Counterfactual safety benefits quantification method for en-route driving behavior interventions

Accident Analysis & Prevention(2023)

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摘要
•Contributed to safety benefits quantification for driving behavior interventions.•Proposed a counterfactual driving behavior structural causality model based on the Theory of Planned Behavior (TPB)•Utilized Extreme Value Theory (EVT) to connect speed maintenance behavior with crash occurrence.•Established a closed-loop evaluation and optimization framework for various behavior interventions.•Observed a speed reduction of 6.30 km/h and a safety benefit of 40%, due to deceleration safety broadcasting.
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