Analysis reveals machine learning and IoT integration improve infrastructure resilience, indicating effective climate adaptation strategies.
The paper presents approaches to managing risks of transport infrastructure damage using machine learning, preventive maintenance, innovative materials, and real-time defect detection. It highlights data integration from IoT, satellite, and LIDAR, climate adaptation, CNN-based monitoring, and adaptive asset management to enhance road resilience under limited resources.
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Z. V. Kornilova (2025) studied this question.
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