A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.01.002
Abstract: Abstract Unobserved heterogeneity, which has been recognized as a critical issue in crash frequency modelling, generates from multiple sources, including observable and unobservable factors, space and time instability, crash severities, etc. However, only a very… read more here.
Keywords: random parameters; hierarchical bayesian; crash; crash frequency ... See more keywords
Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types
Sign Up to like & getrecommendations! Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.100107
Abstract: In safety literature, simulation-based multivariate framework is the most commonly employed approach for analyzing multiple crash frequency dependent variables. The current research effort contributes to literature on crash frequency analysis by suggesting an alternative and… read more here.
Keywords: crash frequency; crash; model; crash types ... See more keywords
Application of random effects negative binomial model with clustered dataset for vehicle crash frequency analysis
Sign Up to like & getrecommendations! Published in 2020 at "International journal of transportation science and technology"
DOI: 10.1016/j.ijtst.2020.03.010
Abstract: Abstract One of the major challenges with vehicle crash frequency studies is how to deal with the unobserved heterogeneity in crash data. While statistical models of crash frequency analysis based on single probability distributions are… read more here.
Keywords: frequency analysis; crash frequency; crash; vehicle crash ... See more keywords