08:30 - 10:00
Mon-B17-Talk I-
Mon-Talk I-
Room: B17
Chair/s:
Arnd Engeln
Automated driving continues to approach reality. Research in traffic psychology in this area focuses on how to achieve a high level of acceptance and thus willingness to buy by designing these vehicles and their behavior accordingly. Or to put it more positively: How do these vehicles have to be designed to be pleasant and positive for passengers and other human road users? The first paper is about using an adaptation of driving behavior of automatic cars to show the passenger that the vehicle understands and takes into account the possible criticality of a situation. The second paper examines the extent to which the behavior of automated vehicles could lead to positive effects on the behavior of human drivers in the sense of model learning, and thus increase road safety. The third and fourth contributions deal with interior design for passengers of automated vehicles, certainly a key way to increase comfort. This is complemented by a contribution that examines possible use cases for automated driving in the context of one's own family, in the sense of a requirements analysis. Finally, a very special automation function, the automatic emergency call, is examined from the perspective of accident research, thus concluding the overview of current problems of automation in driving.
Is the automated driving system “aware” of the pedestrian? Results from two driving simulators
Mon-B17-Talk I-01
Presented by: Vanessa Stange
Vanessa Stange 1, Markus Steimle 2, Markus Maurer 2, Mark Vollrath 1
1 Institute of Psychology, Department of Traffic and Engineering Psychology, Technische Universität Braunschweig, 2 Institute of Control Engineering, Department of Vehicle Electronics, Technische Universität Braunschweig
In urban areas, drivers often have difficulty detecting pedestrians who want to cross the road but are obstructed by parked vehicles. Highly automated vehicles (HAVs, SAE Level 4) need to solve this problem independently and at least as safely as human drivers. We conducted two experimental studies, a stationary driving simulator study and a human&vehicle-in-the-loop study, to investigate whether passenger trust in automation can be increased and perceived risk in the driving situation can be mitigated by adjusting the driving behaviour of the HAV. We varied the lateral offset to the centre of the lane (left, right, none) and deceleration (only in the driving simulator study) when passing a parked vehicle on an urban main road (speed limit set at 50 km/h) to convey to the passenger that the vehicle is “aware” of a potential hazard caused by the presence of the parked vehicle and the pedestrian hidden by the parked vehicle. The results support the idea that it is beneficial for human passengers to be informed of the HAV's “awareness”. While the deceleration somewhat enhanced passengers’ trust, the introduction of a lateral offset did not have a substantially positive effect on passengers' perceived risk or trust. Future research should compare the effects of behavioural adjustments with other approaches, such as in-vehicle visual warnings and information systems.
Keywords: Traffic psychology, automated driving, passenger, urban area