Research
Projects
Advancement of an AI-Based Model for Predicting High-Risk Traffic Accident Zones and Recommending Countermeasures
AI 기반 교통사고 위험구간 예측 및 대처방안 제시 모델 고도화 용역
Client: Korea Transportation Safety Authority
Lead Institution: MTDATA
Researchers: Haneul Park, Jaehyun (Jason) So
Role of Ajou University
Classification of traffic accident types and analysis of accident causes, analysis of accident causes by accident type, advancement of use cases for traffic accident countermeasures, and advancement of the algorithm linking traffic accidents with countermeasures
Project Description
Development of an AI model for predicting traffic accident risk to identify accident causes, and its application to analyzing the complex contributing factors of traffic accidents and presenting countermeasures and prevention strategies. Specific objectives include advancement of the high-risk zone prediction model and its use cases, and development of models for new local governments along with an expansion strategy.
