Proposed suas Safety Performance Requirements for Operations over People

Similar documents
Benefits Analysis of a Departure Management Prototype for the New York Area

RECAT Phase 2 - Approach to Airport Specific Benefits

Feasibility and Benefits of a Cockpit Traffic Display-Based Separation Procedure for Single Runway Arrivals and Departures

Automated Integration of Arrival and Departure Schedules

Speed Profiles Analysis Supporting the FAA Wake Initiatives

Bird Strike Damage Rates for Selected Commercial Jet Aircraft Todd Curtis, The AirSafe.com Foundation

Australian Association for Unmanned Systems

FAA Unmanned Aircraft Systems (UAS)

USA Near-Term Progress for Closely Spaced Parallel Runways

UAS Integration Risk Assessment Air Traffic Organization

How many accidents is a collision? Hans de Jong Eurocontrol Safety R&D Seminar, Southampton,

Integrating Unmanned Aircraft Systems (UAS) A Strategic Approach. Federal Aviation Administration. Presented to: By: Date:

March 2016 Safety Meeting

MAURITIUS CIVIL AIRWORTHINESS REQUIREMENT CHAPTER 24

Using Mobile Devices for IFR Clearance Delivery, IFR Release, and CDM Data Exchange

Analyzing Risk at the FAA Flight Systems Laboratory

Unmanned Systems Certification

RPAS integration in non segregated airspace: the SESAR approach

Unmanned Aircraft Systems (UAS) 101

NON SENSITIVE INFORMATION RELEASABLE TO THE PUBLIC HEADQUARTERS KOSOVO FORCE STANDARD OPERATING PROCEDURES

Part 107 Regulations in Plain English

Waiver Safety Explanation Guidelines

UAS in Canada Stewart Baillie Chairman Unmanned Systems Canada Sept 2015

Air Law. Iain Darby NAPC/PH-NSIL IAEA. International Atomic Energy Agency

JARUS guidelines on SORA. Annex C. Strategic Mitigation Collision Risk Assessment

Managing small RPAS/UAV operations in developing countries- a Bangladesh Experience. Presented by Bangladesh

Civil Remotely Piloted Aircraft System (RPAS) Regulations in Australia

Flying Cloud Airport (FCM) Zoning Process: Informing a Mn/DOT Path Forward

Appendix B. Comparative Risk Assessment Form

REGULATION No. 990/2017 on the operation of remotely piloted aircraft CHAPTER I. General provisions Article 1 Objective

ACAS on VLJs and LJs Assessment of safety Level (AVAL) Outcomes of the AVAL study (presented by Thierry Arino, Egis Avia)

ARMS Exercises. Capt. Gustavo Barba Member of the Board of Directors

U.S. Hospital-based EMS Helicopter Accident Rate Declines Over the Most Recent Seven-year Period

Department of Defense DIRECTIVE

ANALYSIS OF U.S. GENERAL AVIATION ACCIDENT RATES

Runway Safety Programme Global Runway Safety Action Plan

9 th USA / Europe Air Traffic Management R&D Seminar June 14 June 17, 2011 Berlin, Germany

Risk assessment for drones operations

SAFETY HIGHLIGHTS CESSNA CITATION AOPA AIR SAFETY INSTITUTE 1 SAFETY HIGHLIGHTS CESSNA CITATION

GUIDANCE FOR THE SAFE OPERATION OF MODEL AIRCRAFT, SMALL-UNMANNED AIRCRAFT AND SMALL UNMANNED SURVEILLANCE AIRCRAFT IN GUERNSEY AND ALDERNEY

Unmanned Aircraft Systems

Inadvertent IMC. Real Threat Realistic Interventions

According to FAA Advisory Circular 150/5060-5, Airport Capacity and Delay, the elements that affect airfield capacity include:

Response to Docket No. FAA , Voluntary Disclosure Reporting Program, published in the Federal Register on 19 March 2009

Airworthiness Criteria: Special Class Airworthiness Criteria for the FlightScan

Development and Testing of an Unmanned Aircraft Safety Beacon for Aerial Application Safety

Development of the Safety Case for LPV at Monastir

RPAS Working Group RPAS in Switzerland Rules and Integration

Lockheed MITRE Collaborative Effort

AERODROME SAFETY COORDINATION

Implementation of Terrain Awareness and Warning System (TAWS) Final Report to CAST. Hop Potter, AFS-210,

RE: Draft AC , titled Determining the Classification of a Change to Type Design

Definitions. U-SAFE : UAS Secure Autonomous Flight Environment. UTM: UAS Traffic Management

Aviation Noise and Emissions Symposium February 27, 2018

Establishing a Risk-Based Separation Standard for Unmanned Aircraft Self Separation

Interval Management A Brief Overview of the Concept, Benefits, and Spacing Algorithms

NEW JERSEY COUNTIES EXCESS JOINT INSURANCE FUND 9 Campus Drive, Suite 216 Parsippany, NJ Telephone (201) BULLETIN NJCE 19-04

> Aircraft Noise. Bankstown Airport Master Plan 2004/05 > 96

DRONE SIGHTINGS ANALYSIS AND RECOMMENDATIONS

Emergency Operations Plan Annex E: Helicopter Crash

Appendix 6.1: Hazard Worksheet

Amateur-Built Aircraft Safety Record Brian Poole

DRONING FOR INFORMATION

USE OF REMOTELY PILOTED AIRCRAFT AND MODEL AIRCRAFT IN AVIATION

COLLISION AVOIDANCE FOR RPAS

FAR and Military Requirements

Route Causes. The largest percentage of European helicopter. For helicopters, the journey not the destination holds the greatest risk.

CAR PART VIII SUBPART 10 OPERATION OF UNMANNED AERIAL SYSTEMS WITHIN THE UNITED ARAB EMIRATES

National Transportation Safety Board Aviation Accident Final Report

Systems (UAS) Unmanned Aircraft. Presented to: GWBAA Safety Stand Down Day. Presented by: John Meehan. Date: 17 May AUS-430 Safety & Operations

IAGSA Survey Contract Annex

Cockpit Display of Traffic Information (CDTI) Assisted Visual Separation (CAVS)

National Transportation Safety Board Aviation Incident Final Report

2017 PLSO Fall Seminar. UAV s Flying to Finished Product

AFI Flight Operations Safety Awareness Seminar (FOSAS)

Trajectory-Based Operations (TBO)

National Regulatory Profile

APPENDIX F AIRSPACE INFORMATION

NOTE TO INQUIRY BACKGROUND CRASH RATE DEFINITIONS. TRUDY AUTY, BSc, ARCS FOR LAAG

I am writing in respect of your recent request of 24 March 2015 for the release of information held by the Civil Aviation Authority (CAA).

Light UAS for forestry applications an Operational experience

Petition for Exemption

DEFINITIONS DEFINITIONS 2/11/2017 REQUIREMENTS AND LIMITATIONS OF DRONE USE IN FORENSIC ACCIDENT RECONSTRUCTION

Advanced Rating Study Guide

The Impact of Maintenance on Passenger Airline Safety

PO Box 7059 Burbank, CA Phone PHPA (7472) Professional Helicopter Pilots Association (PHPA) Submits Drone Recommendations to FAA

Western Service Area Unmanned Aircraft Systems (UAS) Update. Federal Aviation Administration. Defense Symposium

A Framework for the Development of ATM-Weather Integration

Airports and UAS: Managing UAS Operations in the Airport Vicinity

UNMANNED AERIAL SYSTEM USE

BEYOND VISUAL LINE OF SIGHT (BVLOS) UNMANNED AIR SYSTEMS (UAS) OPERATIONS IN EG D026 LULWORTH, Version 2

Unmanned Aircraft Systems (UAS): A Paradigm Shift in Aviation

Revised National Business Aviation Association (NBAA) Noise Abatement Departure Procedures (NADPs) Noise Compatibility Committee

3) There have some basic terminology of a flight plan and it is the fuel calculations

UAS operations in open and specific categories Workshop on specific category & standard scenarios

TANZANIA CIVIL AVIATION AUTHORITY AIR NAVIGATION SERVICES INSPECTORATE. Title: CONSTRUCTION OF VISUAL AND INSTRUMENT FLIGHT PROCEDURES

Advisory Circular. En Route Area Navigation Operations RNAV 5 (Formerly B-RNAV) Aviation Safety Regulatory Framework Document No.

COMMERCIAL OPERATIONS

Transportation Safety and the Allocation of Safety Improvements

The explanations of other terms used throughout the tables are contained in the section on Definitions immediately following the tables.

Transcription:

Proposed suas Safety Performance Requirements for Operations over People Brian Patterson Ted Lester Jeff Breunig Air Traffic Control Workshop 8 December 2016 Developed in Support of the: UAS EXCOM Science and Research Panel (SARP) Approved for Public Release; Distribution Unlimited. Case Number 16-3979 Non-Tech

Scope and Assumptions 2 Out of Scope suas flown within Visual Line of Sight (VLOS) and Extended VLOS (EVLOS) UAS larger than 55 pounds (25 kg) UAS faster than 200 mph Impact mitigation factors (e.g. parachutes, frangibility, etc.) Assumptions: The suas will not be flying within five miles of an airport without further mitigations The suas will be restricted to operations below 1,200 ft AGL (for the safety case) Considering both fixed and rotary suas

3 Risk Metric 3 rd Party Fatalities per suas Flight Hour 1 st Party Deriving direct economic benefit with considerable control over risk Aircrew and passengers on board aircraft 2 nd Party Deriving some economic benefit with some control over risk Aviation employees working at the time of the accident An individual on airport property 1 st Party Individuals 3 rd Party Deriving no economic benefit and no control over risk A person who is killed while in a residence, car, or other non-airport location 2 nd Party Individual 3 rd Party Individual This Methodology only looks at 3 rd Party Risk Approved for Public Release; Distribution Unlimited. Case Number XX-XXXX

suas Kinetic Energy Classifications 4 400 350 Bird strike requirements 300 250 Velocity (mph) 200 150 Bantam 100 50 Micro 0 0.5 Mini Limited 1,000 J 100 J 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Mass (kg) Kinetic Energy Micro 100 J Mini 1,000 J Limited 10,000 J Bantam 100,000 J

Risk Factors Risk Metric 3 rd Party Fatalities per suas Flight Hour 5 Risk Buckets Perceived operational risk of suas KE vs Population Density; Low, Medium, High suas Kinetic Energy (KE) Population Density Class Micro Mini Limited Bantam Weight 0.25 Kg (0.55 lb) 2 kg (4.4 lb) 9 kg (20 lb) 25 kg (55 lb) Kinetic Energy Class 0-100 J 100-1,000 J 1,000-10,000 J 10,000-100,000 J

Methodology 6 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF Population Density (PD) Crash Area (CA) Loss due to suas Internal Airworthiness Cause Loss due to Airworthiness suas system Failure, (e.g. Engine failure, C2, maintenance, operational errors, etc.) Loss due to Aerial Collision Shelter Factor (Ps) Lethality (Pk) Loss of Flight (LoF) for any reason Events Hazard Causes Loss due to suas External Operational Cause (e.g. Collision with other Aircraft, UAS etc.) Loss due to Fixed Obstacle (e.g. Collision with towers, trees, buildings, wires, ground, CFIT, etc.) Acceptable Risk Rate (TLS) TLS set for 3 rd party fatalities per flight hour Loss due to Environmental (e.g. Weather, Birds, etc.)

Scenarios 7 The scenario attempted to set up an average generic worse case situation to third party persons on the ground Looked only at cruise flight because; Was deemed to have the highest KE levels Least controllable operational mitigations 96 Total Scenarios (4x3x4x2) Four suas KE categories: Micro, Mini, Limited, and Bantam Three population density categories: Rural, Urban, and Open Air Assemblies Four suas starting altitudes: 300, 500, 700, and 1,200 (ft AGL) Two starting airspeeds (Micro 23/50, Mini 29/50, Limited 35/100, Bantam 70/200 (cruise/maximum MPH)

Target Level of Safety (TLS) 8 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF NTSB Historical Data Non-occupant fatalities due to civilian aircraft 5x10-7 ground (2 nd and 3 rd party) fatalities per flight hour DoD Range Safety Criteria for UAS 1x10-6 casualties per flight hour 1x10-7 fatalities per lifetime NRC POLICY ISSUE SECY-00-0077 5x10-7 fatalities per year General Aviation 7.5x10-5 accidents per flight hour 1x10-6 fatalities per flight hour Study of Non-Occupant Fatalities Removing 2 nd Party Fatalities Approximately 2.4 third party fatalities per year (5x10-8 per flight hour) Set TLS at 5x10-8 fatalities per flight hour

Lethality (Pk) 9 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF 1. suas terminal KE and impact angle 2. Coefficient of Restitution per impact angle KE At impact Impact Angle (IA) 3. Residual KE transfer to the human KE Transferred Lethality (Pk) 4. Lethality per residual KE (Pk) Approved for Public Release; Distribution Unlimited. Case Number XX-XXXX

Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF 1. Most common shelters and construction models Shelter Factor (Ps) 2. Research on projectile penetration of shelters constructions 10 3. suas ability to penetrate the common shelters constructions 6. Derive a probability of suas strike given shelter (Ps) 5. Average third party personnel occupation per shelter type 4. suas probability of shelter penetration per shelter type

Crash Area (CA) 11 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF

Population Density (PD) 12 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF Difference between Rural and Urban, as defined by the US Census, is approximately 500 people per mile square. The SARP used LandScan Population Data, which is a world-wide approximate 1 km by 1 km grid of average (day/night) population counts that was produced by the Oak Ridge National Laboratory Those lists were then statistically analyzed to determine the Mean, Median, and 95th percentile population densities The SARP recommends adding a ½ nm buffer to the Urbanized Areas/Urban Clusters regions to define Urban areas for the purposes of suas BVLOS operations.

13 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF Target Level of Safety (TLS) 5x10-8 fatalities per flight hour Lethality (Pk) Shelter Factor (Ps) Crash Area (CA) PK Class Micro 1.00E-04 Mini 1 Limited 1 Bantam 1 Population Density (PD) PD People per mile 2 Rural 83 Urban 7,077 Open Air Assembly 2,589,988 Risk Allocation Loss of Flight (LoF) for any reason Proposed Maximum suas Loss of Flight for any reason per flight hour Rural Urban Open Air Micro None* None* 1.0E-03 Mini 0.10 1.0E-03 2.0E-7* Limited 0.02 2.0E-04 2.0E-7* Bantam 0.01 1.0E-04 2.0E-7* * None - No requirement needed * 2.0E-7 and 1.0E-7, Requirement exceeds that required by manned aircraft part 23. Suggest these aircraft meet part 23 requirements.

Proposed Requirements for suas Flight over People 14 Loss of controlled Flight (LoF) for any reason * None - No requirement needed * 2.0E-7 and 1.0E-7, Requirement exceeds that required by manned aircraft part 23. Suggest these aircraft meet part 23 requirements.

Comparison with Draft AC: 21-17b Design Standards for Type Design Approval of UAS UAS Risk Classification for the Probability of Catastrophic Failure 15

Conclusions 16 Event Risk Equation: TLS = Pk * Ps * PD * CA * LoF Lethality (Pk) suas KE levels go from no effect to lethal very quickly, making KE lethality essentially binary (Example: on average, the KE of a 9 kg suas is safe at 6 mph and 100% lethal at 20 mph, 14 mph separates a no effect impact from a 100% lethal impact) Above 300 ft AGL, most loss of flight suas are very close too, or at Terminal Velocity at impact, regardless of initial airspeed (hover, maximum, or cruse airspeed) and therefore at lethal KE levels (excepted Micros) The real risk from suas strike (from altitude) is whether a person gets struck or not, because if they are struck, it is most likely fatal. Shelter Factor (Ps) On average, the KE of the suas is not enough to penetrate most shelter construction materials, except for windows. The limited ability (lack of KE) of the suas to penetrate shelters makes shelters very effective at reducing population exposure, thereby restricting the effectiveness of KE as a risk factor. Crash Area (CA) suas have a very small crash areas resulting in very limited area of damage effect Population Density (PD) is the single overwhelming driver of risk for suas flight over people

17 This is the copyright work of The MITRE Corporation and was produced for the U.S. Government under Contract Number DTFAWA-10-C-00080 and is subject to Federal Aviation Administration Acquisition Management System Clause 3.5-13, Rights in Data-General, Alt. III and Alt. IV (Oct. 1996). No other use other than that granted to the U.S. Government, or to those acting on behalf of the U.S. Government, under that Clause is authorized without the express written permission of The MITRE Corporation. For further information, please contact The MITRE Corporation, Contract Office, 7515 Colshire Drive, McLean, VA 22102, (703) 983-6000. The contents of this material reflect the views of the author and/or the Director of the Center for Advanced Aviation System Development, and do not necessarily reflect the views of the Federal Aviation Administration (FAA) or Department of Transportation (DOT). Neither the FAA nor the DOT makes any warranty or guarantee, or promise, expressed or implied, concerning the content or accuracy of the views expressed herein. 2016 The MITRE Corporation. MITRE acknowledges that this contribution was authored or co-authored by a contractor or affiliate of the [U.S.] Government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this document, or to allow others to do so, for Government Purposes Only. Approved for Public Release; Distribution Unlimited. Case Number XX-XXXX. Fiscal Year: 2016 Outcome Number: 6-11 PBWP Reference: Engineering Analysis to Inform UAS Science and Research Panel (SARP)