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
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
The effects of texting on driving performance in a driving simulator: the influence of driver age
The influence of daily sleep patterns of commercial truck drivers on driving performance
Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
A multivariate spatial crash frequency model for identifying sites with promise based on crash types
The economic burden of injury: Health care and productivity costs of injuries in the Netherlands
The impact of walking while using a smartphone on pedestrians’ awareness of roadside events
Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
Validation of the Driver Behaviour Questionnaire in a representative sample of drivers in Australia
Understanding the role of sleep quality and sleep duration in commercial driving safety
Effects of fog, driver experience and gender on driving behavior on S-curved road segments
Truck crash severity in New York city: An investigation of the spatial and the time of day effects