A Simulation Study of Risk-Aware Path Planning in Mitigating the Third-Party Risk of a Commercial UAS Operation in an Urban Area

A Simulation Study of Risk-Aware Path Planning in Mitigating the Third-Party Risk of a Commercial UAS Operation in an Urban Area

He, X. (TU Delft Air Transport & Operations; City University of Hong Kong)
Jiang, C. (TU Delft Air Transport & Operations)
Li, L. (TU Delft Air Transport & Operations; City University of Hong Kong)
Blom, H.A.P. (TU Delft Air Transport & Operations)

2022

UAS-based commercial services such as urban parcel delivery are expected to grow in the upcoming years and may lead to a large volume of UAS operations in urban areas. These flights may pose safety risks to persons and property on the ground, which are referred to as third-party risks. Path-planning methods have been developed to generate a nominal flight path for each UAS flight that poses relative low third-party risks by passing over less risky areas, e.g., areas with low-density unsheltered populations. However, it is not clear if risk minimization per flight works well in a commercial UAS operation that involves a large number of annual flights in an urban area. Recently, it has been shown that when using shortest flight path planning, a UAS-based parcel delivery service in an urban area can lead to society-critical third-party risk levels. The aim of this paper is to evaluate the mitigating effect of state-of-the-art risk-aware path planning on these society-critical third-party risk levels. To accomplish this, a third-party risk simulation using the shortest paths is extended with a state-of-the-art risk-aware path-planning method, and the societal effects on third-party risk levels have been assessed and compared to those obtained using shortest paths. The results show that state-of-the-art risk-aware path planning can reduce the total number of fatalities in an area, but at the cost of a critical increase in safety risks for persons living in areas that are favored by a state-of-the-art risk-aware path-planning method.

flight volume
risk assessment
unmanned aircraft system
urban air delivery

http://resolver.tudelft.nl/uuid:340878da-be55-43a7-8f7b-9d923f9b9097

https://doi.org/10.3390/aerospace9110682

2226-4310

Aerospace — Open Access Aeronautics and Astronautics Journal, 9 (11)

Institutional Repository

journal article

© 2022 X. He, C. Jiang, L. Li, H.A.P. Blom