Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner, Nathan van de Wouw

TL;DR
This paper proposes a collective risk-based motion planning strategy for automated vehicles that considers multiple road user perspectives, leading to more ethical and efficient traffic behavior similar to human driving.
Contribution
It introduces a novel AV motion planning approach that balances risks from all road users' perspectives, promoting ethicality and improved traffic efficiency.
Findings
Collective risk minimization benefits overall traffic safety.
AVs can act assertively or conservatively based on risk perspectives.
Considering multiple perspectives enhances socially acceptable behavior.
Abstract
Recent automated vehicle (AV) motion planning strategies evolve around minimizing risk in road traffic. However, they exclusively consider risk from the AV's perspective and, as such, do not address the ethicality of its decisions for other road users. We argue that this does not reduce the risk of each road user, as risk may be different from the perspective of each road user. Indeed, minimizing the risk from the AV's perspective may not imply that the risk from the perspective of other road users is also being minimized; in fact, it may even increase. To test this hypothesis, we propose an AV motion planning strategy that supports switching risk minimization strategies between all road user perspectives. We find that the risk from the perspective of other road users can generally be considered different to the risk from the AV's perspective. Taking a collective risk perspective, i.e.,…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Autonomous Vehicle Technology and Safety · Transportation and Mobility Innovations
