Developing the quality assurance thresholds for screening automated pavement condition data using prediction interval methods-Reference-Cited by-同舟云学术

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Developing the quality assurance thresholds for screening automated pavement condition data using prediction interval methods

Published:2023-06-15 Issue:1 Volume:24 Page:
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Tao Jueqiang¹,Wang Feng¹,Luo Xiaohua¹,Gong Haitao¹,Qiu Xin²,Faieq Ajmain¹

Affiliation:

1. Ingram School of Engineering, Texas State University, San Marcos, TX, USA

2. Department of Road and Traffic Engineering, Zhejiang Normal University, Jinhua, People’s Republic of China

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2023.2222335

Reference28 articles.

1. Arizona Department of Transportation (ADOT), 2018. Network-level pavement condition data quality management program. Arizona, Phoenix: ADOT.

2. Arkansas Deprtament of Transportation (ARDOT), 2018. System information and research division - pavement performance data quality management program. Little Rock, Arkansas: ARDOT.

3. ASTM 2010. Standard practice for preparing precision and bias statements for test methods for construction materials.

4. Caltrans, 2018. Pavement condition survey - data quality management plan. Los Angeles, California: Caltrans.

5. Automatic Road Pavement Assessment with Image Processing: Review and Comparison

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