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
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Innovative motor insurance schemes: A review of current practices and emerging challenges
The influence of daily sleep patterns of commercial truck drivers on driving performance
Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach
A multivariate spatial crash frequency model for identifying sites with promise based on crash types
Truck crash severity in New York city: An investigation of the spatial and the time of day effects
The effects of texting on driving performance in a driving simulator: the influence of driver age
Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness
Understanding the role of sleep quality and sleep duration in commercial driving safety
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Effects of fog, driver experience and gender on driving behavior on S-curved road segments
A Big-Data-based platform of workers' behavior: Observations from the field
A Big-Data-based platform of workers’ behavior: Observations from the field
Child pedestrian safety knowledge, behaviour and road injury in Cape Town, South Africa
The economic burden of injury: Health care and productivity costs of injuries in the Netherlands