Developing RTI-IMS Software to Identify Road Surface Damages

Nowadays, applying information technology to management is considered as one of the most important innovative methods, which will improve production and management efficiency in almost all aspects of life. Because of the outstanding advantages of information technology, it has been got great attention from scientific researchers all over the world. In this research, a software with advanced new technologies is built to manage the operation and maintenance of road—traffic infrastructure network automatically and efficiently. The software mentioned above, called Road Traffic Infrastructure Intelligent Management System (RTI-IMS), was developed based on the application of machine learning technology combined with GPS navigation to be able to automatically detect and mark damaged locations or signs of downfall of roads which are in the operation stage. RTI-IMS applies Yolo V5, which is one of the best advanced technologies in infrastructure images recognition, to identify road surface damage. In addition, the software is also combined with a real-time database GPS navigation to accurately provide the information of road damages to infrastructure authorities. The result of this research is the successful development of RTI-IMS software, which has been applied to support the detection of damages along some currently operating routes. The study provides local traffic management agencies with a tool for automatically detecting and publishing images on damages along certain road sections in the transportation network in three provinces and cities of Vietnam: Quang Ngai, Dong Nai, and Ho Chi Minh City. The published images mentioned above has been compared with the corresponding values obtained through the experimental measurement method of the local traffic management agency, achieving relatively accurate results.