Publisher
Springer Science and Business Media LLC
Reference51 articles.
1. Abukhalil Y, Yamany MS, Smadi O (2022) Detection of unreported treatments in pavement management system of Iowa DOT using machine learning classification algorithm. J Transp Eng, Part B: Pavements 148:04022058. https://doi.org/10.1061/JPEODX.0000400
2. Zihan ZUA, Smadi O, Tilberg M, Yamany MS (2023) Synthesizing the performance of deep learning in vision-based pavement distress detection. Innov Infrastruct Solut 8:299. https://doi.org/10.1007/s41062-023-01250-2
3. Thompson PD, Sadasivam S, Mallela J (2017) Identification of Effective Next-Generation Pavement Performance Measures and Asset Management Methodologies to Support MAP-21 Performance Management Requirements. Federal Highway Administration: Office of Research, Development, and Technology—Office of Infrastructure Research and Development, 6300 Georgetown Pike, McLean, VA 22101-2296
4. Yao L, Dong Q, Jiang J, Ni F (2020) Deep reinforcement learning for long-term pavement maintenance planning. Comput-Aided Civ Infrastruct Eng 35:1230–1245. https://doi.org/10.1111/mice.12558
5. Naseri H, Shokoohi M, Jahanbakhsh H et al (2022) Evolutionary and swarm intelligence algorithms on pavement maintenance and rehabilitation planning. Int J Pavement Eng 23:4649–4663. https://doi.org/10.1080/10298436.2021.1969019