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Li et al., 2013 - Google Patents

Urban traffic flow forecasting using Gauss–SVR with cat mapping, cloud model and PSO hybrid algorithm

Li et al., 2013

Document ID
17993306915041858811
Author
Li M
Hong W
Kang H
Publication year
Publication venue
Neurocomputing

External Links

Snippet

In order to improve forecasting accuracy of urban traffic flow, this paper applies support vector regression (SVR) model with Gauss loss function (namely Gauss–SVR) to forecast urban traffic flow. By using the input historical flow data as the validation data, the Gauss …
Continue reading at www.sciencedirect.com (other versions)

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