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Author(s): João M. Moreira
Alípio Jorge
Jorge Freire de Sousa
Carlos Soares
Title: Trip time prediction in mass transit companies. A machine learning approach
Issue Date: 2005
Abstract: In this paper we discuss how trip time prediction can be useful foroperational optimization in mass transit companies and which machine learningtechniques can be used to improve results. Firstly, we analyze which departmentsneed trip time prediction and when. Secondly, we review related work and thirdlywe present the analysis of trip time over a particular path. We proceed by presentingexperimental results conducted on real data with the forecasting techniques wefound most adequate, and conclude by discussing guidelines for future work.
Subject: Engenharia
Source: Advanced OR and AI methods in transportation
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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