Temperature Prediction for Expressway Pavement Icing in Winter Based on XGBoost–LSTNet Variable Weight Combination Model-Reference-Cited by-同舟云学术

Temperature Prediction for Expressway Pavement Icing in Winter Based on XGBoost–LSTNet Variable Weight Combination Model

Published:2023-07 Issue:7 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Ning¹,Mao Tianyi²,Chen Haotian²,Lv Lu³,Wang Yangchun⁴,Yan Ying⁵

Affiliation:

1. Research Fellow, Shandong Key Laboratory of Highway Technology and Safety Assessment, Shandong Hi-Speed Group Co., Ltd., Jinan 250098, China.

2. Master’s Candidate, College of Transportation Engineering, Chang’an Univ., Xi’an, Shaanxi 710064, China.

3. Ph.D. Candidate, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China.

4. Research Fellow, Shandong Key Laboratory of Highway Technology and Safety Assessment, Shandong Hi-Speed Engineering Test Co., Ltd., Jinan 250002, China.

5. Professor, College of Transportation Engineering, Chang’an Univ., Xi’an, Shaanxi 710064, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7670

Reference50 articles.

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4. A freeway travel time prediction method based on an XGBoost model;Chen Z.;Sustainability,2021