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BIGSEA: A Big Data analytics platform for public transportation information

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 (+14 others)
2019 Future generations computer systems  
BIGSEA: A Big Data analytics platform for public transportation information. Future Generation Computer Systems. 96:243-269. https://doi.  ...  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.  ...  for routes from the raw data of public transportation) built on top of the project platform.  ... 
doi:10.1016/j.future.2019.02.011 fatcat:oupvmbjdhrfjhaggcvz72zlytu

An integrated big and fast data analytics platform for smart urban transportation management

Sandro Fiore, Donatello Elia, Carlos E. Pires, Demetrio G. Mestre, Cinzia Cappiello, Monica Vitali, Nazareno Andrade, Tarciso Braz, Daniele Lezzi, Regina Moraes, Tania Basso, Nadia P. Kozievitch (+7 others)
2019 IEEE Access  
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  ...  INDEX TERMS Big data, cloud computing, data analytics, data privacy, data quality, distributed environment, public transport management, smart city.  ...  ACKNOWLEDGMENT The authors would like to thank Antonio Aloisio for his editing and proofreading work on this paper.  ... 
doi:10.1109/access.2019.2936941 fatcat:rxmbsdulvzgarfmdncrla3fhoi

A Survey of Data Mining Implementation in Smart City Applications

Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Zryan Najat Rashid, Azar Abid Salih, Wafaa M. Abdullah
2021 Qubahan Academic Journal  
It also seeks to define criteria for the creation of big data applications for innovative city services.  ...  This paper examines how big data can be used for more innovative societies.  ...  Fiore [61] A public transport research platform based on the EUBra-BIGSEA platform and used by stakeholders in the City of Curitiba to deal with the urban traffic data processing and planning issues,  ... 
doi:10.48161/qaj.v1n2a52 fatcat:s6jvhv4oxrgfdhawprunamnzae

Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and Machine Learning Approaches

Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike, Gerald K. Ijemaru
2022 ISPRS International Journal of Geo-Information  
The paper gives a comprehensive review and discussion with a focus on emerging technologies from several information and data-driven perspectives including (1) geoinformation approaches; (2) data analytics  ...  The paper contains core discussions on the impacts of geo-information on SC transportation, data-driven transportation and big data technology, machine learning approaches for SC transportation, innovative  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi11020085 fatcat:bjkv6cu7zbfqbl7q7ezfhai5ya

Context-aware data quality assessment for big data

Danilo Ardagna, Cinzia Cappiello, Walter Samá, Monica Vitali
2018 Future generations computer systems  
Big data changed the way in which we collect and analyze data.  ...  In such a scenario, methods and techniques for the data quality assessment can support the identification of suitable data to process.  ...  Acknowledgments The authors work has been partially funded by the EUBra-BIGSEA project by the European Commission under the Cooperation Programme (MCTI/RNP 3rd Coordinated Call), Horizon 2020 grant agreement  ... 
doi:10.1016/j.future.2018.07.014 fatcat:cfxxwryiwnhtngcnsptze5tevu

A Parallel-based Map Matching Approach over Urban Place Records

Tiago Brasileiro Araújo, Carlos Eduardo Santos Pires, Demetrio Gomes Mestre, Andreza Raquel Monteiro De Queiroz, Veruska Borges Santos, Thiago Pereira Da Nóbrega
2019 Anais do Simpósio Brasileiro de Banco de Dados (SBBD)  
For spatial Big Data, the map matching task is confronted with challenges related to volume and veracity of the data. In this sense, we propose a Spark-based map matching approach, called MATCH-UPS.  ...  To this end, the map matching task, i.e., the task of identifying correspondent features between two geospatial data sources, should be applied.  ...  This project aims to develop a cloud platform for data management and exploitation.  ... 
doi:10.5753/sbbd.2019.8813 dblp:conf/sbbd/AraujoPMQSN19 fatcat:ly2aresfmbdunplph3las3ceim