Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

The Application Discussion of Big Data Technology in Intelligent Transportation

Authors
Yan Hou
Corresponding Author
Yan Hou
Available Online July 2016.
DOI
10.2991/iccia-17.2017.71How to use a DOI?
Keywords
Intelligent transportation; big data technology; Application.
Abstract

At present, the related data information with GPS positioning, road condition, traffic operation and video surveillance is gradually increasing in the construction process of intelligent transportation around all the cities of our country, and the produced data amount every day nearly has reached PB grade and presented the exponential growing trend. If so much data can be deeply mined and analyzed, it is bound to have unexpected effect on the traffic emergency management, society security. Thus, it is necessary to make promotion and application with big data technology. This paper made analysis and exploration with the application of big data technology in intelligent transportation.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.71How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Hou
PY  - 2016/07
DA  - 2016/07
TI  - The Application Discussion of Big Data Technology in Intelligent Transportation
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 428
EP  - 431
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.71
DO  - 10.2991/iccia-17.2017.71
ID  - Hou2016/07
ER  -