Review of Applications of Artificial Intelligence Algorithms in Pavement Management-Reference-Cited by-同舟云学术

Review of Applications of Artificial Intelligence Algorithms in Pavement Management

Published:2022-09 Issue:3 Volume:148 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:

Xu Yang¹^ORCID,Zhang Zhanmin²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, Austin, TX 78712 (corresponding author). ORCID: .

2. Clyde E. Lee Endowed Professor in Transportation Engineering, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, Austin, TX 78712.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000373

Reference129 articles.

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4. Attoh-Okine, N., and O. Adarkwa. 2013. Pavement condition surveys—Overview of current practices. Newark, DE: Univ. of Delaware.

5. Avila M. S. Begot F. Duculty and T. S. Nguyen. 2014. “2D image based road pavement crack detection by calculating minimal paths and dynamic programming.” In Proc. IEEE Int. Conf. on Image Processing 783–787. New York: IEEE.

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