Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94012
Type: Artigo de evento
Title: Fuzzy Algorithm For Real-time Train Dispatch And Control
Author: Tazoniero A.
Goncalves R.
Gomide F.
Abstract: This paper discusses a knowledge-based system that uses fuzzy set techniques to plan train circulation in freight railroads. Its purpose is to aid train dispatchers in decision-making and traffic control in real-time. The system uses decision procedures based on fuzzy rules with the purpose of driving train circulation as closed as possible to reference trajectories. It can easily incorporate operational knowledge and dispatcher experience as a part of the decision-making strategy. A major characteristic of the system concerns its ability to provide feasible circulation plans in real-time. Incorporation of practical knowledge and real-time response are key requirements for control and traffic management in train control rooms. © 2005 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/NAFIPS.2005.1548557
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33744976335&partnerID=40&md5=00dfebbbd374ceb46937ae1fcd0c07b7
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-33744976335.pdf3.11 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.