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

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

The traffic-flow system has basic dynamic characteristics. This feature provides a theoretical basis for constructing a reasonable and effective model for the traffic-flow system. The research on short-term traffic-flow forecasting is of wide interest. Its results can be applied directly to advanced...

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Bibliographic Details
Main Authors:	Huiming Duan, Xinping Xiao, Lingling Pei
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2017-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2017/3515272

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