Prediction of Asphalt Pavement International Roughness Index (IRI) by Combined Approach of Empirical Regression and Markov
The most commonly used approach to predict pavement performance is regression equation based on field data. But there is a large gap between the predicted and actual values. Markov approach can be used to predict this gap and make regression values closer to measured values. Based on the field international roughness index (IRI) data obtained from test sections TXLF210016 located at 281# highway in U.S. from 1997-2005, this paper uses a combined approach by empirical regression and Markov to predict the IRI data from 2005 to 2011. The principal and prediction process was described in detail. Prediction results are very good, providing a new approach to prediction of similar pavement performance.
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Availability:
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Supplemental Notes:
- © 2013 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Zhao, Zhizhong
- Guo, Zhongyin
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Conference:
- Fourth International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2013-10-19 to 2013-10-20
- Publication Date: 2013-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 2106-2113
- Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Subject/Index Terms
- TRT Terms: Asphalt pavements; Empirical methods; Markov processes; Pavement performance; Regression analysis; Roughness
- Identifier Terms: International Roughness Index
- Geographic Terms: United States
- Subject Areas: Highways; Pavements; I22: Design of Pavements, Railways and Guideways;
Filing Info
- Accession Number: 01522435
- Record Type: Publication
- ISBN: 9780784413159
- Files: TRIS, ASCE
- Created Date: Apr 22 2014 4:07PM