Relating aggregate friction properties to asphalt pavement friction loss through laboratory testing, statistical analysis, and machine learning insights

Publication type: Journal Article
Publication date: 2025-03-05
Taylor & Francis
scimago Q1
wos Q1
SJR: 0.904
CiteScore: 8.1
Impact factor: 3.3
ISSN: 10298436, 1477268X
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El Ashwah A. S., Abdelrahman M. Relating aggregate friction properties to asphalt pavement friction loss through laboratory testing, statistical analysis, and machine learning insights // International Journal of Pavement Engineering. 2025. Vol. 26. No. 1.
GOST all authors (up to 50) Copy
El Ashwah A. S., Abdelrahman M. Relating aggregate friction properties to asphalt pavement friction loss through laboratory testing, statistical analysis, and machine learning insights // International Journal of Pavement Engineering. 2025. Vol. 26. No. 1.
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TY - JOUR
DO - 10.1080/10298436.2025.2456739
UR - https://www.tandfonline.com/doi/full/10.1080/10298436.2025.2456739
TI - Relating aggregate friction properties to asphalt pavement friction loss through laboratory testing, statistical analysis, and machine learning insights
T2 - International Journal of Pavement Engineering
AU - El Ashwah, Ahmed S
AU - Abdelrahman, Magdy
PY - 2025
DA - 2025/03/05
PB - Taylor & Francis
IS - 1
VL - 26
SN - 1029-8436
SN - 1477-268X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_El Ashwah,
author = {Ahmed S El Ashwah and Magdy Abdelrahman},
title = {Relating aggregate friction properties to asphalt pavement friction loss through laboratory testing, statistical analysis, and machine learning insights},
journal = {International Journal of Pavement Engineering},
year = {2025},
volume = {26},
publisher = {Taylor & Francis},
month = {mar},
url = {https://www.tandfonline.com/doi/full/10.1080/10298436.2025.2456739},
number = {1},
doi = {10.1080/10298436.2025.2456739}
}