2011•Journal of Qingdao Technological UniversityRequires access

Application of Combination Forecast Method in Highway Traffic Volume Forecast

Junbo Wang

Open publisher page 0 citations

Abstract

Taking the highway freight volume forecasting of Jilin Province as an example,the article introduces a combination forecast model by variable weights based on the generalized inverse matrix,in combination with the existing literature research,which is used to forecast highway freight.In light of theory,the data distortion in the actual prediction of the original method was corrected by means of the application of new interest and secondary circulating iteration.The medium and long predictions were carried out and checked again by contrasting the actual data of every characteristic year.

About this research paper

What this paper is about

Taking the highway freight volume forecasting of Jilin Province as an example,the article introduces a combination forecast model by variable weights based on the generalized inverse matrix,in combination with the existing literature research,which is used to forecast highway freight.In light of theory,the data distortion in the actual prediction of the original method was corrected by means of the application of new interest and secondary circulating iteration.The medium and long predictions were carried out and checked again by contrasting the actual data of every characteristic year.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Taking the highway freight volume forecasting of Jilin Province as an example,the article introduces a combination forecast model by variable weights based on the generalized inverse matrix,in combination with the existing literature research,which is used to forecast highway freight.In light of theory,the data distortion in the actual prediction of the original method was corrected by means of the application of new interest and secondary circulating iteration.The medium and long predictions were carried out and checked again by contrasting the actual data of every characteristic year.

Key concepts: Traffic volume, Volume (thermodynamics), Inverse, Distortion (music), Computer science, Variable (mathematics), Transport engineering, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Application of Combination Forecast Method in Highway Traffic Volume Forecast — Research Paper | ScholarLens