This application discloses a method,
system, electronic device, and storage medium for generating teaching case scripts for
road traffic accidents. The method includes: acquiring
road traffic accident investigation report text,
parsing the text, and extracting structured accident element information; based on the structured accident element information, using a preset typicality assessment model to evaluate the teaching value of accident cases, obtaining a typicality
score, and selecting cases with scores higher than a preset threshold; based on an accident causal chain
theory model, classifying the causal elements in the accident element information into multi-level causal chains, conducting in-depth
causal analysis, and generating a visualized accident causal map; extracting related driving knowledge points and skills to generate corresponding
accident prevention measure texts; and automatically generating structured teaching case scripts using a
natural language generation engine. This application helps students fully understand the mechanism of accident occurrence, establish risk awareness, and improve
safe driving awareness.