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

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

Internet

http://hdl.handle.net/20.500.11937/34191

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