Shift Work Schedule

The current schedule selected for MQ-1B Medium Altitude, Long Endurance (MALE) UAS squadron tasks the crews with six continuous days of operation.  This requires the crew to work for 48 hours and, at a minimum, spend roughly 60 hours in work related activities.  This includes a minimum 30-minute commute, plus 1 hour of prep time before the shift.  The decision to expose the crews to this schedule is questionable as there are already reports of fatigue and inadequate sleep from the crew.  An initial recommendation to combat fatigue would be to decrease the shift frequency from 6 to 5 days, while maintaining two days off’ this is shown in Figure 1.  This decreases the total continuous operating time and provides for more frequent rest for the crews. A crew that is not experiencing fatigue can maintain the “operator involved in the crucial tasks to the extent that any task emergencies are recognized and acted on within a critical time envelope” (Barnes & Matz, 1998).  Reducing the total continuous days of work also reduces the level of social and water isolation experienced by the crews.
The cognitive load associated with operating an UAS, along with the level of stress from performing military operations, can be compared to stressors experienced by Air Traffic Controllers (ATC).  Both career fields expose the operators to long missions, high level of stress, and a high cognitive demand.  The FAA has commissioned studies on the effectiveness and effect of multiple shifts on stress and fatigue.  A commonly used shift is called the counterclockwise shift, which progressively moves the shift start date earlier with every shift.  This was ultimately found to be counterproductive as it reduced the hours and quality of sleep on the ATCs (Signal & Gander, 2007).  Applying this research to UAS crews provides insight on what can be recommended from a human factors perspective.  This first improvement would be the incorporation of short duration naps within the schedule.  “A daytime nap as short as 10-min can improve alertness and performance for about 2.5 h in the face of prior sleep loss, and for almost 4 h if preceded by normal sleep” (Ficca, Axelsson, Mollicone, Muto, & Vitiello, 2010).
A subsequent improvement to the UAS crew schedule would result in the implementation of a rotating clockwise schedule.  This type of schedule moves the start date to the right, later each shift, to provide additional opportunities for sleep.  The shifts would start one hour later each day for all teams; the progressive nature of the change provides more time to sleep in order for the crew to recover from compounded fatigue.  In addition to the progressive schedule, the crews would be required to participate in periodic stress and fatigue assessments for further adjustments.  Waiting for a crewmember to report symptoms is not conducive to safe operations.  The evaluations would include the requirement for all crewmembers to wear a sleep monitoring device to ensure accurate sleep tracking. 
The quality of sleep is a critical component of the health assessment of the crew.  Lack of sleep is a direct contributor to reduced cognitive function and poor performance from the crew. A progressive shift, naps, and sleep monitoring provide the best way to ensure proper crew rest and optimum operational capabilities from the crew.  In the same manner that an air vehicle undergoes preventive maintenance, the crew and operators require monitoring for optimum performance.


Figure 1.  Existing and Proposed shift scheduled for UAS operators.

References

Barnes, M. J., & Matz, M. F. (1998). Crew simulations for Unmanned Aerial Vehicle (UAV) applications: Sustained effects, shift factors, interface issues, and crew size. Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting (pp. 143-147). Ft. Huachuca: ProQuest Central.
Ficca, G., Axelsson, J., Mollicone, D. J., Muto, V., & Vitiello, M. V. (2010). Naps, cognition and performance. Sleep Medicine Reviews, 14, 249-258.
Signal, T. L., & Gander, P. H. (2007, September). Rapid Counterclockwise Shift Rotation in Air Traffic Control: Effects on Sleep and Night Work. Aviation, Space, and Environmental Medicine, 78(9), 878-885.


UAS Beyond Line of Sight Operations

The UAS selected for Beyond Line of Sight (BLOS) operations is the Global Hawk, manufactured by Northrop Grumman.  The Global Hawk was one of the platforms developed from the High Altitude Endurance Unmanned Air Vehicle (HAE UAV) program led by the Defense Airborne Reconnaissance Office (DARO) and Defense Advanced Research Projects Agency (DARPA).  It was designed for high altitude and long duration BLOS missions.  The UAS consists of three main components: the Unmanned Air Vehicle (UAV) , the Launch and Recovery Element (LRE), and the Mission Control Element (MCE) (Northrop Grumman, 2014).  The LRE and MCE comprise the AN/MSQ-131 Ground Control Station (DTIC, 2004 ).
The UAV is composed of the airframe and its payload/sensor suite. The wings, tail, and nose are manufactured using carbon composites, and the rest of the fuselage is made from aluminum (Advanced Composites Bulletin, 2009).  Development of the UAV has continued since the initial configuration to address specific mission or customer requirements.  Different configurations include Block 0 (development system) currently operated by NASA, Blocks 10/20/30/40 operated by the U.S. Air Force, BAMS-D for the U.S. Navy, Euro Hawk configuration, NATO AGS, and U.S. Navy Triton (Northrop Grumman, 2014).  The increasing Block numbers represent upgrades in sensor suites and airframe changes.  A Rolls Royce AE3007EH turbofan engine provides propulsion and electrical power to the Global Hawk (Rolls Royce, 2014).  The UAV is capable of flying at an altitude over 60,000 feet and has mission duration of over 32 hours (Northrop Grumman, 2014).
The LRE controls the takeoff and landing of the Global Hawk.  The LRE is located at the base where the UAV operates.  It houses one pilot that has no control on sensor operations. The pilot also communicates with the respective air control facilities and ensures the UAV can be “handed off” to the Mission Control Element (MCE) (Kinzig, 2010).  The MCE takes over Command and Control (C2) from the LRE for the operation of the Global Hawk for the duration of the mission.  There is one pilot and a sensor operator that controls the vehicle’s payloads.  This is also where mission planning takes place.  The MCE provides “aircraft health and status, sensors status and a means to alter the navigational track of the aircraft” (940th Wing Public Affairs , 2009). 
BLOS operation of the UAS is supported by a variety on links.  The LRE maintains an UHF LOS link with the UAV at a forward operating location.  The MCE maintains a Ku Band link with the UAV while on flight to transmit data and receive imagery from the payloads.  Handoff from the LRE to MCE, and vice versa, is supported by an Inmarsat link that provides communication between them and the UAV.  The system also utilizes an UHF SATCOM link on the MCE and LRE as a means to ensure no instances of lost link situations.
BLOS operations have a great advantage, in that they provide for a method of command and control for an UAS regardless of the distance between the operator and the air vehicle.  Switching from LOS to BLOS operations requires a reliable control link with the UAS to ensure handoff.  The switch to and from BLOS also requires attention to human factors; the ground control element has to be designed in a way that includes the appropriate information to the operators.  Depiction of data must be complemented by an ergonomic control design that ensures no confusion can exist. 
UAS BLOS operations do have commercial applications, especially in cargo transportation.  Long haul cargo flights could be managed with a BLOS UAS that is controlled from a remote location.  This would provide for constant monitoring of the air vehicle in shifts between personnel.  Shift work does inject risk into the operations, which is another human factors concern to be addressed.  Cargo operations provide an opportunity in terms of cost reductions for operators, maximizing cargo movement per flight, and reducing the level of risk by removing the operator to a remote location.  The FAA forecasts an increase in 781 cargo aircraft in the next 20 years (Price, 2016), this is an opportunity for a cargo UAS to be part of the operations and to provide cost benefits.

References

940th Wing Public Affairs . (2009, December 23). RQ-4 GLOBAL HAWK. Retrieved from Fact Sheets: http://www.940wg.afrc.af.mil/library/factsheets/factsheet.asp?id=15906
Advanced Composites Bulletin. (2009, March). Northrop Grumman to provide composites for Global Hawk UAS. Advanced Composites Bulletin.
DTIC. (2004 , February). Exhibit R-2, RDT&E Budget Item Justification. Retrieved from GLOBAL HAWK DEVELOPMENT/FIELDING: http://www.dtic.mil/descriptivesum /Y2005/AirForce/stamped/0305220F.pdf
Kinzig, B. (2010). GLOBAL HAWK SYSTEMS ENGINEERING CASE STUDY. Air Force Center for Systems Engineering. Wright Patterson AFB: MacAulay-Brown, Inc.
Northrop Grumman. (2014). Q-4 Enterprise Proven. Persistent. Performing. High-Altitude, Long-Endurance Unmanned Aircraft System. Retrieved from NorthropGrumman.Com: http://www.northropgrumman.com/Capabilities/GlobalHawk/Documents/Brochure_Q4_HALE_Enterprise.pdf
Price, H. J. (2016, March 24). Fact Sheet - FAA Forecast Fact Sheet - Fiscal Years 2016-2036. Retrieved from FAA: https://www.faa.gov/news/fact_sheets/news_story.cfm? newsId=20136
Rolls Royce. (2014). AE 3007. Retrieved from Rolls Royce: http://www.rolls-royce.com/ defence/products/uav/ae_3007/index.jsp 

UAS Integration in the NAS

The Next Generation Air Transportation System (NextGen) is an initiative from the FAA to modernize all components of the current Air Transportation System.  Its main goal is to overhaul the existing infrastructure to better track aircraft, enhance communications, navigation, and air traffic control (Federal Aviation Administration, 2016).  One of the main enablers of NextGen is the transition from relying on radars for tracking and aircraft separation to the use of the Automatic Dependent Surveillance Broadcast (ADS-B).  This system relies on Global Positioning System (GPS) data for aircraft location; it relays positioning information to Air Traffic Control (ATC) and to nearby aircraft at the same time (Federal Aviation Administration, 2016). 
Positioning information is utilized by upgraded software part of the En Route Automation Modernization (ERAM) system, which increases the quantity of aircraft controllers can track at a time.  “En Route controllers are able to track 1,900 aircraft at a time instead of the previous 1,100 flight capability. Additionally, now coverage extends beyond facility boundaries, enabling controllers to handle traffic more efficiently. This extended coverage is possible because ERAM can process data from 64 radars versus the 24 radar processing with the legacy Host system” (Federal Aviation Administration, 2015).  More precise positioning information and tracking enables Performance Based Navigation (PBN); this allows for safer operations while reducing the spacing between aircraft.  Having reliable positioning and a higher degree of ATC increases the overall safety of operations in the NAS.
Unmanned Air Systems (UAS) provide a significant challenge to the NextGen architecture.  It will challenge the technologies incorporated into the new architecture by supporting aircraft that are of an extreme variety of sizes and form factors.  The size of the UAS is an issue at the crux of their incorporation in the NAS; the FAA differentiates between them by weight, but this should not be the only differentiation factor.  Integrated separation strategies must be developed for manned and unmanned aircraft to chare the skies; guidance and control also become problematic when having both types of aircraft sharing an airspace.  An air traffic controller can easily transmit routing instructions to a pilot verbally; the same might not be possible with an UAS, where the pilot (assuming a low level of automation) could be located on the other side of the world.  This by itself is a significant human factors challenge; how can an operator safely receive instructions when geographically separated from the controller?  Perhaps the solution would be to eliminate the pilot and enforce a high level of automation.  The UAS would be integrated in the NextGen ERAM system, and a ADS-B equivalent could be installed on the aircraft.
Automation is inevitable.  Lack of autonomous UAS operations would interfere with the evolution of the role of the pilot.  It is recognized that manned aviation pilots need to evolve into flight managers of technically advanced aircraft (Robertson, 2010).  Development of unmanned UAS operations will provide the necessary level of research and development that will ultimately benefit manned aviation as well.  Automation would address lost link situations, and is the one way of addressing Sense and Aviodance (SAA) issues.  The incorporation of UAS in the NAS should start gradually, starting with flights over sparse populated or non-populated areas.  Once technology develops and reliability is shown, public perception will develop and the incorporation of UAS in the NAS would be able to move forward.

References

Federal Aviation Administration. (2015, April 29). En Route Automation Modernization (ERAM). Retrieved from FAA.gov: https://www.faa.gov/air_traffic/technology/eram/
Federal Aviation Administration. (2016, June 6). Automatic Dependent Surveillance-Broadcast (ADS-B). Retrieved from Federal Aviation Administration: http://www.faa.gov/nextgen/ programs/adsb/
Federal Aviation Administration. (2016, February 13). NextGen Works. Retrieved from FAA.gov: http://www.faa.gov/nextgen/works/
Robertson, C. L. (2010). Determining Appropriate Levels of Automation. University of North Dakota, FITS SRM Automation Management Research. 

UAS GCS Human Factors Issue

The UAS selected for analysis is the Altura Zenith ATX8, developed by Aerialtronics.  It is a rotorcraft UAS designed to be lightweight in order to support extended flight duration applications.  It has a carbon fiber structure and 8 motors with 16 inch propellers.  The UAS has a flight time of 35 minutes, which supports its intended design to capture aerial imagery, high voltage inspections, search and rescue, and surveillance applications.  The UAS is delivered with a Radio Frequency (RF) handheld GCS, which is equipped with a conventional 1920 x 1080 screen, which can be augmented with a 7-inch tablet. 
The handheld control unit is modelled after the ones commonly utilized for remote controlled aircraft.  It is equipped with two main joysticks, one for motor power and another to control pitch, roll, and yaw.  Both joysticks are supplemented by fine adjustment potentiometers for accuracy.  There are 14 additional toggle switchers that can be programmed for different functions, including return to home.  Handling of the GCS is supported by a handle on each side of the unit.  RF transmission and reception is enabled by six antennas.  The main screen of the GCS is supplemented by a 7-inch tablet.  The tablet is connected to the right side of the main screen by a metal brace.  The intended purpose of the tablet is for flight planning utilizing an application provided by Aerialtronics.  The UAS supports an additional controller for imagery applications.  A secondary unit can be linked to the system in order to control the gimbal and the camera system.  This supports safe operation of the UAS, while enabling accurate control of the imagery system.
While the airframe has an impressive design, the GCS has human factor related shortcomings.  The first is the combination of a conventional screen and a touch screen (tablet).  This can cause confusion on the operator when telemetry data is shown on the conventional one.  In addition, the positon of the tablet to the right of the screen can distract the operator.  This would be critical for Beyond Line of Sight (BLOS) operations when the video displayed on the screen can alert the operator of a possible threat.  In addition to the possibility of distraction, there is also the additional effort needed to handle a control system whose weight is unbalanced.  The weight of the tablet on the right hand side can make lone term operation of the UAS difficult and might result in mistakes from the operator.
Possible solutions to the human factors issues include a redesign of the display architecture.  Both screens can be combined into a larger one, which will result in a weight reduction by not including the weight of the tablet bezel, battery, and CPU; the battery and CPU can be integrated within the main control enclosure.  The information displayed in the tablet can be fused with the main display to ensure the operator can always see the video captured during BLOS operations.  The redesign of the GCS would include rows of Active-Matrix Organic Light Emitting Diode (AMOLED) strips that would replace the majority of the toggle switches.  These display strips, turned into controls, provide great sunlight readability and offer wide viewing angles (US Micro Products, 2016).  Not all toggle switches would be eliminated, as two would be needed for critical functions including return to home and gimbal power. 
A common human factor between the UAS and manned aircraft is the display architecture.  Manned aircraft can be equipped with an overwhelming quantity of displays that can result in a significant cognitive load on a pilot.  Incorporating large multi-function displays can provide relief, by utilizing information fusion and creating situation specific “scenes”.  Displays could provide sets of information for takeoff and landing, while providing different information while during cruise flight.  A human factors centric design for UAS GCS will drive operator efficiency while reducing cognitive load at the same time.

References

Aerialtronics. (2016). Altura Zenith. Retrieved from Aerialtronics.com: http://www. aerialtronics.com/altura-zenith-engels/control-functions/
US Micro Products. (2016). AMOLED. Retrieved from US Micro Products: http://www. usmicroproducts.com/displays/custom-amoled-displays 

Sense and Avoid System Selection

Retrieved from Panoptesuav.com
The solution selected for a sense and avoid system for a small UAS (less than 55 pounds) has to be one that will not negatively impact the performance of the sUAS.  The additional weight and power requirements can reduce the flight time or affect the power available to other sensor payloads.  One sense and avoid sensor system available is the eBumper developed by Panoptes.  It utilizes an innovative echolocation method for object detection.  “A drone using a simple camera to ‘see’ its environment is an imperfect solution. “A vision sensor can’t see glass,” McKenna said, “but echolocation can.” (Amato, 2014)
This system was initially developed by Aurora Flight Sciences, which performed initial development in support of a contract award to the Air Force to develop navigation methods for micro UAVs. (Aurora Flight Sciences, 2007) The technology showed such promise that the company spun off Panoptes in 2014. (Panoptes, 2015)
The eBumper can be retrofitted on any sUAS; it requires the installation of four sensors for object detection around the sUAS.  Pricing information is not currently available, although it is estimated to be around $500. (Amato, 2014)  The technical specifications for the eBumper are as follows:
  • ·      Reduction in Flight Time with eBumper: 2-3 minutes
  • ·      Net Weight Increase: 82 grams
  • ·      Distance to Obstacle at Activation: 4.5ft (Precision), 10ft (Performance)
  • ·      Maximum Protected Closure Velocity: 3ft/s (Precision), 9.5ft/s (Performance)
  • ·      Field of View of Sensors: 40 degrees cone (for 2in rod)
  • ·      Sensed Directions: Forward, left, right and up
  • ·      Blind Spots Between Sensors: 50 degrees
  • ·      Currently Supported Aircraft Types: DJI Phantom 2 and 2 Vision
  • ·      Necessary Pilot Skill Level: Medium or higher (>20hrs of flight time)
  • ·      Required Interfaces: NAZA Flight controller (maintains full I/O support with eBumper installed)

The system is configured to provide two modes of operation: precision and performance.  The precision mode was designed for low speed flights in tight quarters. ”The detection radius of the sensors is 4.5 feet (meaning if you fly within 4.5 feet of a wall, the drone automatically corrects its course) and the drone takes the detected obstacle into account when receiving subsequent control inputs from the pilot. Precision Mode also enables auto-takeoff and hover with the simple flick of a switch.” (Amato, 2014)  The performance mode widens the detection radius of the sensors to 6 feet, which enables higher speed operations.  One particular feature of the system is the fact that in addition of detection, it also corrects the movement of the sUAS to prevent an impact.  Once the sUAS is in a safe distance from the object in its path it returns control to the operator.
This sense and avoid system shows promise for the use of echolocation in sUAS applications.  Further development can be concentrated in possible acoustic environment mapping utilizing a more complex array of sensors.  There are already research underway that has succeeded in acoustically capturing a snapshot of the environment with only one sound ping and ten microphones. (Orchard & Etienne-Cumminhs, 2010)  Innovative technology such as this one must be explored to further advance sense and avoid capabilities for UAVs.

References

Amato, A. (2014, October 31). Drone Flying Made Easy with the Panoptes eBumper. Retrieved March 3, 2015, from DroneLife.com: http://dronelife.com/2014 /10/31/making-flying-easy-panoptes-e-bumper/
Aurora Flight Sciences. (2007, October 5). AURORA WINS MAV NAVIGATION DEVELOPMENT CONTRAC. Retrieved March 3, 2015, from Aurora Flight Sciences: http://www.aurora.aero/media/press/item.aspx?id=apr-188
Orchard, G., & Etienne-Cumminhs, R. (2010). Discriminating Multiple Nearby Targets Using Single-Ping Ultrasonic Scene Mapping. Circuits and Systems I: Regular Papers, IEEE Transactions on , 57 (11), 2915-2924.
Panoptes. (2015). THE PANOPTES STORY. Retrieved March 3, 2015, from Panoptes.com: http://www.panoptesuav.com/our-story/