Optimization Method for Multi-Runway Operation Modes

DOI

10.2991/978-94-6239-721-7_21How to use a DOI?

Keywords

Multi-runway airport; runway utilization mode; integer programming; branch-and-bound method; minimization of delay costs

Abstract

With the rapid development of the air transport industry, multi-runway airports are facing a sharp increase in operational pressure. Reliance on manual decision-making and a lack of scientific basis for runway operation modes result in low resource utilization and severe flight delays. To improve operational efficiency, this paper conducts a study on the optimization of multi-runway operation modes.

It analyzes three types of runway configurations, theoretical capacities and key influencing factors^[1]. Taking parallel dual-runway airports as the research object, an integer programming model is established to minimize the total delay cost with multiple constraints set. The branch and bound method is adopted for solution to avoid local optimal solutions. Simulation verification shows that the optimized scheme can reduce the total flight delay cost by up to 96%, and the optimization effect improves with refined time slices and stable traffic flow. This research provides theoretical support and practical methods for runway management, effectively enhancing the operational efficiency of airports.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiang Gao
PY  - 2026
DA  - 2026/07/06
TI  - Optimization Method for Multi-Runway Operation Modes
BT  - Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
PB  - Atlantis Press
SP  - 217
EP  - 228
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-721-7_21
DO  - 10.2991/978-94-6239-721-7_21
ID  - Gao2026
ER  -