Cross-Regional Pavement Temperature Prediction Using Transfer Learning and Random Forest

Cross-Regional Pavement Temperature Prediction Using Transfer Learning and Random Forest

Significant regional environmental differences result in varied patterns of pavement temperature changes. To enhance the cross-regional adaptability of temperature prediction models, transfer learning (TL) was introduced into the random forest (RF) model to improve its generalization capability. Fir...

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Bibliographic Details
Main Authors: Jiang Yuan, Huailei Cheng, Lijun Sun, Yadong Cao, Ruikang Yang, Tian Jin, Mingchen Li
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
pavement temperature prediction
ensemble learning
random forest
transfer learning
cross-regional modeling
Online Access:https://www.mdpi.com/2076-3417/15/13/7436
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