A review of spatial approaches in road safety
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …
determine how crashes are affected by neighboring locations, how the influence of …
The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …
been an area of research focus for many decades. However, in the absence of detailed …
Unobserved heterogeneity and the statistical analysis of highway accident data
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
Analytic methods in accident research: Methodological frontier and future directions
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 …
[HTML][HTML] GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts
to reduce them and promote sustainable transport systems. This study aimed to investigate …
to reduce them and promote sustainable transport systems. This study aimed to investigate …
Traffic conflict models to evaluate the safety of signalized intersections at the cycle level
The safety of signalized intersections has often been evaluated at an aggregate level
relating collisions to annual traffic volume and the geometric characteristics of the …
relating collisions to annual traffic volume and the geometric characteristics of the …
A study of factors affecting highway accident rates using the random-parameters tobit model
A large body of previous literature has used a variety of count-data modeling techniques to
study factors that affect the frequency of highway accidents over some time period on …
study factors that affect the frequency of highway accidents over some time period on …
Multilevel data and Bayesian analysis in traffic safety
BACKGROUND: Traditional crash prediction models, such as generalized linear regression
model, are incapable of taking into account multilevel data structure. Therefore they suffer …
model, are incapable of taking into account multilevel data structure. Therefore they suffer …
Approach-level real-time crash risk analysis for signalized intersections
Intersections are among the most dangerous roadway facilities due to the complex traffic
conflicting movements and frequent stop-and-go traffic. However, previous intersection …
conflicting movements and frequent stop-and-go traffic. However, previous intersection …