Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/6749
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 Engineering |
URI: | https://repositorio-aberto.up.pt/handle/10216/6749 |
Source: | Advanced OR and AI methods in transportation |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License