The invention discloses a short-time traffic-flow combination prediction method. The method comprises the following steps of step 1, presetting an acquisition period and collecting traffic flow time sequence data of a prediction target point according to the acquisition period; if a prediction day of the prediction target point is not a holiday, collecting traffic flow time sequence data of days in at least adjacent previous three weeks, wherein the days are the same weekday with the prediction day; if the prediction day of the prediction target point is a holiday, collecting traffic flow time sequence data of days in at least adjacent previous three years, wherein the days are the same holiday with the prediction day; step 2, using a set experience modal decomposition method to decompose the traffic flow time sequence data into several intrinsic mode components possessing a same characteristic; step 3, using a BP neural network algorithm to carry out prediction on each intrinsic mode component obtained through decomposition by using the set experience modal decomposition method respectively, superposing prediction results of the intrinsic mode components and acquiring a final prediction result. By using the prediction method in the invention, prediction precision of the short-time traffic flow can be effectively increased.
Short-time traffic-flow combination prediction method
2015-11-11
Patent
Electronic Resource
English
Improved adaptive traffic flow combination prediction method
European Patent Office | 2024
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