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
Child pedestrian safety knowledge, behaviour and road injury in Cape Town, South Africa
Truck crash severity in New York city: An investigation of the spatial and the time of day effects