An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management

IEEE Access

Nuno Antunes¹  Ignacio Blanquer¹  Daniele Lezzi²  Demetrio Gomes Mestre³  Carlos Eduardo Pires³  Tarciso Braz³  Nazareno Andrade³  Marco Vieira⁴  Wagner Meira⁵  Giovanni Aloisio⁵  Nadia P. Kozievitch⁶  Tania Basso⁷  Regina Moraes⁷  Monica Vitali⁸  Cinzia Cappiello⁸  Sandro Fiore⁹  Donatello Elia⁹  Cosimo Palazzo^1,10  Keiko Veronica Ono Fonseca^1,10 

[1] (UTFPR), Curitiba, Brazil;Barcelona Supercomputing Center (BSC), Barcelona, Spain;Departamento de Sistemas e Computação, Universidade Federal de Campina Grande (UFCG), Campina Grande, Brazil;Department of Electronics, Universidade Tecnol&x00F3;Department of Informatics Engineering, CISUC, University of Coimbra, Coimbra, Portugal;Department of Informatics, Universidade Tecnol&x00F3;Department of Software Engineering and Information Systems, University of Campinas (UNICAMP), Campinas, Brazil;Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy;Euro-Mediterranean Centre on Climate Change (CMCC) Foundation, Lecce, Italy;gica Federal do Paran&x00E1;

关键词: Big data;    cloud computing;    data analytics;    data privacy;    data quality;    distributed environment;   

DOI  :  10.1109/ACCESS.2019.2936941

来源: DOAJ

【 摘 要 】

Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous data sources as well as on the ability to extract actionable insights from them. Besides data, full stack (from platform to services and applications) Information and Communications Technology (ICT) solutions need to be specifically adopted to address smart cities challenges. Smart urban transportation management is one of the key use cases addressed in the context of the EUBra-BIGSEA (Europe-Brazil Collaboration of Big Data Scientific Research through Cloud-Centric Applications) project. This paper specifically focuses on the City Administration Dashboard, a public transport analytics application that has been developed on top of the EUBra-BIGSEA platform and used by the Municipality stakeholders of Curitiba, Brazil, to tackle urban traffic data analysis and planning challenges. The solution proposed in this paper joins together a scalable big and fast data analytics platform, a flexible and dynamic cloud infrastructure, data quality and entity matching algorithms as well as security and privacy techniques. By exploiting an interoperable programming framework based on Python Application Programming Interface (API), it allows an easy, rapid and transparent development of smart cities applications.

【 授权许可】

Unknown