Improving Data Quality of Automated Pavement Condition Data Collection: Summary of State of the Practices of Transportation Agencies and Views of Professionals-Reference-Cited by-同舟云学术

Improving Data Quality of Automated Pavement Condition Data Collection: Summary of State of the Practices of Transportation Agencies and Views of Professionals

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:

Luo Xiaohua¹^ORCID,Gong Haitao²,Tao Jueqiang³,Wang Feng⁴^ORCID,Minifie Jana⁵,Qiu Xin⁶

Affiliation:

1. Postdoctoral Research Associate, Ingram School of Engineering, Texas State Univ., 601 University Dr., San Marcos, TX 78666. ORCID: .

2. Ph.D. Candidate, Material Science Engineering and Commercialization (MSEC), Texas State Univ., 601 University Dr., San Marcos, TX 78666.

3. Ph.D. Candidate, MSEC, Texas State Univ., 601 University Dr., San Marcos, TX 78666.

4. Associate Professor, Ingram School of Engineering, Texas State Univ., 601 University Dr., San Marcos, TX 78666 (corresponding author). ORCID: .

5. Professor, Dept. of Management, Texas State Univ., 601 University Dr., San Marcos, TX 78666.

6. Professor, Dept. of Road and Traffic Engineering, Zhejiang Normal Univ., 688 Yinbin Rd., Jinhua, Zhejiang 321004.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000392

Reference21 articles.

1. Chang, G., A. Gilliland, G. R. Rada, P. A. Serigos, A. L. Simpson, and S. Kouchaki. 2020. Successful practices for quality management of pavement surface condition data collection and analysis phase I: Task 2-document of successful practices. FHWA-RC-20-0007. Washington, DC: Federal Highway Administration.

2. FHWA (Federal Highway Administration). 2017. National performance management measures; assessing pavement condition for the national highway performance program and bridge condition for the national highway performance program. Washington, DC: FHWA.

3. FHWA (Federal Highway Administration). 2018. Guidelines for development and approval of state data quality management programs. Washington, DC: FHWA.

4. Quality Management of Pavement Condition Data Collection

5. Machine Learning for Crack Detection: Review and Model Performance Comparison

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