Optimization of neural network configurations for short-term traffic flow forecasting using orthogonal design

Optimization of neural network configurations for short-term traffic flow forecasting using orthogonal design

Neural networks have been applied for short-term traffic flow forecasting with reasonable accuracy. Past traffic flow data, which has been captured by on-road sensors, is used as the inputs of neural networks. The size of this data significantly affects the performance of short-term traffic flow for...

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Bibliographic Details
Main Authors: Chan, Kit Yan, Khadem, Saghar, Dillon, Tharam
Other Authors: IEEE
Format: Conference Paper
Published: IEEE 2012
Subjects:
short-term traffic flow forecasting
orthogonal design
neural networks
sensor data
Online Access:http://hdl.handle.net/20.500.11937/3270

Internet

http://hdl.handle.net/20.500.11937/3270

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