Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/6752| Author(s): | João M. Moreira Jorge Freire de Sousa Alípio M. Jorge Carlos Soares |
| Title: | An ensemble regression approach for bus trip time prediction |
| Issue Date: | 2006 |
| Abstract: | This paper is about bus trip time prediction in mass transit companies.We describe the motivations to accomplish this task and how it can supportoperational management on such companies. Then, we describe a Data Miningframework that recommends the expected best regression algorithm(s), from anensemble, to predict the duration of a given trip. We present results that show theadvantage of using an ensemble regression approach. |
| Subject: | Inteligência artificial, Engenharia, Ciências da computação e da informação Artificial intelligence, Engineering, Computer and information sciences |
| Scientific areas: | Ciências exactas e naturais::Ciências da computação e da informação Natural sciences::Computer and information sciences |
| URI: | https://repositorio-aberto.up.pt/handle/10216/6752 |
| Source: | Proceedings of the EWGT2006 joint conferences |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEP - Artigo em Livro de Atas de Conferência Internacional FEUP - Artigo em Livro de Atas de Conferência Internacional |
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