BIG DATA COLLECTIONS AND SERVICES FOR BUILDING INTELLIGENT TRANSPORT APPLICATIONS

This paper presents an approach for building data collections and cloud services required for building intelligent transport applications. Services implement Big Data analytics functions that can bring new insights and useful correlations of large data collections and provide knowledge for managing...

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Bibliographic Details
Published in:International journal of electronic business management 2016-09, Vol.14, p.1-11
Main Authors: Kemp, Gavin, Amaya, Pedropablo López, Da Silva, Catarina Ferreira, Vargas-Solar, Genoveva, Ghodous, Parisa, Collet, Christine
Format: Article
Language:English
Subjects:
Algorithms
Architectural engineering
Big Data
Cities
Cloud computing
Computer Science
Crowdsourcing
Data analysis
Data collection
Data mining
Humanities and Social Sciences
Infrastructure
International conferences
Knowledge discovery
Library and information sciences
Queries
Sensors
Service oriented architecture
Smartphones
Towns
Traffic
Online Access:Get full text
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Summary:This paper presents an approach for building data collections and cloud services required for building intelligent transport applications. Services implement Big Data analytics functions that can bring new insights and useful correlations of large data collections and provide knowledge for managing transport issues. Applying data analytics to transport systems brings better understanding to the transport networks revealing unexpected choking points in cities. This facility is still largely inaccessible to small companies and citizens due to their limited access to computational resources. A cloud service oriented architecture opens new perspectives for democratizing the use of efficient and personalized big data management and analytics.
ISSN:1728-2047
1728-2047