Predicting effects of built environment on fatal pedestrian accidents at location-specific level: Application of XGBoost and SHAP

Survey on deep learning with class imbalance

Justin Johnson, Taghi M. Khoshgoftaar · Journal Of Big Data · 2019 · 2.8K citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

Amir Bahador Parsa, Ali Movahedi, Homa Taghipour et al. · Accident Analysis & Prevention · 2019 · 1K citations · Full text

Engineering, Automotive Engineering, Computer Science +16

Comprehensive analysis of vehicle–pedestrian crashes at intersections in Florida

Chris Lee, Mohamed Abdel‐Aty · Accident Analysis & Prevention · 2005 · 584 citations · Full text

Engineering, Automotive Engineering, Injury Prevention +14

The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections

Luis Miranda-Moreno, Patrick Morency, Ahmed El-Geneidy · Accident Analysis & Prevention · 2011 · 329 citations · Full text

Public Health, Transportation Planning, Built Environment +14

Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes

N.N. Sze, S.C. Wong · Accident Analysis & Prevention · 2007 · 326 citations

Public Health, Biostatistics, Injury Prevention +15