Open Access
| Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 8 | |
| Section | Applications of AI and Complex Systems in Various Domains | |
| DOI | https://doi.org/10.1051/itmconf/20257202012 | |
| Published online | 13 February 2025 | |
- A. Allouch, A. Koubaa, T. Abbes, A. Ammar, Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review, Sensors 22, 3044 (2022). [CrossRef] [Google Scholar]
- M.S. Alam, A. Alavi, K. Gopalakrishnan, Machine Learning Applications in Road Pavement Management: A Comprehensive Review, Infrastructures 9, 213 (2023). [Google Scholar]
- L. Han, M. Abdel-Aty, R. Yu, C. Wang, LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data, IEEE Transactions on Intelligent Transportation Systems 99, 1-13 (2023). [Google Scholar]
- D. Schwartz, How Will Climate Change Affect Pavement Performance? ASCE Civil Eng. Source 1, 1 (2022) [Google Scholar]
- M. Bajic, S.M. Pour, A. Skar, M. Pettinari, E. Levenberg, T.S. Alstrøm, Road Roughness Estimation Using Machine Learning, arXiv 1, 01199 (2021) [Google Scholar]
- R. Ojala, A. Seppänen, Lightweight Regression Model with Prediction Interval Estimation for Computer Vision-Based Winter Road Surface Condition Monitoring, arXiv 1, 00923 (2023) [Google Scholar]
- A. Alkheder, S. Alkheder, M. Alkheder, Machine Learning Models for Traffic Prediction on Arterial Roads Using Big Data, Appl. Sci. 14, 11047 (2023) [Google Scholar]
- S. Shrestha, S. Setunge, Impact of Climate-Related Changes in Temperature on Concrete Pavement Performance, Griffith Res. Online 1, 51340 (2022) [Google Scholar]
- N. Karballaeezadeh, A. Maaruof, M. S. Danial, S. Zamani and M. Mudabbiruddin, Machine Learning Approaches for Detection/Classification and Prediction Purposes in Pavement Engineering Studies: An Overview, In 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), (Timisoara, Romania, 2023), pp. 000083-000090, doi: 10.1109/SACI58269.2023.10158577. [Google Scholar]
- M. Perttunen, O. Mazhelis, F. Cong, M. Kauppila, T. Leppänen, J. Kantola, J. Collin, S. Pirttikangas, J. Haverinen, T. Ristaniemi, J. Riekki, A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors, IEEE Sensors J. 1, 8896015 (2023). [Google Scholar]
- A. Stupina, O. Shagaeva, S. Yamaletdinov, O. Antamoshkin, R. Kuzmich, I. Ruiga, A New System for Evaluating a Siberian City: Evaluation Methodology, Civ. Eng. Archit. 9, 1318–1326 (2021). [CrossRef] [Google Scholar]
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