Modelo baseado em aprendizado de máquina para recomendação de veículos de frotas de transporte coletivo
The public transport system is one of the main problems of urban mobility within cities today.One of the biggest difficulties that is experienced in day-to-day life, both in large centers and inalmost every city that has a public transportation system, is the overcrowding in the vehicles ofthis syst...
| Autor principal: | Thums, Luiz Gustavo Weber |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/30327 |
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| Resumo: |
The public transport system is one of the main problems of urban mobility within cities today.One of the biggest difficulties that is experienced in day-to-day life, both in large centers and inalmost every city that has a public transportation system, is the overcrowding in the vehicles ofthis system. The objective of this work is to present a proposal for a Machine Learning model,which can be used to improve the dimensioning, so that vehicles compatible with demand areused. During this study, experiments will be carried out using Machine Learning algorithms,applied to time series, to recommend the best type of vehicle to be used during the operation. |
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