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 …
Multivariate copula temporal modeling of intersection crash consequence metrics: a joint estimation of injury severity, crash type, vehicle damage and driver error
This study employs a copula-based multivariate temporal ordered probit model to
simultaneously estimate the four common intersection crash consequence metrics–driver …
simultaneously estimate the four common intersection crash consequence metrics–driver …
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 …
Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities
In the state of Florida, work-zone related crashes and their resulting injury severities have
been increasing recently, particularly over the 2015 to 2017 time period. In the current study …
been increasing recently, particularly over the 2015 to 2017 time period. In the current study …
The impact of higher speed limits on the frequency and severity of freeway crashes: Accounting for temporal shifts and unobserved heterogeneity
N Alnawmasi, F Mannering - Analytic methods in accident research, 2022 - Elsevier
In recent years, US States have raised their maximum interstate speed limits from 70 mi/h to
75 mi/h, 80 mi/h and even 85 mi/h. However, understanding the effect that these higher …
75 mi/h, 80 mi/h and even 85 mi/h. However, understanding the effect that these higher …
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
Analysis of vehicle accident-injury severities: A comparison of segment-versus accident-based latent class ordered probit models with class-probability functions
G Fountas, PC Anastasopoulos… - Analytic methods in …, 2018 - Elsevier
Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013
in the state of Washington, the injury severity level of the most severely injured vehicle …
in the state of Washington, the injury severity level of the most severely injured vehicle …
Do high visibility crosswalks improve pedestrian safety? A correlated grouped random parameters approach using naturalistic driving study data
In this study, the effectiveness of High-Visibility Crosswalks (HVCs) in improving pedestrian
safety at urban settings is assessed using SHRP2 (Second Strategic Highway Research …
safety at urban settings is assessed using SHRP2 (Second Strategic Highway Research …
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 …