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A historical data approach to optimal gate assignment problem considering aircraft taxi delay and passenger walking time

Author

Listed:
  • Majid Shadman
  • Ali Abdi Kordani
  • Hossein Akbaripour

Abstract

Assigning appropriate gates to incoming flights, is a common challenge faced by airports and airlines. This study focuses on the gate assignment problem, considering taxi delays and passenger walking times with a historical data approach. Firstly, ten years of taxi time data from the Aviation Service Performance Metrics (ASPM) system and FlightAware were extracted. Then, using statistical analyses, key parameters for taxi time estimation were found, and by defining the Hour Modification Factor concluded from history-based data and Mixed-Integer Linear Programming, the new gate assignment scheme considering taxi delay was developed. As a case study, taxi delays and dedicated gate assignment for American and Southwest Airlines in Phoenix airport were performed. The results showed that the new gate assignment significantly reduced overall taxi times for both airlines with that 10% reduction in overall taxi times for American Airlines and a 16% reduction for Southwest Airlines, indicating a more efficient airport operation.

Suggested Citation

  • Majid Shadman & Ali Abdi Kordani & Hossein Akbaripour, 2025. "A historical data approach to optimal gate assignment problem considering aircraft taxi delay and passenger walking time," Transportation Planning and Technology, Taylor & Francis Journals, vol. 48(8), pages 1840-1862, November.
    • Handle: RePEc:taf:transp:v:48:y:2025:i:8:p:1840-1862
    DOI: 10.1080/03081060.2024.2428840
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