Removing Outliers from 3D Macrotexture Data by Controlling False Discovery Rate-Reference-Cited by-同舟云学术

Removing Outliers from 3D Macrotexture Data by Controlling False Discovery Rate

Published:2019-09 Issue:3 Volume:145 Page:04019016
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Bongioanni Vincent I.¹,Katicha Samer W.²,Flintsch Gerardo W.³

Affiliation:

1. Researcher, Virginia Tech Dept. of Civil and Environmental Engineering, Virginia Polytechnic Institute and State Univ., Blacksburg, VA 24061 (corresponding author).

2. Senior Research Associate, Center for Sustainable Transportation Infrastructure, Virginia Tech Transportation Institute, Blacksburg, VA 24061.

3. Director, Center for Sustainable Transportation Infrastructure, Virginia Polytechnic Institute and State Univ., Blacksburg, VA 24061.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000119

Reference15 articles.

1. ASCE. 2017. “2017 report card for America’s infrastucture—Roads report.” Accessed June 29 2018. http://www.infrastructurereportcard.org.

2. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini Y.;J. R. Stat. Soc. Ser. B (Methodological),1995

3. Anomaly detection

4. Pioneering use of continuous pavement friction measurements to develop safety performance functions, improve crash count prediction, and evaluate treatments for Virginia roads;de León Izeppi E.;Transp. Res. Rec.,2016

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