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Traffic Conflict Identification and Risk Assessment at Ramp Merging Areas Based on Improved XGBoost and SHAP
Publisher: American Society of Civil Engineers
Abstract: AbstractRamp merging areas are high-risk zones for traffic accidents due to the high traffic
density and frequent changes in vehicle speed. This study proposes a comprehensive
approach that integrates machine learning with ...
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