpose Enhanced Cognitive Architecture, a cognitive architecture developed by our research group and implemented in the Java language. The Cognitive Manager controls a set of traffic lights in a junction of roads based on information collected from sensors installed on the many lanes feeding the junction. We tested our Junction Manager in 4 different test topologies using the SUMO traffic simulator, and with different traffic loads. The junction manager seeks to optimize the average waiting times for all the cars crossing the junction, while at the same time being able to provide preference to special cars (police cars or firefighters), called Smart Cars, and equipped with special devices that grant them special treatment during the phase allocation policies provided by the architecture. Simulation results provide evidence for an enhanced behavior while compared to fixed-time policies
Subject: Arquitetura cognitiva
Country: Países Baixos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.bica.2018.07.015
Address: https://www.sciencedirect.com/science/article/pii/S2212683X18300859
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos

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