Fractal Analysis of the Relation between the Observation Scale and the Prediction Cycle in Short-Term Traffic Flow Prediction-Reference-Cited by-同舟云学术

Fractal Analysis of the Relation between the Observation Scale and the Prediction Cycle in Short-Term Traffic Flow Prediction

Published:2018-01-16 Issue:1 Volume:17 Page:1-8
ISSN:1348-8503
Container-title:International Journal of Intelligent Transportation Systems Research
language:en
Short-container-title:Int. J. ITS Res.

Author:

Zhang Sheng,Huang Zhong-xiang

Funder

National Natural Science Foundation Council of China

Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety(Changsha University of Science & Technology), Ministry of Education

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Link

http://link.springer.com/article/10.1007/s13177-017-0151-5/fulltext.html

Reference15 articles.

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3. Smith, B.L., Demetsky, M.J.: Short-term traffic flow prediction: neural network approach. Transp. Res. Rec. 1453, 98–104 (1994)

4. Park, D., Rilett, L.R.: Forecasting freeway link travel times with a multilayer feedforward neural network. International Journal of Computer-Aided Civil and Infrastructure Engineering. 14, 357–367 (1999. special issue). https://doi.org/10.1111/0885-9507.00154

5. Davis, G.A., Nihan, N.L.: Nonparametric regression and short-term freeway traffic forecasting. J. Transp. Eng. 117(4), 178–188 (1991). https://doi.org/10.1061/(ASCE)0733-947X(1991)117:2(178)

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