| dc.description.abstract | Indonesia has a road network spanning 543,720 km, but most of it is still significantly damaged due to vehicle growth that is not matched by infrastructure maintenance. Road condition assessments, which have been conducted manually, require a great deal of time and effort, often making them unresponsive to actual conditions on the ground. To address this challenge, this study proposes the I'm RoDa (Integrated Model Road Damage) concept, a digital-based road damage monitoring system integrated with Artificial Intelligence technology, vehicle sensors, CCTV, and Digital Twin. This system enables near-real-time monitoring of road surface and structural conditions, thereby supporting more effective, efficient, and data-driven road evaluation and repair planning processes. This concept is expected to serve as an innovative solution in road asset management systems in the era of digital transformation. | en_US |
