Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

Purpose: The current road safety diagnostic methods rely on visual inspections based on 2D drawings or field surveys, leading to subjective errors that cannot be quantified, as well as unreasonable factors such as time consumption and road closures due to field surveys. To address these issues, there is a need for practical technologies for highway maintenance and safety diagnostics, including the creation of precise road maps using MMS (Mobile Mapping System) large-scale point cloud data, and digitaltwin-based precise geometric analysis and simulations of highways. Method: We developed a technology for quickly processing high-precision MMS data and software based on digital twin for effective geometric structure analysis. Through this, we developed functions for road safety diagnostics, such as pavement grid longitudinal analysis, slope direction analysis, stormwater flow simulation, superelevation, curvature of curved sections, longitudinal slope, and sight distance analysis, and verified the analysis results for the areas of interest. Result: The causes of accidents that were difficult to diagnose through the views of existing experts and visual inspection have been more clearly identified. In particular, it has been possible to quantitatively analyze the causes of traffic accidents occurring during rainy weather (poor drainage, water pooling, defective drainage facilities), the characteristics of superelevation, and the condition of pavement damage. By comparing the presented analysis results with the actual field conditions, the validity of the diagnostic results has been confirmed. Conclusion: We aim to improve the quality of road services by implementing an intelligent disaster management and alert system, which can effectively and systematically respond to climate change, earthquakes, floods, large-scale wildfires, and other disasters in the vicinity of roads, ensuring a convenient and safe road environment.