Enabling Airspace Integration for High-Density On-Demand Mobility Operations

Aviation technologies and concepts have reached a level of maturity that may soon enable an era of on-demand mobility (ODM) fueled by quiet, efficient, and largely automated air taxis. However, successfully bringing such a system to fruition will require introducing ordersof-magnitude more aircraft to a given airspace volume than can be accommodated by the traditional air traffic control system, among other important technical challenges. The airspace integration problem is further compounded by requirements to set aside appropriate ground infrastructure for take-off and landing areas and ensuring these new aircraft types and their operations do not overly burden traditional airspace users and air traffic control. These challenges for ODM may be significantly reduced by extending the concepts and technologies developed to manage small unmanned aircraft systems (UAS) at low altitude— the UAS traffic management (UTM) system—to higher altitudes and aircraft with humans onboard in controlled airspace, or by equipping ODM aircraft with advanced sensors, algorithms, and interfaces. The precedent of operational freedom inherent in visual flight rules and the technologies developed for large UAS and commercial aircraft automation will contribute to the evolution of an ODM system enabled by UTM. This paper describes the set of air traffic services, normally provided by the traditional air traffic system, that an ODM system would implement to achieve the high densities needed for ODM’s economic viability. Finally, the paper proposes a framework for integrating, evaluating, and deploying low-, medium-, and high-density ODM concepts that build on each other to ensure operational and economic feasibility at every step.

[1]  John Walker,et al.  Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project , 2012 .

[2]  Yuanyuan Ding Decentralized aircraft landing scheduling at single runway non-controlled airports , 2009 .

[3]  H. Erzberger,et al.  Automated conflict resolution, arrival management, and weather avoidance for air traffic management , 2012 .

[4]  Vahram Stepanyan,et al.  Concepts of Airspace Structures and System Analysis for UAS Traffic flows for Urban Areas , 2017 .

[5]  William J. Penhallegon,et al.  Flight Deck-Based Interval Management-Spacing During Departures : Flight Crew Human-InThe-Loop Simulation , 2011 .

[6]  Paul R. Drouilhet Electronic Flight Rules (EFR)-A Concept for Enhanced Freedom of Airspace , 1980 .

[7]  John Valasek,et al.  Aircraft Landing Scheduling Optimization for Single Runway Noncontrolled Airports: Static Case , 2007 .

[8]  Heinz Erzberger,et al.  Automated Conflict Resolution For Air Traffic Control , 2005 .

[9]  Eric R. Mueller,et al.  Pilot Evaluation of a UAS Detect-and-Avoid System's Effectiveness in Remaining Well Clear , 2015 .

[10]  Shahab Hasan,et al.  AN INITIAL BENEFITS ASSESSMENT OF DISTRIBUTED AIR/GROU ND TRAFFIC MANAGEMEN T CONCEPT ELEMENTS , 2003 .

[11]  Kin Huat Low,et al.  Concept of Operations (ConOps) for Traffic Management of Unmanned Aircraft Systems (TM-UAS) in Urban Environment , 2017 .

[12]  Shahab Hasan,et al.  JPDO Case Study of NextGen High Density Operations , 2009 .

[13]  Banavar Sridhar,et al.  Strategic Planning of Efficient Oceanic Flights , 2015 .

[14]  J. Groeneweg,et al.  Enhanced VFR Transport System , 2007 .

[15]  Fast-Forwarding to a Future of On-Demand Urban Air Transportation , 2016 .

[16]  Harry N. Swenson,et al.  Design and Operational Evaluation of the Traffic Management Advisor at the Ft. Worth Air Route Traffic Control Center , 1997 .

[17]  Heinz Erzberger,et al.  Algorithm and operational concept for resolving short-range conflicts , 2010 .

[18]  Lynne Martin,et al.  Functional Allocation for Ground-Based Automated Separation Assurance in NextGen , 2010 .

[19]  Mykel J. Kochenderfer,et al.  Robust Airborne Collision Avoidance through Dynamic Programming , 2011 .

[20]  Heinz Erzberger,et al.  Transforming the NAS: The Next Generation Air Traffic Control System , 2013 .

[21]  Douglas R. Isaacson,et al.  Evaluating Alerting and Guidance Performance of a UAS Detect-And-Avoid System , 2016 .

[22]  Douglas R. Isaacson,et al.  A concurrent sequencing and deconfliction algorithm for terminal area air traffic control , 2000 .

[23]  William B Cotton,et al.  Autonomous Flight Rules Concept: User Implementation Costs and Strategies , 2014 .

[24]  Jim Griner Unmanned aircraft systems (UAS) integration in the National Airspace System (NAS) project: UAS Control and Non-Payload Communication (CNPC) System Development and Testing , 2014, ICNS 2014.

[25]  Lisa Fern,et al.  The Impact of Integrated Maneuver Guidance Information on UAS Pilots Performing the Detect and Avoid Task , 2015 .

[26]  James K. Kuchar,et al.  The Traffic Alert and Collision Avoidance System , 2007 .

[27]  R. Sengupta,et al.  Unmanned Aviation : To Be Free or Not To Be Free ? A complexity based approach , 2016 .

[28]  Marcus Johnson,et al.  Unmanned Aircraft System Traffic Management (UTM) Concept of Operations , 2016 .

[29]  Mykel J. Kochenderfer,et al.  Multi-Rotor Aircraft Collision Avoidance using Partially Observable Markov Decision Processes , 2016 .

[30]  Marcus Johnson,et al.  Flight Test Evaluation of an Unmanned Aircraft System Traffic Management (UTM) Concept for Multiple Beyond-Visual-Line-of-Sight (BVLOS) Operations , 2017 .

[31]  Jay Shively,et al.  The Impact of Suggestive Maneuver Guidance on UAS Pilots Performing the Detect and Avoid Function , 2016 .

[32]  Teresa Ann Sloan,et al.  VFR Flight Into IMC: Reducing the Hazard , 2003 .

[33]  Lisa Fern,et al.  An Evaluation of Detect and Avoid (DAA) Displays for Unmanned Aircraft Systems: The Effect of Information Level and Display Location on Pilot Performance , 2015 .

[34]  Claire J. Tomlin,et al.  Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment , 2007 .

[35]  Lynne Martin,et al.  Evaluation of the Terminal Sequencing and Spacing system for Performance-Based Navigation arrivals , 2013, 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).

[36]  David A. Domino,et al.  Feasibility and Benefits of a Cockpit Traffic Display-Based Separation Procedure for Single Runway Arrivals and Departures Implications of a Pilot Survey and Laboratory Simulations , 2009 .

[37]  Daniel M. Williams,et al.  Preliminary Validation of the Small Aircraft Transportation System Higher Volume Operations (SATS HVO) Concept , 2004 .

[38]  Valentin Polishchuk,et al.  A threshold based airspace capacity estimation method for UAS traffic management , 2017, 2017 Annual IEEE International Systems Conference (SysCon).

[39]  Parimal Kopardekar,et al.  Controller Workload Analysis Methodology to Predict Increases in Airspace Capacity , 2003 .

[40]  Parker D. Vascik Systems-Level Analysis of On Demand Mobility for Aviation , 2017 .

[41]  Joseph Post,et al.  Assessing the Benefits of NextGen Performance-Based Navigation , 2013 .

[42]  James R. Murphy,et al.  Flight Test Overview for UAS Integration in the NAS Project , 2016 .

[43]  Mykel J. Kochenderfer,et al.  Next-Generation Airborne Collision Avoidance System , 2012 .

[44]  Jaewoo Jung,et al.  Applying Required Navigation Performance Concept for Traffic Management of Small Unmanned Aircraft Systems , 2016 .

[45]  Lisa Fern,et al.  Validation of Minimum Display Requirements for a UAS Detect and Avoid System , 2017 .

[46]  Chester Gong,et al.  Concept and Laboratory Analysis of Trajectory Based Automation for Separation Assurance , 2006 .

[47]  Dou Long,et al.  Air Transportation Strategic Trade Space Modeling and Assessment Through Analysis of On-Demand Air Mobility with Electric Aircraft , 2012 .

[48]  David J. Wing,et al.  Autonomous Flight Rules - A Concept for Self-Separation in U.S. Domestic Airspace , 2011 .

[49]  Mykel J. Kochenderfer,et al.  Policy compression for aircraft collision avoidance systems , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[50]  C.R. Aragon Usability evaluation of a flight-deck airflow hazard visualization system , 2004, The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576).

[51]  Kenneth H. Goodrich,et al.  High Speed Mobility Through On-Demand Aviation , 2013 .

[52]  John E. Robinson,et al.  A Concept for Robust, High Density Terminal Air Traffic Operations , 2010 .

[53]  John E. Robinson,et al.  NASA's ATM Technology Demonstration-1: Transitioning Fuel Efficient High Throughput Arrival Operations from Simulation to Reality , 2012 .

[54]  Huabin Tang,et al.  Phase-2 evaluation of a Tactical conflict detection tool in the Terminal area , 2012, 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC).

[55]  Donald E. Swihart,et al.  Design, integration and flight test of an autonomous ground collision avoidance system , 2011 .

[56]  P. Kopardekar,et al.  Flight Test Evaluation of an Unmanned Aircraft System Traffic Management (UTM) Concept for Multiple Beyond-Visual-Line-of-Sight Operations , 2017 .

[57]  Bruce J. Holmes,et al.  Small Aircraft Transportation System Concept and Technologies , 2003 .

[58]  Confesor Santiago,et al.  Ensuring Interoperability between UAS Detect-and-Avoid and Manned Aircraft Collision Avoidance , 2017 .

[59]  Eric R. Mueller,et al.  Piloted Well Clear Performance Evaluation of Detect and Avoid Systems with Suggestive Guidance , 2016 .

[60]  Kenneth H. Goodrich,et al.  Silicon Valley as an Early Adopter for On-Demand Civil VTOL Operations , 2016 .

[61]  Matt R. Jardin Real-Time Conflict-Free Trajectory Optimization , 2003 .

[62]  Mike Lukuc,et al.  Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application , 2014 .

[63]  Lorenzo Castelli,et al.  Improved flexibility and equity for airspace users during demand-capacity imbalance - an introduction to the user-driven prioritisation process , 2016 .

[64]  John E. Robinson,et al.  Tactical Conflict Detection in Terminal Airspace , 2010 .

[65]  Savita Verma,et al.  Human Factors Evaluation of Conflict Detection Tool for Terminal Area , 2013 .

[66]  Jacquelyn Nowicke Mohl A risk analysis of unmanned aircraft systems in the National Airspace system for utility applications , 2016 .

[67]  Thomas Prevot,et al.  Human-in-the-Loop Evaluation of Ground-Based Automated Separation Assurance for NextGen , 2008 .

[68]  Joseph S. B. Mitchell,et al.  SYSTEM PERFORMANCE CHARACTERISTICS OF CENTRALIZED AND DECENTRALIZED AIR TRAFFIC SEPARATION STRATEGIES , 2001 .

[69]  Mohamad Refai,et al.  Downstream Effects of Separation Assurance on Encounters Between Unmanned and Manned Aircraft , 2017 .

[70]  H. Erzberger,et al.  Automated Separation Assurance with Weather and Uncertainty , 2014 .

[71]  Huabin Tang Tactical Conflict Detection with Altitude Restrictions in Terminal Airspace , 2019 .

[72]  John Melton,et al.  Combined Electric Aircraft and Airspace Management Design for Metro-Regional Public Transportation , 2014 .

[73]  William P. Baker,et al.  An Optimal Control Approach to Aircraft Automatic Ground Collision Avoidance , 2015 .

[74]  Mark Skoog,et al.  Small UAV Automatic Ground Collision Avoidance System Design Considerations and Flight Test Results , 2015 .