See the near future: a short-term predictive methodology to traffic load in ITS

Zhou, Xun, Li, Changle, Liu, Zhe, Luan, Tom Hao, Miao, Zhifang, Zhu, Lina and Xiong, Lei 2017, See the near future: a short-term predictive methodology to traffic load in ITS, in IEEE ICC'17 : Bridging people, communicaties and cultures : Proceedings of the 2017 IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/ICC.2017.7996800.

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Title See the near future: a short-term predictive methodology to traffic load in ITS
Author(s) Zhou, Xun
Li, Changle
Liu, Zhe
Luan, Tom Hao
Miao, Zhifang
Zhu, Lina
Xiong, Lei
Conference name IEEE Communications Society. Conference (2017 : Paris, France)
Conference location Paris, France
Conference dates 2017/05/21 - 2017/05/25
Title of proceedings IEEE ICC'17 : Bridging people, communicaties and cultures : Proceedings of the 2017 IEEE International Conference on Communications
Editor(s) Gesbert, David
Debbah, Merouane
Mellouk, Abdelhamid
Publication date 2017
Series IEEE Communications Society Conference
Start page 1
End page 6
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Intelligent Transportation System
Time series
Learning algorithm
Short-term traffic forecasting
Science & Technology
Technology
Telecommunications
ISBN 9781467389990
ISSN 1550-3607
Language eng
DOI 10.1109/ICC.2017.7996800
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121243

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