An ensemble regression approach for bus trip time prediction
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 anensemb...
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| Outros Autores: | , , |
| Formato: | book |
| Idioma: | por |
| Publicado em: |
2006
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| Assuntos: | |
| Texto completo: | https://repositorio-aberto.up.pt/handle/10216/6752 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/6752 |
| Resumo: | 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. |
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