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.

翻译：在基于虚拟现实的驾驶模拟平台上，通过驾驶员在混合交通环境中放弃驾驶控制的选择行为及采用自动驾驶的程度，评估了其在条件自动化驾驶中的控制权移交意愿（WTG）。研究考虑了同类和跨类别的未观测异质性以及控制源差异。采用混合Logit模型（MIXL）和混合潜在类别模型（LCML）对放弃控制的选择行为进行建模。基于MIXL模型识别的偏好异质性，通过潜在类别模型（LCM）将控制源的显著潜在片段划分为内控型和外控型。结果表明，当需要更高注意力集中度（如夜间行驶）或驾驶员有意从事非驾驶相关任务（NDRT）时，其更倾向于选择"放弃"车辆控制权。此外，内控型驾驶员在控制移交意愿方面比外控型表现出更显著的异质性。