A Short-term Traffic Flow Forecasting Method Based on Comprehensive Evaluation

Abstract

The invention discloses a short-term traffic flow prediction method based on comprehensive evaluation. Through research and analysis combined with actual traffic flow prediction scenarios, undetermined evaluation indicators are obtained; historical data of the pending evaluation indicators are collected to obtain a historical database; Based on the historical data matrix of the historical database; by calculating the correlation coefficient between each pending evaluation index and the traffic flow, the main evaluation indicators are selected, and the respective contribution weights of the main evaluation indicators are calculated; combined with the real-time traffic flow data, through the improved time series The similarity measurement method analyzes the historical traffic flow data in the historical database, and obtains the traffic flow forecast value under each main evaluation index; according to the obtained traffic flow forecast value under each main evaluation index, a linear weighted comprehensive evaluation is adopted. The method predicts traffic flow, and the method of the present invention integrates multi-dimensional time series to obtain more accurate numerical prediction results.

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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