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Publication Detailed Description
Big Data Collections and Services for Building Intelligent Transport Applications
Journal Title
International Journal of Electronic Business Management
Year (definitive publication)
2016
Language
English
Country
China
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Abstract
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.
Acknowledgements
We thank the region Rhône-Alpes who finances the thesis work of Gavin Kemp by means of the ARC 7 program (http://www.arc7-territoires-mobilites.rhonealpes.fr/).
Keywords
Intelligent Transport System,Big Data,Cloud Services,NoSQL
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Contributions to the Sustainable Development Goals of the United Nations
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