Data reconstitution short-term traffic flow prediction method

Abstract

The invention relates to a data reconstitution short-term traffic flow prediction method used for solving the problem of traffic jam. The method includes: acquiring traffic flow data on working days, nonworking days and important festivals so as to guarantee data diversity; providing a data reconstitution method, reconstituting the acquired traffic flow data in the same continuous time period to natural numbers, creating a short-term traffic flow database, and updating the short-term traffic flow database regularly to adapt to traffic flow changes; reconstituting the traffic flow data of the current continuous time period to natural numbers; comparing the current reconstituted traffic flow data with historical data in the short-term traffic flow database in size, and capturing a similar sample range; providing a deviation value calculation method to obtain deviation values of all samples in the similar sample range; predicating by utilizing two samples with the minimum deviation value; reconstituting mass historical traffic flow data to enable the similar samples to be searched more simply, quickly and accurately. The traffic flows on the working days, nonworking days and important festivals need not to be predicated separately, and predication rapidness and accuracy are improved.

Description

technical field [0001] The invention relates to a data recombination short-term traffic flow prediction method for solving the traffic jam phenomenon and improving the accuracy and real-time performance of short-term traffic flow prediction. Background technique [0002] With the rapid development of the economy, more and more motor vehicles appear on the road, and traffic congestion is becoming more and more serious. Under the current existing road traffic conditions, intelligent traffic control can effectively improve the utilization efficiency of roads. Among them, traffic flow predictive control method is the key to realize intelligent traffic control. At present, the single traffic flow forecasting control method has great limitations, and the forecasting accuracy is generally not high; and under different traffic conditions, the forecasting accuracy between different methods is also quite different. The traffic flow forecasting method based on the combined method is ...

AI Technical Summary

Problems solved by technology

In the process of finding similar samples, this method judges the similarity between samples by calculating the Euclidean distance between samples, resulting in the found similar samples containing some non-similar samples, and the prediction accuracy is low.

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