Traffic Crash Prediction and Causal Disentanglement by Machine Learning
A dual task machine learning framework integrating geographical environment, location attributes and time periodicity is proposed for road traffic accident prediction of Nanchang, which has strong robustness, and provides reliable support for dynamic risk assessment of traffic management system.