Machine Learning for Prediction of the International Roughness Index on Flexible Pavements: A Review, Challenges, and Future Directions
Tiago Tamagusko, Adelino Ferreira
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/infrastructures8120170 ↗
- Volume · Issue · Pages
- 8 · 12 · 170-170
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Article URL
- https://doi.org/10.3390/infrastructures8120170 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
29 Nov 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 29 Nov 2023 | OpenAlex |
Keywords (as given): International Roughness Index; flexible pavement; machine learning; decision tree ensembles; boosted trees; pavement maintenance; traffic data; climatic factors; pavement structure; model interpretability; road infrastructure management
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Based on the recorded HEC dataset applicable to the article's publication date. Listed in the HEC list for 2023–24.
- Journal
- Infrastructures
- Publication date used
- 29 Nov 2023 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- —
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 2408, row 17032
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.