Knowledge modeling and intelligent analysis of road traffic accidents

This paper proposes a method for efficiently organizing, managing, and visualizing road traffic accident data through knowledge graph technology. It begins by outlining the construction process of the road traffic accident knowledge graph based on the logical and technical architecture of knowledge graph. Then, it performs knowledge modeling and extraction using road traffic safety guidelines and accident data, storing the extracted knowledge in a Neo4j graph database. Finally, it conducts accident portrait, classification, statistics, and correlation analysis using the constructed knowledge graph. The research demonstrates that knowledge graph technology facilitates rapid querying and analysis of accident data, visualizes accident knowledge, and identifies associations between accident elements.