Uso de Dados de Mídias Sociais para Desenvolvimento de Metodologia de Posicionamento de Táxis
ResumoSmart cities emerge as a topic that applies information and communication technology in urban centers to monitor their dynamics and allow the improvement of services for their citizens. This monitoring occurs, for example, when analyzing data produced by citizens in their daily lives. A significant amount of this data has spatio-temporal annotations, which may be used to analyze the city dynamics, such as the mobility flow. Due to these characteristics and also the possibilities brought by their use and analyses, this work presents a novel approach to use social media data to enhance the positioning of taxis within the city. The results show that data from location-based social networks may be used as people's concentration virtual sensor, which can be used by the urban transportation system. The present shows how different urban data sources can be related using spatio-temporal correlation of three different sources was verified. The proposal was validated using data from the taxi system of New York City and also data from the Twitter platform. The analysis was handled using the SMAFramework, a framework to perform analysis in urban mobility data.
RODRIGUES, Diego O.; SILVA, Thiago H.; CURADO, Marilia; LOUREIRO, Antonio A. F.; VILLAS, Leandro. Uso de Dados de Mídias Sociais para Desenvolvimento de Metodologia de Posicionamento de Táxis. In: SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 36. , 2018, Campos do Jordão. Anais do XXXVI Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Porto Alegre: Sociedade Brasileira de Computação, may 2018 . ISSN 2177-9384.