Gradient boosting models using spatial complexity and temporal features predict accident severity in aggregated and disaggregated New York City data, highlighting feature importance.
Comparison of four statistical and machine learning methods for crash severity prediction, Accident Analysis & Prevention
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Modeling Severe Traffic Accidents With Spatial And Temporal Features
Gradient boosting models using spatial complexity and temporal features predict accident severity in aggregated and disaggregated New York City data, highlighting feature importance.