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 …
Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009
The objective of this work is to determine and study, analyze and elaborate, classify and
categorize the main risk analysis and risk-assessment methods and techniques by …
categorize the main risk analysis and risk-assessment methods and techniques by …
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 …
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
driver error, as safety studies reveal human error contributes to the majority of crashes. To …
Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks
One of the principal objectives of traffic accident analyses is to identify key factors that affect
the severity of an accident. However, with the presence of heterogeneity in the raw data …
the severity of an accident. However, with the presence of heterogeneity in the raw data …
Pedestrian crash analysis with latent class clustering method
M Sun, X Sun, D Shan - Accident Analysis & Prevention, 2019 - Elsevier
Pedestrians are the most vulnerable users of the highway transportation system. While
encouraging “Green Transportation”, a concerning fact emerges in the United States …
encouraging “Green Transportation”, a concerning fact emerges in the United States …
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 …
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 …
Fifty years of accident analysis & prevention: A bibliometric and scientometric overview
Abstract Accident Analysis & Prevention (AA&P) is a leading academic journal established
in 1969 that serves as an important scientific communication platform for road safety studies …
in 1969 that serves as an important scientific communication platform for road safety studies …