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
Truck crash severity in New York city: An investigation of the spatial and the time of day effects
Augmented reality warnings in vehicles: Effects of modality and specificity on effectiveness
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
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
Temporal patterns of moose-vehicle collisions with and without personal injuries
A Hybrid Latent Class Analysis Modeling Approach to Analyze Urban Expressway Crash Risk
Pre-crash scenarios at road junctions: A clustering method for car crash data
The impact of walking while using a smartphone on pedestrians’ awareness of roadside events
The effect of performance feedback on drivers’ hazard perception ability and self-ratings
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
Investigation of drivers’ behavior towards speeds using crash data and self-reported questionnaire