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Complexity
Volume 2017, Article ID 3515272, 16 pages
https://doi.org/10.1155/2017/3515272
Research Article

Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model

1College of Science, Wuhan University of Technology, Wuhan 430070, China
2College of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
3School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China

Correspondence should be addressed to Xinping Xiao; nc.ude.tuhw@pxoaix

Received 15 April 2017; Accepted 28 May 2017; Published 3 July 2017

Academic Editor: Bo Zeng

Copyright © 2017 Huiming Duan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Huiming Duan, Xinping Xiao, and Lingling Pei, “Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model,” Complexity, vol. 2017, Article ID 3515272, 16 pages, 2017. https://doi.org/10.1155/2017/3515272.