Mobilidade urbana em Curitiba: um estudo focado em análise de dados da rede de transporte público

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 the Internet of Things-based devices clearly reflect the dynamics mentioned by the huge amount of generated data. To extract useful information from such data, a potential approach is to conduct studies based on statistical methodologies. This work addresses both IoT and urban mobility aiming at contributing to the process of route decision for collective or individual public transportation in urban environments. We reviewed the current IoT approaches on urban mobility in Curitiba. We identified the types of public transportation in our city making the connection of IoT and urban mobility. Using Python we have done a proof of concept as a research application, using quantitative data, followed by analysis of historic data, aiming to find important information for users and managers of the public transport network in Curitiba.