09 - Crewed and Uncrewed Aircraft Operations and Traffic Management

AIRCRAFT SEQUENCING UNDER UNCERTAINTY: GAME-THEORETIC OPTIMIZATION AND A COMPARATIVE ASSESSMENT OF GLOBAL AND INTRA-AIRLINE COOPERATIVE DECISION FRAMEWORKS

S. Tsuru¹, A. Andreeva-Mori¹; ¹Osaka Metropolitan University, Japan

This study proposes a game-theoretic framework for aircraft sequencing under uncertainty. Comparing global optimization with airline competition shows a 2-4% efficiency loss when airlines prioritize their own fleets. High-cost flights often hoard early slots, delaying others. Proposed probabilistic sequencing method protects cost privacy and outperforms the First-Come, First-Served rule, aiding autonomous traffic management.

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DOI: 10.71945/icas2026_0446