Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling
Publication type: Journal Article
Publication date: 2021-02-10
scimago Q2
wos Q2
SJR: 0.471
CiteScore: 4.6
Impact factor: 2.2
ISSN: 10760342, 1943555X
Civil and Structural Engineering
Abstract
AbstractLimited research has been conducted on the application of data analytics to the prediction of the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing the pr...
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Metrics
93
Total citations:
93
Citations from 2024:
36
(38.71%)
Cite this
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RIS |
BibTex
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GOST
Copy
Piryonesi S. M., El-Diraby T. E. Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling // Journal of Infrastructure Systems. 2021. Vol. 27. No. 2.
GOST all authors (up to 50)
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Piryonesi S. M., El-Diraby T. E. Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling // Journal of Infrastructure Systems. 2021. Vol. 27. No. 2.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1061/(ASCE)IS.1943-555X.0000602
UR - https://doi.org/10.1061/(ASCE)IS.1943-555X.0000602
TI - Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling
T2 - Journal of Infrastructure Systems
AU - Piryonesi, S Madeh
AU - El-Diraby, T E
PY - 2021
DA - 2021/02/10
PB - American Society of Civil Engineers (ASCE)
IS - 2
VL - 27
SN - 1076-0342
SN - 1943-555X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2021_Piryonesi,
author = {S Madeh Piryonesi and T E El-Diraby},
title = {Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling},
journal = {Journal of Infrastructure Systems},
year = {2021},
volume = {27},
publisher = {American Society of Civil Engineers (ASCE)},
month = {feb},
url = {https://doi.org/10.1061/(ASCE)IS.1943-555X.0000602},
number = {2},
doi = {10.1061/(ASCE)IS.1943-555X.0000602}
}