An Ensemble Deep Learning Model for Short-Term Road Surface Temperature Prediction-Reference-Cited by-同舟云学术

An Ensemble Deep Learning Model for Short-Term Road Surface Temperature Prediction

Published:2023-03 Issue:1 Volume:149 Page:
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Dai Bingyou¹^ORCID,Yang Wenchen²^ORCID,Ji Xiaofeng³,Zhu Feng⁴^ORCID,Fang Rui⁵,Zhou Linyi⁶

Affiliation:

1. Master’s Candidate, School of Transportation Engineering, Kunming Univ. of Science and Technology, Kunming, Yunnan Province 650500, China; Research Assistant, National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants Co., Ltd., Kunming, Yunnan Province 650200, China. ORCID: .

2. Senior Engineer, National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants Co., Ltd., Kunming, Yunnan Province 650200, China; Yunnan Key Laboratory of Digital Communications, No. 9 Shuangfeng Rd., Guandu District, Kunming, Yunnan Province 650103, China. ORCID: .

3. Professor, School of Transportation Engineering, Kunming Univ. of Science and Technology, Kunming, Yunnan Province 650500, China.

4. Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Singapore (corresponding author). ORCID: .

5. Senior Engineer, National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants Co., Ltd., Kunming, Yunnan Province 650200, China; Yunnan Key Laboratory of Digital Communications, No. 9 Shuangfeng Rd., Guandu District, Kunming, Yunnan Province 650103, China.

6. Senior Engineer, Key Laboratory of Transportation Meteorology, No. 8 Yushun Rd., Jianye District, Nanjing, Jiangsu Province 210008, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.PVENG-1192

Reference30 articles.

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2. Pavement temperature prediction: Theoretical models and critical affecting factors;Chen J.;Appl. Therm. Eng.,2019

3. Chung J. C. Gulcehre K. Cho and Y. Bengio. 2014. “Empirical evaluation of gated recurrent neural networks on sequence modeling.” Preprint submitted December 11 2014. https://doi.org/10.48550/arXiv.1412.3555.

4. METRo: A New Model for Road-Condition Forecasting in Canada

5. Experimental investigation on skid resistance of asphalt pavement under various slippery conditions

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