Exploratory Analysis of Public Transportation Data of Curitiba, Brazil

EasyChair Preprint 3782

Abstract

The dynamics between technologies and everyday life is increasingly volatile, pushing for greater convenience and ease of both trivial and complex processes. A consequence of the wide implementation of Internet of Things-based devices in smart city applications clearly reflects the mentioned dynamics by the huge amount of data to be handled. To extract useful information from such data, a clever approach to conduct data analysis is the interdisciplinary one, i.e., engineering and computer scientists as close partners of the problem domain experts. This paper addresses IoT data of a Public transportation System (PTS) aiming at contributing to the data analysis process for new insights about bus based PTS applications. Open Data of Curitiba PTS was explored looking for approaches to handle and analyze this kind of data, aiming to find important information for users, managers and planners of the public transport network in Curitiba.

Keyphrases: Curitiba, Internet of Things, public transportation, urban mobility

@booklet{EasyChair:3782,
  author    = {Karla Kiyoko Hashiguchi and Bruno de Freitas Gai and Daniel Fernando Pigatto and Keiko Veronica Ono Fonseca},
  title     = {Exploratory Analysis of Public Transportation Data of Curitiba, Brazil},
  howpublished = {EasyChair Preprint 3782},
  year      = {EasyChair, 2020}}