… 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 …

… used, the analysis of traffic accidents becomes difficult. In this paper, Latent Class Cluster
(LCC) is used as a preliminary tool for segmentation of 3229 accidents on rural highways in …

… latent class model consistent with a multiple risk process theory and investigates the influence
this model has on correctly identifying crash … in which a Bayesian latent class model is esti…

… 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–…

In this paper, we aim to identify the different factors that influence injury severity of highway
vehicle occupants, in particular drivers, involved in a vehicle-train collision at highway-…

… 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 …