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 …
Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: Case studies from Malaysian Federal Roads
Head-on crashes are among the most severe collision types and of great concern to road
safety authorities. Therefore, it justifies more efforts to reduce both the frequency and …
safety authorities. Therefore, it justifies more efforts to reduce both the frequency and …
The negative binomial-Lindley generalized linear model: Characteristics and application using crash data
There has been a considerable amount of work devoted by transportation safety analysts to
the development and application of new and innovative models for analyzing crash data …
the development and application of new and innovative models for analyzing crash data …
A new econometric approach for modeling several count variables: a case study of crash frequency analysis by crash type and severity
There is limited adoption of research modeling crash severity frequency considering
different crash types due to the challenge associated with analyzing large number of …
different crash types due to the challenge associated with analyzing large number of …
Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model
Accident prediction models (APMs) have been extensively used in site ranking with the
objective of identifying accident hotspots. Previously this has been achieved by using a …
objective of identifying accident hotspots. Previously this has been achieved by using a …
The influence of traffic, geometric and context variables on urban crash types: A grouped random parameter multinomial logit approach
Numerous road safety studies have been dedicated to the estimation of crash frequency and
injury severity models. However, previous research has shown that different factors may …
injury severity models. However, previous research has shown that different factors may …
Traffic volume and crashes and how crash and road characteristics affect their relationship–A meta-analysis
AK Høye, IS Hesjevoll - Accident Analysis & Prevention, 2020 - Elsevier
The present study has investigated the relationship between traffic volume and crash
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways
In an effort to improve traffic safety, there has been considerable interest in estimating crash
prediction models and identifying factors contributing to crashes. To account for crash …
prediction models and identifying factors contributing to crashes. To account for crash …
Extracting rules from autonomous-vehicle-involved crashes by applying decision tree and association rule methods
Autonomous vehicles (AVs) can dramatically reduce the number of traffic crashes and
associated fatalities by eliminating the avoidable human-error-related crash contributing …
associated fatalities by eliminating the avoidable human-error-related crash contributing …
Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types
In safety literature, simulation-based multivariate framework is the most commonly employed
approach for analyzing multiple crash frequency dependent variables. The current research …
approach for analyzing multiple crash frequency dependent variables. The current research …