Bringing Trust to Autonomous Mobility

Last decade has been characterized by a huge

advancement in the field of automated and connected transport.

However, fully autonomous systems still need a lot of effort in

order to be applied in transportation. Meanwhile, mixed traffic

environments with semi-autonomous vehicles is becoming a

norm. In such conditions, vehicles are passing the dynamic

driving task back to the human by sending to drivers Requests

to Intervene (RtI). At the same time, there is a need to evolve

driver’s training in order to be able to safely use semiautomated

vehicles, whereas driver intervention performance

has to be made an integral part of both driver and technology

assessment. Furthermore, the ethical implications of automated

decision-making need to be properly assessed, giving rise to

novel risk and liability analysis models. In this conceptual paper

we present our vision to maximise the safety, trust and

acceptance of automated vehicles. To achieve that, we propose

an assessment framework to evaluate different technologies

involved in Automated Driving Systems (ADS).