Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management

(2021) Yajie Zou et al.   JOURNAL OF ADVANCED TRANSPORTATION

Uncovering the behaviour of road accidents in urban areas

(2020) C. Cabrera-Arnau et al.   Royal Society Open Science

Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach

(2020) Tianyi Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Evaluating the Nonlinear Correlation between Vertical Curve Features and Crash Frequency on Highways Using Random Forests

(2020) Ziyuan Pu et al.   Journal of Transportation Engineering Part A-Systems

An ensemble machine learning‐based modeling framework for analysis of traffic crash frequency

(2019) Xiang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

(2019) Cheng Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparison of Sichel and Negative Binomial Models in Hot Spot Identification

(2015) Lingtao Wu et al.   TRANSPORTATION RESEARCH RECORD

Decision trees: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

Development of Accident Modification Factors for Rural Frontage Road Segments in Texas Using Generalized Additive Models

(2010) Xiugang Li et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Crash Frequency Analysis with Generalized Additive Models

(2008) Yuanchang Xie et al.   TRANSPORTATION RESEARCH RECORD

Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: A Bayesian perspective

(2007) Dominique Lord et al.   SAFETY SCIENCE