Open AccessExploratory Analysis of Public Transportation Data in Curitiba
Author(s) -
Nádia P. Kozievitch,
Tatiana Maria Cecy Gadda,
Keiko V. O. Fonseca,
Marcelo de Oliveira Rosa,
Luiz Celso Gomes,
Monika Abkar
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/semish.2016.9516
Subject(s) - curitiba , public transport , exploratory analysis , exploratory data analysis , computer science , open data , exploratory research , data science , transport engineering , statistical analysis , world wide web , data mining , engineering , philosophy , statistics , mathematics , sociology , humanities , anthropology
Smart transportation systems have been providing more data over time (such as bus routes, users, smartphones, etc.). Such data provides a number of opportunities to identify various facets of user behavior and traffic trends. In this paper we address some of the urban mobility challenges (already discussed by the Brazilian Computer Society), from a number of different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) data integration, and (iv) open and connected data. In particular, we present an exploratory data analysis with GIS for public transportation toward a case study in Curitiba, Brazil.