One of the main factors in the development of societies and the provision of public services is the condition of road networks. Especially road pavements with flexible superstructure experience structural deterioration over time. This degradation is the key problem that negatively affects sustainable urban development. Many road defects occur as a result of this process. Completing the maintenance and repair of defects is a very difficult process. In general, the process of detecting defects in road networks is carried out manually. This situation creates confusion in maintenance and repair. In this study, it is aimed to prioritize the defects occurring in road networks in terms of maintenance and repair. To this end, a three-step solution approach is proposed: (i) determining 13 sub criteria, (ii) prioritization the criteria with Best-Worst Method (BWM), (iii) automatic detection of the five highest priority road defects with YOLOv8. It is clear that it will provide guidance to road network managers about the process of defects. As a result, the damages caused by road defects have been minimized with a prioritization approach, providing comfortable and safe transportation for traffic components.