Developing 3D Virtual Safety Risk Terrain for UAS Operations in Complex Urban Environments (2310.12349v1)
Abstract: Unmanned Aerial Systems (UAS), an integral part of the Advanced Air Mobility (AAM) vision, are capable of performing a wide spectrum of tasks in urban environments. The societal integration of UAS is a pivotal challenge, as these systems must operate harmoniously within the constraints imposed by regulations and societal concerns. In complex urban environments, UAS safety has been a perennial obstacle to their large-scale deployment. To mitigate UAS safety risk and facilitate risk-aware UAS operations planning, we propose a novel concept called \textit{3D virtual risk terrain}. This concept converts public risk constraints in an urban environment into 3D exclusion zones that UAS operations should avoid to adequately reduce risk to Entities of Value (EoV). To implement the 3D virtual risk terrain, we develop a conditional probability framework that comprehensively integrates most existing basic models for UAS ground risk. To demonstrate the concept, we build risk terrains on a Chicago downtown model and observe their characteristics under different conditions. We believe that the 3D virtual risk terrain has the potential to become a new routine tool for risk-aware UAS operations planning, urban airspace management, and policy development. The same idea can also be extended to other forms of societal impacts, such as noise, privacy, and perceived risk.
- A conceptual third party risk model for personal and unmanned aerial vehicles. In 2015 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1301–1309).
- Design of fully automatic drone parachute system with temperature compensation mechanism for civilian and military applications. Journal of Advanced Transportation, 2018, 1–11.
- Real-time risk assessment framework for unmanned aircraft system (uas) traffic management (utm). In 17th AIAA Aviation Technology, Integration, and Operations Conference.
- Ground collision severity standards for uas operating in the national airspace system (nas). In 17th AIAA Aviation Technology, Integration, and Operations Conference (p. 3778).
- Crash lethality model. Technical Report Naval Air Warfare Center Aircraft Division.
- Preliminary risk assessment for small unmanned aircraft systems. In 17th AIAA Aviation Technology, Integration, and Operations Conference (p. 3272).
- Designing airspace for urban air mobility: A review of concepts and approaches. Progress in Aerospace Sciences, 125, 100726.
- Passenger-centric urban air mobility: Fairness trade-offs and operational efficiency. Transportation Research Part C: Emerging Technologies, 136, 103519.
- Ground risk assessment for long-range inspection missions of railways by uavs. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1343–1351).
- Assessment of uam and drone noise impact on the environment based on virtual flights. Aerospace Science and Technology, 118, 106996.
- Design and injury assessment criteria for blunt ballistic impacts. Journal of Trauma and Acute Care Surgery, 57, 1218–1224.
- System-level airworthiness tool. Journal of Aircraft, 48, 777–785.
- Risk-aware guidance of a fixed-wing uav using neural network model predictive control. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1176–1184).
- CAS Authority (2013). Human injury model for small unmanned aircraft impacts. Technical Report.
- Preliminary damage severity evaluation of ground vehicles and covered walkways under collision with a small unmanned aerial vehicle (suav). In AIAA AVIATION 2022 Forum (p. 3764).
- Protocol-based congestion management for advanced air mobility. Journal of Air Transportation, 31, 35–44.
- A casualty risk analysis for unmanned aerial system (uas) operations over inhabited areas. In Proceedings of AIAC12: 2nd Australasian Unmanned Air Vehicles Conference (pp. 1–16). Bristol UAV Conference.
- Modelling the risks remotely piloted aircraft pose to people on the ground. Safety science, 101, 33–47.
- Cour-Harbo, A. l. (2020). Ground impact probability distribution for small unmanned aircraft in ballistic descent. In 2020 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1442–1451).
- Evaluating the risk of unmanned aircraft ground impacts. In 2008 16th Mediterranean Conference on Control and Automation (pp. 709–716).
- On integrating unmanned aircraft systems into the national airspace system: issues, challenges, operational restrictions, certification, and recommendations. Springer.
- Routing with privacy for drone package delivery systems. arXiv preprint arXiv:2203.04406, .
- Crowd density estimation using fusion of multi-layer features. IEEE Transactions on Intelligent Transportation Systems, 22, 4776–4787.
- European Aviation Safety Agency (2015). Concept of operations for drones: A risk based approach to regulation of unmanned aircraft.
- European Aviation Safety Agency (2016). ‘Drone Collision’ Task Force Final Report. Technical Report.
- Federal Aviation Administration (2019). Subj: Unmanned aircraft systems safety risk management policy.
- Personnel casualty study. Technical Report IIT Research Institute, Chicago, IL.
- Assessment of the risk to ground population due to an unmanned aircraft in-flight failure. In 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference (p. 9056).
- High-fidelity multi-rotor unmanned aircraft system (uas) simulation development for trajectory prediction under off-nominal flight dynamics. In 17th AIAA Aviation Technology, Integration, and Operations Conference.
- Fast crowd density estimation with convolutional neural networks. Engineering Applications of Artificial Intelligence, 43, 81–88.
- Spatial–temporal convolutional model for urban crowd density prediction based on mobile-phone signaling data. IEEE Transactions on Intelligent Transportation Systems, 23, 14661–14673.
- Multi-level aircraft feature representation and selection for aviation environmental impact analysis. Transportation Research Part C: Emerging Technologies, 143, 103824.
- Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress. Aerospace, 9, 750.
- Developing virtual acoustic terrain for urban air mobility trajectory planning. Transportation Research Part D: Transport and Environment, 120, 103794.
- Probabilistic representatives mining (prem): A clustering method for distributional data reduction. AIAA Journal, 60, 2580–2596.
- Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research. Transportation Research Part C: Emerging Technologies, 132, 103377.
- The abbreviated injury scale 2005. Update, 20082008.
- Abbreviated injury scale and injury severity score: A scoring chart. The Journal of trauma, 25, 60–64.
- Simulation of unmanned aerial vehicles in the determination of accident locations. In 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 993–1002).
- Openstreetmap: User-generated street maps. IEEE Pervasive Computing, 7, 12–18.
- Model-based fail-safe module for autonomous multirotor uavs with parachute systems. In 2019 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 406–412).
- Evaluation of drag coefficient for a quadrotor model. International Journal of Micro Air Vehicles, 15, 17568293221148378.
- Risk assessment model for uav cost-effective path planning in urban environments. IEEE Access, 8, 150162–150173.
- Short-term estimation and prediction of pedestrian density in urban hot spots based on mobile phone data. IEEE transactions on intelligent transportation systems, 23, 10827–10838.
- International Organization for Standardization (2018). Risk management — guidelines (iso 31000:2018).
- Deepcrowd: A deep model for large-scale citywide crowd density and flow prediction. IEEE Transactions on Knowledge and Data Engineering, 35, 276–290.
- Risk-based uav corridor capacity analysis above a populated area. Drones, 6.
- Weight threshold estimation of falling uavs (unmanned aerial vehicles) based on impact energy. Transportation Research Part C: Emerging Technologies, 93, 228–255.
- La Cour-Harbo, A. (2017). Quantifying risk of ground impact fatalities of power line inspection bvlos flight with small unmanned aircraft. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1352–1360).
- Unmanned aerial vehicle impacts on heat-strengthened glass. IEEE Access, 7, 104269–104278.
- Accurate ground impact footprints and probabilistic maps for risk analysis of uav missions. In 2019 IEEE Aerospace Conference (pp. 1–10).
- Spatiotemporal traffic density estimation based on adas probe data. Journal of Advanced Transportation, 2022.
- Failure analysis for an unmanned aerial vehicle using safe path planning. Journal of Aerospace Information Systems, 17, 358–369.
- Assessing and estimating risk of operating unmanned aerial systems in populated areas. In 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference chapter AIAA 2011-6918.
- Magister, T. (2010). The small unmanned aircraft blunt criterion based injury potential estimation. Safety Science, 48, 1313–1320.
- Crash area estimation for ground risk of small unmanned aerial vehicles due to propulsion system failures. In AIAA SCITECH 2022 Forum.
- A third-party casualty risk model for unmanned aircraft system operations. Reliability Engineering & System Safety, 124, 105–116.
- Sok: Security and privacy in the age of commercial drones. In 2021 IEEE Symposium on Security and Privacy (SP) (pp. 1434–1451).
- Uav path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments. Reliability Engineering & System Safety, 222, 108399.
- Dynamics of a small unmanned aircraft parachute system. Journal of Aerospace Technology and Management, 10.
- Reliability and maintenance analysis of unmanned aerial vehicles. Sensors, 18, 3171.
- From sensors data to urban traffic flow analysis. In 2019 IEEE International Smart Cities Conference (ISC2) (pp. 478–485). IEEE.
- Ground risk map for unmanned aircraft in urban environments. Journal of Intelligent & Robotic Systems, 97, 489–509.
- Application of data mining techniques for traffic density estimation and prediction. Transportation Research Procedia, 17, 321–330.
- Tolerance of the skull to blunt ballistic temporo-parietal impact. Journal of Biomechanics, 42, 2479–2485.
- Traffic density estimation method from small satellite imagery: Towards frequent remote sensing of car traffic. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1776–1781). IEEE.
- Shelley, A. V. (2016). A model of human harm from a falling unmanned aircraft: implications for uas regulation. International Journal of Aviation, Aeronautics, and Aerospace, 3, 1.
- Estimated levels of safety for small unmanned aerial vehicles and risk mitigation strategies. Journal of unmanned vehicle systems, 3, 205–221.
- Analysis of injury criteria to assess chest and abdominal injury risks in blunt and ballistic impacts. Journal of Trauma and Acute Care Surgery, 56, 651–663.
- Analysis of urban air mobility operational constraints. Journal of Air Transportation, 26, 133–146.
- A review of unmanned aircraft system ground risk models. Progress in Aerospace Sciences, 95, 24–44.
- Risk-aware urban air mobility network design with overflow redundancy. arXiv preprint arXiv:2306.05581, .
- Safety considerations for operation of unmanned aerial vehicles in the national airspace system. Technical Report.
- Collaborative crowd density estimation with mobile phones. Proc. of ACM PhoneSense, .
- Bluetooth based collaborative crowd density estimation with mobile phones. In 2013 IEEE international conference on pervasive computing and communications (PerCom) (pp. 193–200). IEEE.
- The development of ground impact models for the analysis of the risks associated with unmanned aircraft operations over inhabited areas. In Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference and the 2012 Annual European Safety and Reliability Conference (pp. 5222–5235).
- Efficient prediction of urban air mobility noise in a vertiport environment. Aerospace Science and Technology, 139, 108410.
- Road traffic density estimation and congestion detection with a hybrid observer-based strategy. Sustainable cities and society, 46, 101411.
- Uav collision risk assessment in terminal restricted area by heatmap representation. In AIAA SCITECH 2023 Forum (p. 0737).
- High-precision modeling and collision simulation of small rotor uav. Aerospace Science and Technology, 118, 106977.
- Crowd density estimation based on classification activation map and patch density level. Neural Computing and Applications, 32, 5105–5116.