Friction Prediction Models is a computational framework that belongs to the class of pavement engineering tools and is distinguished by its purpose of quantitatively estimating tire-pavement friction characteristics under varying environmental, material, and loading conditions using empirical, theoretical, or data-driven methodologies.
241
Publications
8.5K
Citations
778
Authors
310
Institutions
Publications per year
2017–2026
106
Variants
Friction Prediction Model
Parents
Publications
241
1–5 of 241
Authors
778
- SK
4
h-index
- MK
4
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- DA
3
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- JE
3
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- AD
3
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1–5 of 778
Institutions
310
Virginia Tech
Blacksburg, United States
7 h-index
14 publications
296 citations
Southwest Jiaotong University
Chengdu, China
7 h-index
14 publications
656 citations
Oklahoma State University
Stillwater, United States
5 h-index
11 publications
402 citations
Tongji University
Shanghai, China
5 h-index
12 publications
395 citations
University of Leeds
Leeds, United Kingdom
4 h-index
11 publications
443 citations
Université Gustave Eiffel
Champs-sur-Marne, France
4 h-index
10 publications
384 citations
Tsinghua University
Beijing, China
4 h-index
14 publications
620 citations
Loughborough University
Loughborough, United Kingdom
4 h-index
9 publications
172 citations
1–8 of 310
Venues
- Tribology International
15 publications · 662 citations
14
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- Transportation Research Record Journal of the Transportation Research Board
TRR · 12 publications · 467 citations
12
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- Tire Science and Technology
8 publications · 187 citations
8
h-index
- International Journal of Pavement Engineering
8 publications · 239 citations
8
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- Vehicle System Dynamics
7 publications · 262 citations
7
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1–5