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UID:20260729T111730EDT-7836ljZX3E@132.216.98.100
DTSTAMP:20260729T151730Z
DESCRIPTION:Abstract\n\n\n	\n		\n			\n				Traditional airport surface management prov
 ides limited ability for controllers to anticipate aircraft movements\, re
 sulting in suboptimal route assignments that contribute to conflicts\, del
 ays\, and increased fuel consumption. With continued growth in air traffic
  demand\, these operational inefficiencies are expected to become increasi
 ngly significant.\n\n				To address these issues\, surface trajectory-based op
 erations (STBO) have been proposed\, enabling air traffic controllers to p
 replan and optimize aircraft trajectories. For STBO to be effective\, airc
 raft movements must be fully predictable: pilots must conform to assigned 
 speed profiles along their route to and from the runway\, thereby reducing
  positional uncertainty. This fundamentally changes how flight crews opera
 te and requires new guidance systems.\n\n				Visual guidance interfaces have b
 een investigated\, continuously indicating where the aircraft should be al
 ong its route according to the assigned speed profile. These systems allow
  pilots to track their target position while remaining within a 250 meter 
 allowable deviation band. However\, most simulation studies demonstrating 
 the potential gains of STBO in reducing fuel burn and delays assume tighte
 r spacing between aircraft\, revealing a discrepancy between optimization 
 targets and currently achievable human performance. Indeed\, such reduced 
 tolerances have been shown to result in more frequent loss of conformance—
 triggering costly reroutings—and excessive attention to the display (head-
 down time)—a significant threat to safety. These issues highlight a key ga
 p: current guidance techniques are insufficient to safely support pilots a
 t the level of precision required to fully realize the potential of STBO.
 \n\n				This thesis proposes improved STBO guidance systems designed to enable
  pilots to safely conform to reduced deviation bands. Based on a cognitive
  task analysis of pilots' information requirements for STBO\, we identifie
 d ways to support situation awareness\, improving performance by enhancing
  their ability to perceive\, understand\, and anticipate relevant operatio
 nal constraints. The task analysis highlighted an opportunity to support t
 he highest level of situation awareness (anticipation) by conveying future
  changes in trajectory speed. To explore this\, we investigated visual rep
 resentations of trajectory speed that are glanceable—minimizing head-down 
 time—while still conveying a complete and accurate picture of the speed pr
 ofile. We found that an appropriate representation improves conformance to
  reduced deviation bands but does not reduce excessive head-down time.\n\n
 				To address this remaining limitation\, we explored the use of haptic cues 
 delivered directly through the speed control interface\, i.e.\, the thrust
  lever. Among the cue types evaluated\, we found asymmetric vibrations to 
 be the most effective for conveying thrust commands.\n\n				An improved STBO s
 upport system\, combining visual trajectory speed representations and hapt
 ic thrust cues\, was evaluated with professional pilots. Conformance to a 
 100 meter deviation band—representing the average deviation used in STBO s
 imulation studies—increased from 84% with existing guidance systems to 90%
  with trajectory speed symbology and to 99% with the addition of haptic cu
 es. Furthermore\, head-down time decreased from 38% with current guidance 
 systems to 27% when haptic cues were introduced.\n\n				This thesis contribute
 s to the implementation of STBO and the associated reductions in delays an
 d fuel burn by improving pilot conformance\, paving the way for safer and 
 more efficient airport surface operations.'\n			\n		\n	\n\n
DTSTART:20260714T160000Z
DTEND:20260714T180000Z
LOCATION:Room 603\, McConnell Engineering Building\, CA\, QC\, Montreal\, H
 3A 0E9\, 3480 rue University
SUMMARY:PhD defence of Corentin Conan – Enhancing Pilot Guidance for Surfac
 e Trajectory-Based Operations through Multimodal Interaction
URL:https://www.mcgill.ca/ece/channels/event/phd-defence-corentin-conan-enh
 ancing-pilot-guidance-surface-trajectory-based-operations-through-373436
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