Comparison of four statistical and machine learning methods for crash severity prediction
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Critical factors and paths influencing construction workers' safety risk tolerances
Critical factors and paths influencing construction workers’ safety risk tolerances
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
Half-century research developments in maritime accidents: Future directions
Exposure measurement in bicycle safety analysis: A review of the literature
Exposure measurement in bicycle safety analysis. A review of the literature
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
Innovative motor insurance schemes: A review of current practices and emerging challenges
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
The influence of daily sleep patterns of commercial truck drivers on driving performance
Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways
A multivariate spatial crash frequency model for identifying sites with promise based on crash types