CRUZ JÚNIOR, José Ivan Silva da.
Abstract:
With the increasing growth of urban centers and the demand for public transport, interest in mechanisms that help in data analysis to better understand the dynamics of the transport system has grown. In this article, we propose a set of data analysis methods
that offers a range of useful functions for analyzing public transport data, including: spatial analysis of travel origins and destinations; the analysis of bus capacity by route; and the detection of outliers in the speed of the trips made. The methods were evaluated through
a case study in the city of Curitiba, Basil, containing 4169274 trips covered by 246 routes. We believe that the knowledge extracted by this set of analysis methods and similar ones can contribute to improving the service offered to citizens in different cities.
