การพัฒนาตัวแบบทางคณิตศาสตร์เพื่อเพิ่มความจุของทางวิ่งด้วยการปรับลำดับการลงจอด กรณีศึกษา สนามบินสุวรรณภูมิ.

Authors

ผศ.ดร.สราวุธ จันทร์สุวรรณ, นายณัฏฐาวุฑฒิ์ จิรธัมมวัฒน์

Published

Proceedings Operations Research Network Conference 2018

Abstract

This research develops a mathematical model for improving runway’s capacity using landing re-sequencing approach. The case study Suvarnnabhumi airport isapplied. The objectives of this study are to (1) study the factor causing delay of arrival traffic at Suvarnnabhumi airport, (2) develop a mathematical model for re-sequencing of landing aircraft in the final approach phase to maximize the runway capacity and (3) apply the result of study as a tool to improve planning strategy for the air traffic controller in the future. The data used in this study includes the arrival flight information at Suvarnnabhumi airport consisting of the traffic mix and the aircraft’s individual data including type, final approach speed, estimated landing time and actual landing time, supported by Aeronautical Radio of Thailand, the company responding for the air traffic services in Thailand. The mathematical model developed in this study is applied from the Travelling Salesman Problem by changing some model structure and parameters (from cost of travelling between city or node : Cij to separated time between each aircraft) and found that the key factors affecting the runway capacity are As a result of the study, the factor affecting the runway capacity are the wake turbulence separation and runway occupancy time. The variation of the two factors’ value depends on traffic mix, both type and sequence of arrival aircraft. The changing of type and sequence causes changing of separation time that air traffic controller has to separate each aircraft in order to provide safety. Therefore, efficiently re-sequencing the arrival traffic can be an effective tool to help improving runway’s capacity. The results of the simulation test show that the improved mathematical model for solving air traffic re-sequencing problem can genuinely solve all the concerning issues including minimizing airport opportunity cost from runway usage fare, minimizing excess fuel cost and minimizing excess carbon tax cost which can be the factors to be considered in the future for arrival traffic sequencing.

การพัฒนาตัวแบบทางคณิตศาสตร์เพื่อเพิ่มความจุของทางวิ่งด้วยการปรับลำดับการลงจอด กรณีศึกษา สนามบินสุวรรณภูมิ. . โรงแรม The Zign Resort พัทยา ชลบุรี, การประชุมวิชาการวิจัยดำเนินงานแห่งชาติ ประจำปี 2561 (126-134).