Abstract (EN):
In this paper we discuss how trip time prediction can be useful for
operational optimization in mass transit companies and which machine learning
techniques can be used to improve results. Firstly, we analyze which departments
need trip time prediction and when. Secondly, we review related work and thirdly
we present the analysis of trip time over a particular path. We proceed by presenting
experimental results conducted on real data with the forecasting techniques we
found most adequate, and conclude by discussing guidelines for future work.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Nº de páginas:
8
Tipo de Licença: