Short-term traffic flow weighted combination prediction method
A technology of short-term traffic flow and weighted combination, which is applied in traffic flow detection, traffic control systems, neural learning methods, etc., and can solve problems such as large amount of calculation, low accuracy of complex traffic flow prediction, and complex algorithms
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[0052] figure 1 It is a flow chart of the short-term traffic flow weighted combination forecasting method provided by the present invention. figure 1 , using the improved The nearest neighbor non-parametric regression method evaluates the similarity between the points in the historical database and the current point by calculating the matching distance, and selects the closest point to the current point Short-term traffic flow forecasting for neighboring points; using the fuzzy neural network model, the class most similar to the current point in the historical database is used as the training sample of the fuzzy neural network, and then predicts after training; then according to the prediction error of the previous period , determine the weight of the combination method, and weight the combined output.
[0053] The specific formula for evaluating the similarity of the current point and the point in the historical database with the weighted Euclidean distance method is:
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