Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models

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Traffic flow prediction using orthogonal arrays and Takagi-Sugeno neural fuzzy models

Takagi-Sugeno neural fuzzy models (TS-models) have commonly been applied in the development of traffic flow predictors based on traffic flow data captured by the on-road sensors installed along a freeway. However, using all captured traffic flow data is ineffective for the TS-models for traffic flow...

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Bibliographic Details
Main Authors:	Chan, Kit Yan, Dillon, T.
Other Authors:	IEEE
Format:	Conference Paper
Published:	IEEE 2014
Subjects:	orthogonal array Sensor configuration traffic flow forecasting experimental design methods Takagi-Sugeno neural fuzzy models
Online Access:	http://hdl.handle.net/20.500.11937/34191

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