Analytic methods in accident research: Methodological frontier and future directions
FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
A multivariate spatial model of crash frequency by transportation modes for urban intersections
This study proposes a multivariate spatial model to simultaneously analyze the occurrence
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …
Multivariate random parameters collision count data models with spatial heterogeneity
S Barua, K El-Basyouny, MT Islam - Analytic methods in accident research, 2016 - Elsevier
This study investigated the effects of including spatial heterogeneity in multivariate random
parameters models and their influence on different collision severity levels. The models …
parameters models and their influence on different collision severity levels. The models …
Full Bayesian conflict-based models for real time safety evaluation of signalized intersections
Existing advanced traffic management and emerging connected vehicles (CVs) technology
can generate considerable amount of data on vehicle positions and trajectories. This data …
can generate considerable amount of data on vehicle positions and trajectories. This data …
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model
Rural non-interstate crashes induce a significant amount of severe injuries and fatalities.
Examination of such injury patterns and the associated contributing factors is of practical …
Examination of such injury patterns and the associated contributing factors is of practical …
Multi-level Bayesian analyses for single-and multi-vehicle freeway crashes
R Yu, M Abdel-Aty - Accident Analysis & Prevention, 2013 - Elsevier
This study presents multi-level analyses for single-and multi-vehicle crashes on a
mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were …
mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were …
An explanatory analysis of driver injury severity in rear-end crashes using a decision table/Naïve Bayes (DTNB) hybrid classifier
Rear-end crashes are a major type of traffic crashes in the US Of practical necessity is a
comprehensive examination of its mechanism that results in injuries and fatalities. Decision …
comprehensive examination of its mechanism that results in injuries and fatalities. Decision …
Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data
Pedestrian and bicycle safety is a key component in traffic safety studies. Various studies
were conducted to address pedestrian and bicycle safety issues for intersections, road …
were conducted to address pedestrian and bicycle safety issues for intersections, road …
Calibration of crash risk models on freeways with limited real-time traffic data using Bayesian meta-analysis and Bayesian inference approach
This study aimed to develop a real-time crash risk model with limited data in China by using
Bayesian meta-analysis and Bayesian inference approach. A systematic review was first …
Bayesian meta-analysis and Bayesian inference approach. A systematic review was first …