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
Innovative motor insurance schemes: A review of current practices and emerging challenges
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Critical factors and paths influencing construction workers' safety risk tolerances
Critical factors and paths influencing construction workers’ safety risk tolerances
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
The effects of texting on driving performance in a driving simulator: the influence of driver age
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness
Perceived traffic risk for cyclists: the impact of near miss and collision experiences
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
The economic burden of injury: Health care and productivity costs of injuries in the Netherlands