Scientific journal paper Q1
Cloud big data application for transport
Gavin Kemp (Kemp, G.); Genoveva Vargas-Solar (Vargas-Solar, G.); Catarina Ferreira da Silva (Ferreira da Silva, C.); Parisa Ghodous (Ghodous, P.); Christine Collet (Collet, C.); Pedropablo López Amaya (López Amaya, P.);
Journal Title
International Journal of Agile Systems and Management
Year (definitive publication)
2016
Language
English
Country
United Kingdom
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Abstract
This paper presents a cloud service-oriented approach for managing and analysing big data required by transport applications. Big data analytics brings new insights and useful correlations of large data collections providing undiscovered knowledge. Applying it 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 due to their limited access to computational resources. A cloud-oriented architecture opens new perspectives for providing efficient and personalised big data management and analytics services to (small) companies.
Acknowledgements
The authors would like to thank the region Rhône-Alpes who finances the thesis work of Gavin Kemp by means of the ARC seven programs (http://www.arc7-territoires-mobilites.rhonealpes.fr/).
Keywords
intelligent transport system,big data,cloud services,NoSQL
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology

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