Short-time traffic flow prediction method based on integrated evaluation

Abstract

The invention discloses a short-time traffic flow prediction method based on integrated evaluation. Undetermined evaluation indexes are acquired via research and analysis and combination of actual traffic flow prediction scenes; historical data of the undetermined evaluation indexes are acquired so that a historical database is obtained; a historical data matrix based on the historical database is constructed via data preprocessing; main evaluation indexes are obtained via screening by calculating correlation coefficient of all the undetermined evaluation indexes and traffic flow, and respective contribution weight values of the main evaluation indexes are calculated; traffic flow prediction values under all the main evaluation indexes are obtained via combination of real-time traffic flow data and analysis on the traffic flow historical data in the historical database via an improved time sequence similarity measurement method; and traffic flow is predicted by adopting a linear weighed integrated evaluation method according to the obtained traffic flow prediction values under all the main evaluation indexes. Multidimensional time sequences are integrated by the method so that more accurate numerical value prediction results are obtained.

Description

technical field [0001] The invention relates to a traffic flow prediction method, in particular to a short-term traffic passenger flow prediction method based on comprehensive evaluation. Background technique [0002] In recent years, with the continuous development of the economy and the explosive growth of various types of motor vehicles, the traffic problems in cities have become increasingly serious. Under the increasing traffic pressure, the concept of intelligent transportation came into being. Intelligent transportation is the development direction of the future transportation system. It is a comprehensive transportation management system established by effectively integrating advanced information technology, data communication transmission technology, electronic sensing technology, control technology and computer technology into the entire ground traffic management system. system. Through the research and analysis of historical traffic flow data by data mining tech...

AI Technical Summary

Problems solved by technology

Moreover, the multidimensional time series prediction also focuses on the relatively macroscopic prediction analysis results and law summary based on the pattern mining of a large amount of data, but there is no accurate numerical prediction result.

Unable to apply to scenarios with high requirements for numerical prediction accuracy

The combined forecasting model has strict data requirements and complex implementation, which is difficult to implement in practical application scenarios

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