Optimizing Gate Assignments at Airports

Airport gate assignment is the process of appointing a gate for the arrival or departure of a flight and ensuring that the flight is on schedule. Assigning the airport gate with high efficiency is a key task among airport ground business. As the core of airport operation, aircraft gate assignment is known as a rather complicated combinatorial optimization problem. In this paper, the authors consider the over-constrained Airport Gate Assignment Problem where the number of flights exceeds the number of gates available, and where the objective is to minimize the overall variance of slack time. According to the intrinsic characteristics of the objective function itself, they design a meta-heuristic method and simulated annealing to solve the problem. Finally, illustrative examples show the validity of the proposed approach.

• Record URL:
  • https://doi.org/10.1061/9780784412442.189
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Chen
  • Zheng, Pan
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1857-1866
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Aircraft gates; Airport operations; Airport traffic; Arrivals and departures; Combinatorial analysis; Ground handling; Heuristic methods
• Subject Areas: Aviation; Operations and Traffic Management; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01505270
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Jan 27 2014 11:03AM