Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

Traffic Flow Prediction Based on the location of Big Data

Authors
Xijun Zhang, Zhanting Yuan
Corresponding Author
Xijun Zhang
Available Online November 2015.
DOI
10.2991/iccet-15.2015.228How to use a DOI?
Keywords
Traffic big data; intelligent transportation; smart city
Abstract

This article focuses on the design of intelligent transportation systems in the construction of the smart urban. Learning from the wisdom of traffic building programs, the paper is given the overall design of intelligent transportation process based on location big data. Lanzhou City was analyzed and designed using this method. The collected GPS big data was deeply excavated and analyzed through the mathematical model. Thus the clear city traffic analysis chart was got to predict the traffic flow. In the end the intelligent transportation was realized in the smart city.

Copyright
© 2015, 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 5th International Conference on Civil Engineering and Transportation 2015
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-134-6
ISSN
2352-5401
DOI
10.2991/iccet-15.2015.228How to use a DOI?
Copyright
© 2015, 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  - Xijun Zhang
AU  - Zhanting Yuan
PY  - 2015/11
DA  - 2015/11
TI  - Traffic Flow Prediction Based on the location of Big Data
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 1221
EP  - 1225
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.228
DO  - 10.2991/iccet-15.2015.228
ID  - Zhang2015/11
ER  -