In urban environments, automated driving offers the opportunity to improve traffic flow,
heighten user comfort and also increase traffic safety for vulnerable road users. To realize …

In today's encounters with vehicles, pedestrians are often dependent on cues in drivers'
behavior such as eye contact, postures, and gestures. With an increased level of …

Automated driving in urban environments not only has the potential to improve traffic flow
and heighten driver comfort but also to increase traffic safety, particularly for vulnerable road …

Pedestrians' acceptance of automated vehicles (AVs) depends on their trust in the AVs. We
developed a model of pedestrians' trust in AVs based on AV driving behavior and traffic …

Trust plays a decisive role in the public's acceptance of the new self-driving car technology.
In order to better understand how to promote confidence in vehicle automation safety among …

The impact of automated vehicles (AV) on pedestrians' crossing behavior has been the topic
of some recent studies, but findings are still scarce and inconclusive. The aim of this study is …

Automated vehicles (AVs) will be introduced on public roads in the future, meaning that
traditional vehicles and AVs will be sharing the urban space. There is currently little …

Automated vehicles (AVs) need to be trusted by cyclists and pedestrians where they will
share the road. To test trust, cyclists and pedestrians, and a comparison cohort of drivers …

Abstract Automated Vehicles (AVs) are being developed rapidly and tested on public roads,
but pedestrians' interaction with AV is not comprehensively understood or thoroughly …

This dissertation aims to understand the behavior of pedestrians and cyclists when
interacting with automated vehicles (AVs). The role of AVs' characteristics such as their …