Road network heavy truck traffic flow prediction method based on data quality control

Abstract

The invention relates to a road network heavy truck traffic flow prediction method based on data quality control, which is characterized in that two data sources of GPS flow data and toll station monitoring data are divided into three types of data road sections, and different prediction methods are respectively adopted. For a road section with GPS flow data, due to the fact that the GPS data arenot completely obtained, a method that sample expansion is conducted through a piecewise constant coefficient method and then long-short-term recurrent neural network prediction is conducted is adopted. And for a data-free road section without GPS data, a K nearest neighbor algorithm is adopted to predict the flow. For a toll station monitoring data road section, due to comprehensive data samples,a long-short-term recurrent neural network algorithm is directly adopted for prediction. According to the method, starting from the actual engineering problem faced by flow prediction, multiple datasource characteristics are analyzed to improve the data quality, then the road network heavy truck flow measurement and calculation method is established, and finally the road network heavy truck flowbased on data quality control is formed.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for predicting traffic flow of heavy trucks in a road network based on data quality control. Background technique [0002] In recent years, the growth rate of heavy goods vehicles has increased year by year. Based on the existing road resources, the increase of heavy trucks will lead to vehicle congestion and affect the daily travel of residents, and the traffic contradiction between trucks and buses is very prominent. The management department often adopts policies such as restricting traffic during special time periods to regulate, but the policy is often ineffective due to problems such as lack of data and insufficient theoretical support. Making full use of a variety of data and adopting scientific theoretical methods to accurately predict the traffic flow of heavy trucks can provide theoretical support for solving problems such as heavy truck congestion in...

AI Technical Summary

Problems solved by technology

Existing studies often only analyze and predict a certain road section, the research is not comprehensive enough, and the universality is not strong

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