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
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
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
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
Half-century research developments in maritime accidents: Future directions
Innovative motor insurance schemes: A review of current practices and emerging challenges
The impact of walking while using a smartphone on pedestrians’ awareness of roadside events
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level
The influence of daily sleep patterns of commercial truck drivers on driving performance
Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach
Built environment effects on cyclist injury severity in automobile-involved bicycle crashes
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods