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
Analyzing pedestrian crash injury severity at signalized and non-signalized locations
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Exposure measurement in bicycle safety analysis: A review of the literature
Exposure measurement in bicycle safety analysis. A review of the literature
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
Perceived traffic risk for cyclists: the impact of near miss and collision experiences
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
Half-century research developments in maritime accidents: Future directions
Knowledge, attitude and practices for design for safety: A study on civil & structural engineers
Knowledge, attitude and practices for design for safety: A study on civil & structural engineers
Truck crash severity in New York city: An investigation of the spatial and the time of day effects