Short-Term Predictions of Asphalt Pavement Rutting Using Deep-Learning Models-Reference-Cited by-同舟云学术

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Short-Term Predictions of Asphalt Pavement Rutting Using Deep-Learning Models

Published:2024-06 Issue:2 Volume:150 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:

Deng Yong¹,Shi Xianming²^ORCID

Affiliation:

1. Research Assistant Professor, National Center for Transportation Infrastructure Durability and Life-Extension (TriDurLE), Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164.

2. Director and Professor, National Center for Transportation Infrastructure Durability and Life-Extension (TriDurLE), Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.PVENG-1409

Reference52 articles.

1. Deterministic Performance Prediction Model for Rehabilitation and Management of Flexible Pavement

2. Simplified staged-homogenous Markov model for flexible pavement performance prediction

3. ARA-ERES (ARA Inc. ERES Consultants Division). 2004. “Guide for mechanistic–empirical design of new and rehabilitated pavement structures.” Accessed May 31 2019. http://onlinepubs.trb.org/onlinepubs/archive/mepdg/guide.htm.

4. Development of a Pavement Rutting Model from Experimental Data

5. Box, G. E., and G. M. Jenkins. 1970. Time series analysis: Forecasting and control. San Francisco: Holden-Day.

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