… In this regard, this study applies a two-stage model to a) identify latent classes of the … and
incorporating a distinct set of attitudes for each class. This approach is expected to provide a …

… We demonstrated a variational inference algorithm for Bayesian latent class … latent
class model identified six classes of collision patterns. Classes associated with turning, multi-vehicle …

… We use a discrete distribution to capture taste heterogeneity of distinct latent classes. Latent
variables, socio-demographics and travel … User preferences regarding autonomous vehicles …

… effects from vehicle automation. This study analyzes consumers’ heterogeneous preferences
for autonomous vehicles using a discrete choice experiment and a latent class model, …

… Autonomous vehicle (AV) is considered a promising mode of transport that has been tested
and deployed in various cities worldwide. However, research on how AVs will transform the …

… Using the stated preference data collected via the experiments, four latent class models
were … that three classes, we labeled as competitive, autonomous vehicle oriented, human-driven …

… Emerging autonomous vehicles (AVs) and shared mobility … Nonetheless, it is still unclear
what observable and latent … models with latent variables are employed, whereby latent attitudes …

… This outcome is likely due to the methodological approach adopted in the present study
that involved the generation of latent classes that are based on variables associated with AV-…

… We utilize latent class analysis to segregate the sample based … As per latent class analysis,
a discrete latent variable can … and conditional on latent class variables (Kemperman and …

… improvements in the field of autonomous vehicles, there is a … in the model as a latent variable.
The results showed a … for the development of autonomous vehicle controllers that adapt …