BIGSEA: A Big Data analytics platform for public transportation information

• DOI: 10.1016/j.future.2019.02.011
• Publication Date: 2019-02-14T12:37:54Z
• Authors: Andy S. Alic; Jussara Almeida; Giovanni Aloisio; Nazareno Andrade; Nuno Antunes; Danilo Ardagna; Rosa M. Badia; Tania Basso; Ignacio Blanquer; Tarciso Braz; Andrey Brito; Donatello Elia; Sandro Fiore; Dorgival Guedes; Marco Lattuada; Daniele Lezzi; Matheus Maciel; Wagner Meira; Demetrio Mestre; Regina Moraes; Fabio Morais; Carlos Eduardo Pires; Nádia P. Kozievitch; Walter dos Santos; Paulo Silva; Marco Vieira
• Keywords: Computació en núvol; Performance; Macrodades; Deployment; Transport; Transportation; 02 engineering and technology; Workflows; Big data; Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors; 11. Sustainability; CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL; 0202 electrical engineering, electronic engineering, information engineering; Cloud computing; Software; Hardware and Architecture; Computer Networks and Communications; :Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]

The work shown in this article has been funded jointly by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 690116 (EUBra-BIGSEA) and the Ministério de Ciência, Tecnologia e Inovação (MCTI) from Brazil.<br/>[EN] Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount of resources. In EUBra-BIGSEA (Europe¿Brazil Collaboration of Big Data Scientific Research Through Cloud-Centric Applications) we address such problems in a comprehensive and integrated way. EUBra-BIGSEA provides a platform for building up data analytic workflows on top of elastic cloud services without requiring skills related to either programming or cloud services. The approach combines cloud orchestration, Quality of Service and automatic parallelisation on a platform that includes a toolbox for implementing privacy guarantees and data quality enhancement as well as advanced services for sentiment analysis, traffic jam estimation and trip recommendation based on estimated crowdedness. All developments are available under Open Source licenses (http://github.org/eubr-bigsea, https://hub.docker.com/u/eubrabigsea/).<br/>