Flexible Combined Arrival–Departure Aircraft Scheduling

Establishing a well-planned schedule for departing and arriving aircraft is essential for satisfying the increasing demand for runway traffic, as well as ensuring the balance of runway capacity and demand. However, the existing optimal scheduling methods for departing and arriving aircraft may enhance use efficiency in the runway system for the precontrol phase of tactical planning. It may not be applicable for the flexible runway traffic configurations and the operation mode; in concrete terms, every time the runway operation mode varies, significant adaptations are mandatory to be made to the conventional model. On the other hand, the taxi-out time cost is not considered in the objective function for traditional methods, which usually leads to more taxi time. In this paper, we attempt to address the above challenges; more specifically, we propose a generalized scheduler for the combined arrival–departure scheduling for different runway operation modes in the form of a mixed integer linear program. By means of adjusting parameters, our scheduler can adapt to a wide range of operational scenarios. Meanwhile, the innovative wake separation constraints are more flexible with different aircraft types and operation modes and are linear with the decision variables. Furthermore, we have substantiated the validity of the proposed scheduler through theoretical analysis and experimental measurements.

Authors

Institutions

Publication Details

Journal
Journal of Aerospace Information Systems
Published
2026-02-01
DOI
https://doi.org/10.2514/1.i011688
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible Combined Arrival–Departure Aircraft Scheduling

Yi Wen, Changbo Hou, ChaoYu Xia, Minghua Hu et al.
Journal of Aerospace Information Systems
Air Traffic Management and Optimization
article

Flexible Combined Arrival–Departure Aircraft Scheduling

Yi Wen, Changbo Hou, ChaoYu Xia, Minghua Hu, Hanbing Yan
article en

Abstract

Establishing a well-planned schedule for departing and arriving aircraft is essential for satisfying the increasing demand for runway traffic, as well as ensuring the balance of runway capacity and demand. However, the existing optimal scheduling methods for departing and arriving aircraft may enhance use efficiency in the runway system for the precontrol phase of tactical planning. It may not be applicable for the flexible runway traffic configurations and the operation mode; in concrete terms, every time the runway operation mode varies, significant adaptations are mandatory to be made to the conventional model. On the other hand, the taxi-out time cost is not considered in the objective function for traditional methods, which usually leads to more taxi time. In this paper, we attempt to address the above challenges; more specifically, we propose a generalized scheduler for the combined arrival–departure scheduling for different runway operation modes in the form of a mixed integer linear program. By means of adjusting parameters, our scheduler can adapt to a wide range of operational scenarios. Meanwhile, the innovative wake separation constraints are more flexible with different aircraft types and operation modes and are linear with the decision variables. Furthermore, we have substantiated the validity of the proposed scheduler through theoretical analysis and experimental measurements.

Journal of Aerospace Information SystemsVol. 23(2)
Civil Aviation Administration of China (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 65%
Air Traffic Management and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.