Half of all passengers who are victims of a traffic accident are over 65 years old. The most common cause of accident is crossing the road without paying attention to traffic. Technical assistance systems can contribute to the safety of pedestrians and thus enable a fearless and accident-free participation of older people in road traffic or in everyday social life.
The project aims at designing intelligent warning systems for pedestrians. In an interdisciplinary team, competencies from human factors, psychology, computer science, transport, urban and spatial planning are brought together. Development and evaluation are carried out using innovative research methods, such as brain activity measurement in motion and virtual simulation environments.
For the development of the warning system, the traffic environment from the pedestrian perspective is detected by means of multi-sensor networks. For the first time physiological and psychological aspects of the interaction between humans and humans are investigated.
It is also essential to record and incorporate the necessary urban planning and transport policy requirements. Taking into account the findings, a demonstrator in the form of a rollator is implemented and evaluated in practice