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
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
Innovative motor insurance schemes: A review of current practices and emerging challenges
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
The impact of walking while using a smartphone on pedestrians’ awareness of roadside events
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Truck crash severity in New York city: An investigation of the spatial and the time of day effects
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways