Short-term traffic flow prediction system based on SARIMA-GA-Elman combined model
A traffic flow and combined model technology, which is applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problem that wavelet neural network cannot effectively avoid overfitting
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[0046] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0047] The short-term traffic flow forecasting system based on SARIMA-GA-Elman combined model includes the following steps:
[0048] 1) Modeling of SARIMA model;
[0049] The modeling of SARIMA model in described step 1) comprises the steps:
[0050] ① Judging whether the time series is stable or not based on the mean value, variance, and autocorrelation coefficient graph of the time series data;
[0051] ② Differentiate the non-stationary time series to reach a stationary state;
[0052] ③Determine the p, d, q, P, D, Q, S of the model by observing and drawing the autocorrelation coefficient map, partial autocorrelation coefficient map, heat map, etc.;
[0053] ④ Fit t...
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