Urban traffic flow prediction method based on tensor filling
A forecasting method and technology of traffic flow, applied in the direction of traffic flow detection, etc., can solve the problems of sudden failure and incompleteness of acquisition equipment, failure to overcome the accuracy of traffic flow, etc., and achieve the effect of overcoming poor forecasting accuracy and improving forecasting accuracy.
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[0031] The technical solution of the present invention will be described in detail below in conjunction with the drawings.
[0032] The present invention is a method for predicting urban traffic flow based on tensor filling, including the following steps:
[0033] Step S1: Collect traffic flow state data near the predicted point;
[0034] Step S2: Make initial filling based on the collected traffic data;
[0035] Step S3: Establish a traffic data tensor;
[0036] Step S4: According to the traffic flow data tensor, dynamic filling is decomposed based on the tensor, and dynamic filling prediction is performed.
[0037] Further, in this embodiment, the traffic flow state data includes: the number of vehicles passing by the corresponding day, time, and location. The collected traffic flow state data is processed by the above method through a remote server, and the traffic flow is predicted.
[0038] Further, in this embodiment, traffic flow data of k locations adjacent to the same time m day...
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