Application of Machine Learning Techniques to Predict the Occurrence of Distraction-affected Crashes with Phone-Use Data

Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling

(2020) Khaled Shaaban et al.   PLoS One

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

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

Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk

(2019) George Panagopoulos et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Students Are Rarely Independent: When, Why, and How to Use Random Effects in Discipline-Based Education Research

(2018) Elli Theobald   CBE-Life Sciences Education

Prevalence of and Attitudes About Distracted Driving in College Students

(2015) Linda Hill et al.   Traffic Injury Prevention

Estimating risk effects of driving distraction: A dynamic errorable car-following model

(2015) Jay Przybyla et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Validation of Crash Modification Factors Derived from Cross-Sectional Studies with Regression Models

(2015) Lingtao Wu et al.   TRANSPORTATION RESEARCH RECORD

Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers

(2014) Sheila G. Klauer et al.   NEW ENGLAND JOURNAL OF MEDICINE

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

(2010) Dominique Lord et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Effect of Increases in Speed Limits on Severities of Injuries in Accidents

(2009) Nataliya V. Malyshkina et al.   TRANSPORTATION RESEARCH RECORD

Crash Prediction Models for Rural Motorways

(2009) Alfonso Montella 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