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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2017-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/3515272 |