From prediction to explanation: A machine learning and causal mediation framework for roadway crash risk with connected vehicle data

This paper represents the connected-vehicle and causal-explainability line of work: predictive safety models are paired with causal mediation analysis so the model output can be translated into interpretable crash-risk mechanisms.