도로 사고 분석을 위한 도로 위험 정보 그래프 데이터베이스 구축

초록

As the risk of road accidents steadily increases due to increasingly complex road infrastructure, road accidents have emerged as a significant social issue. To develop effective prevention strategies for road accidents, it is necessary to comprehensively analyze various types of road risk information. To support such analysis, a method is required that systematically integrate and manage road risk information with the topological and environmental context of roads based on the relations between this information. This study proposes a graph database model to manage road risk information–including historical accident data and road obstacle information–linked with road topological context. Specifically, a conceptual model was designed based on a property graph model, comprising core entities and relationships from accident attributes and road environmental hazard factors. The proposed model was applied to data from Dobong-gu, Seoul, to construct the graph database. The utility of the proposed graph database was verified through quantitative evaluation of road obstacle extraction and qualitative query tests. The results confirmed that the proposed graph database effectively integrates road hazard information extracted from heterogeneous data and can provide the structured information necessary for analyzing potential hazards at the road level. The findings of this study are expected to serve as a practical alternative for systematically and comprehensively managing road hazard information.

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