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Author(s): João M. Moreira
Alípio Jorge
Jorge Freire de Sousa
Carlos Soares
Title: A data mining approach for trip time prediction in mass transit companies
Issue Date: 2005
Abstract: In this paper we discuss how trip time prediction can be useful for operational optimization in mass transit companies and how data mining techniques can be used to improve results. Firstly, we an- alyze which departments need trip time prediction and when. Secondly, we review related work and thirdly we present the analysis of trip time over a particular path. We proceed by presenting experimental results conducted on real data with the forecasting techniques we found most adequate, and conclude by discussing guidelines for future work.
Subject: Tecnologia dos transportes, Engenharia electrotécnica, electrónica e informática
Transport technology, Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
Source: Proceedings of the workshop W11 on Data Mining for Business
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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