  The driver's willingness to give (WTG) control in conditionally automated
driving is assessed in a virtual reality based driving-rig, through their
choice to give away driving control and through the extent to which automated
driving is adopted in a mixed-traffic environment. Within- and across-class
unobserved heterogeneity and locus of control variations are taken into
account. The choice of giving away control is modelled using the mixed logit
(MIXL) and mixed latent class (LCML) model. The significant latent segments of
the locus of control are developed into internalizers and externalizers by the
latent class model (LCM) based on the taste heterogeneity identified from the
MIXL model. Results suggest that drivers choose to "giveAway" control of the
vehicle when greater concentration/attentiveness is required (e.g., in the
nighttime) or when they are interested in performing a non-driving-related task
(NDRT). In addition, it is observed that internalizers demonstrate more
heterogeneity compared to externalizers in terms of WTG.
