Automated vehicles (AVs) have left the laboratories and can be experienced in several
projects, eg at the premises of a clinic in Germany. With this transition, research on AV attitudes …

… to automated vehicles that was provided to help individuals make informed responses to
the survey (eg, the definition of a partially-automated vehicle versus a fully-automated vehicle), …

… automated driving closer to road use. However, one of the most important factors affecting
public acceptance of automated vehicles (… selected predictor variables and their SHAP values …

… This work shows how machine learning can be used for the prediction of a cut-in manoeuvre
of a vehicle, which we refer to as target vehicle, from a host vehicle perspective. A real-life …

… This can help explain why PEOU was not a direct predictor of full automation vehicle
usage. Regarding the differences across age groups, our finding was consistent with that in (…

… DRIVERTIVE is a mechanically automated vehicle that carries multiple sensors for environment
perception, such as an HDL-32E lidar, three radars, and multiple cameras. The objective …

… automated vehicles are available, and questions based on attitudinal constructs that are linked
to automated vehicles. … between private automated vehicles, shared automated vehicles (…

… This field study aims at understanding the influence of direct experience of an automated
vehicle (AV, Level 3) and explaining and predicting public acceptance of AVs through a …

… P-value is around 0.5, it indicates that the predicted value of the … value, when the P-value
is close to 0 or 1, it indicates that the predicted value has a large deviation from the actual value…

… prediction module, which aims at predicting the state of the vehicles related to the automated
vehicle in … of each vehicle are produced based on information received by the neighboring …