Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs

Author:

Zhang ChengyeORCID,Li ZhuoxuanORCID,Cao JindeORCID,Shi XinliORCID

Publisher

Elsevier BV

Reference53 articles.

1. A hybrid deep learning pavement crack semantic segmentation;Al-Huda;Engineering Applications of Artificial Intelligence,2023

2. Evaluation of deep learning models for classification of asphalt pavement distresses;Apeagyei;International Journal of Pavement Engineering,2023

3. Fatigue and rutting lives in flexible pavement;Behiry;Ain Shams Engineering Journal,2012

4. Xgboost: A scalable tree boosting system;Chen,2016

5. Determination of allowable rutting depth based on driving safety analysis;Chen;Journal of Transportation Engineering, Part B: Pavements,2020

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