Comparison of four statistical and machine learning methods for crash severity prediction
Half-century research developments in maritime accidents: Future directions
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
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
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
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
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
Can a video-based hazard perception test used for driver licensing predict crash involvement?
Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways
Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method
Innovative motor insurance schemes: A review of current practices and emerging challenges
The economic burden of injury: Health care and productivity costs of injuries in the Netherlands
Built environment effects on cyclist injury severity in automobile-involved bicycle crashes
Re-visiting crash-speed relationships: A new perspective in crash modelling