… for Bayesian latent class models. The Bayesian latent class model identified six classes of
collision … Classes associated with turning, multi-vehicle collisions, dark lighting conditions with …

… employed a Latent Class Analysis to identify homogeneous clusters of crashes. Additionally,
… In this study, we extracted all reported crashes on rural roads in the UK as well as vehicle–…

… latent class mixed logit model with temporal indicators to investigate highway single-vehicle
crashes … Crash data from 2010 to 2016 in Washington State is collected with a total of 31,115 …

… -vehicle crash has been recognized as a critical crash type due to its high fatality rate. In this
study, a two-year crash dataset including all single-vehicle crashes in … hierarchical Bayesian …

… disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity …
-of-fit of the latent class clustering model. We employ Bayesian Information Criteria (BIC) to …

… factors affecting motor vehicle-bicycle (MVB) crashes in Victoria… crash records from Victoria,
Australia between 2006 and 2019 was analyzed using the binary logit model and latent class …

… According to Bayesian theory, the posterior probability of a crash classified into each … A
total of five latent class models from T = 1 to T = 5 were explored in this study, and model fit …

… , which constitutes a latent class model with c categories, let X represent the latent variable
and … In this study, Bayesian inference, which can incorporate prior parameter information, was …

… Bayesian networks identified the crash type, road type and … latent class models and binary
logit models provide new information and insights on identifying contributing factors for crash …

… the traffic crash severity data, this study applies the partial proportional odds (PPO) model to
… resulting from pedestrian-vehicle crashes for each latent class that are obtained in the LCC. …