Objective The objective is to clarify the nature of cooperative moving behavior that realizes
smooth traffic with others from the viewpoint of the trade-off between self-benefit and others' …

Fully automated vehicle (FAV) technology is recognized to offer a variety of benefits, such as
increased safety, a drop in emissions, and better quality of life for people with disabilities or …

This paper presents an econometric modelling framework to unravel the communication and
mobility issues of visually impaired pedestrians in the context of connected autonomous …

This study examines the effects of self and other's intentions on their moving performance in
crossing interactions with multiple agents. An experimental task paradigm was developed to …

Understanding human interactions in today's transportation system is a prerequisite for
developing well-accepted cooperatively interacting autonomous vehicles. This paper is …

To navigate safely in traffic environments, road users must correctly predict another road
users' intentions. Understanding how road users correctly predict the intent of other road …

The automotive industry offers a variety of external human-machine interfaces (eHMIs) for
autonomous vehicles (AVs), as cars now need to be driven more safely and so-called eHMIs …

The nature of cooperative behavior has been shown to reach self-goal earlier and achieve
self-benefit by reducing interruption to others using the bird's-eye perspective task. This …

Pedestrians base their street-crossing decisions on vehicle-centric as well as driver-centric
cues. In the future, however, drivers of autonomous vehicles will be preoccupied with non …

In this dissertation a deep learning model is developed that predicts the bicyclist maneuver
intention at unsignalized intersections. In a second step, the model is expanded with a …