Comparison of four statistical and machine learning methods for crash severity prediction
Modeling crash spatial heterogeneity: random parameter versus geographically weighting
Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach
Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes
Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat