Author(s)

Ruiqi Jia

Corresponding Author

Ruiqi Jia

Abstract

In view of the problems of incomplete analysis of influencing factors, insufficient model accuracy and small sample size in the current project cost prediction, based on grounded theory, BIM theory and related theories of machine learning, the key influencing factors are identified through feature screening, a BIM integrated prediction model is established, and the model is used to optimize parameters to improve the prediction accuracy. Verified by actual engineering cases, this model can effectively improve the accuracy and reliability of highway engineering cost prediction and provide a scientific reference for investment decisions.

Keywords

Highway Engineering, Influencing Factors of Cost, Cost Prediction Model