… latent class logit models have been applied beyond more traditional applications (such as
travel mode choice, vehicle … of these class assignment strategies for latent class logit models. …

… evaluating the performance of autonomous vehicles (AVs). … These narratives contain latent
information about AV crashes … technique, to extract latent topics from unstructured AV crash …

… (18) using the Bayesian latent class model which identified six classes of collision patterns.
Classes associated with turning, multi-vehicle collisions, dark lighting conditions with …

… , a multivariate linear regression model for the latent constructs, and a multivariate ordered-…
In addition, our results highlight the value of using psycho-social latent constructs in studies …

… We study consumers’ willingness to pay for autonomous vehicles for several reasons. First, a
… classes of respondents, or potential buyers of CACs. Finally, we describe the latent classes …

… Research on autonomous vehicle (AV) models has gained momentum in recent years [1]. …
which are adversarially trained to collide with vehicles). Thus these methods may provide …

… As in latent class discrete choice models, a possibility is to assume a logit-type specification
for the mixture weights:(2) w iq = exp ( z i ′ δ q ) ∑ q = 1 Q exp ( z i ′ δ q ) , where the …

… been integrated with shared autonomous vehicles and fixed-route … latent class analysis
(LCA) approach was employed in this study because it has the ability to identify the latent classes …

… 15 and 8 latent classes of, respectively, single-vehicle and multi-vehicle crashes, and … mostly
crashes of a particular class and all the crashes of that class. The results raised three major …

… Another study developed a Bayesian latent class model that identified six classes of collision
patterns 13 . The authors pointed out the necessity of more advanced and robust collision …