Aircraft Landing Scheduling Optimization for Single Runway Noncontrolled Airports: Static Case

Ding, Yuanyuan; Valasek, John

doi:10.2514/1.20264

Cited by 10 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the existing literature, the flight scheduling problem is usually regarded as a single-queue optimization problem, from which the aircraft can be pulled out and "paused" [ 11 , 12 ]. In this context, an optimized scheduling model is designed for uncontrolled airports, and then an optimized scheduling algorithm is tailored for this model [ 13 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling and optimization of the terminal control area with holding unit

Yun-xiang

2021

PLoS ONE

View full text Add to dashboard Cite

Aiming at the problem of resource allocation for departure flights at congested airports, this research explores the optimal configuration of holding units in the terminal control area (TCA). Similar to the job-shop scheduling problem, this problem is solved through a max-plus model with additional constraints. In particular, two optimization models are constructed, in which air segments, departure fixes and holding units are explicitly modeled. Based on the realistic airspace network selected, the proposed models are tested using actual flight data. The experimental results show that the models proposed have better qualities compared with the other methods.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling and optimization of the terminal control area with holding unit

Yun-xiang

2021

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…An alternative is to modify the algorithms and interfaces so that they work in a distributed architecture with each pilot negotiating and managing conflicts and queue placement, modifications that have been demonstrated to be feasible, efficient, and safe. 49,50…”

Section: Sequencing Scheduling and Spacingmentioning

confidence: 99%

Enabling Airspace Integration for High-Density On-Demand Mobility Operations

Mueller

Kopardekar

Goodrich

2017

17th AIAA Aviation Technology, Integration, and Operations Conference

View full text Add to dashboard Cite

Aviation technologies and concepts have reached a level of maturity that may soon enable an era of on-demand mobility (ODM) fueled by quiet, efficient, and largely automated air taxis. However, successfully bringing such a system to fruition will require introducing ordersof-magnitude more aircraft to a given airspace volume than can be accommodated by the traditional air traffic control system, among other important technical challenges. The airspace integration problem is further compounded by requirements to set aside appropriate ground infrastructure for take-off and landing areas and ensuring these new aircraft types and their operations do not overly burden traditional airspace users and air traffic control. These challenges for ODM may be significantly reduced by extending the concepts and technologies developed to manage small unmanned aircraft systems (UAS) at low altitudethe UAS traffic management (UTM) system-to higher altitudes and aircraft with humans onboard in controlled airspace, or by equipping ODM aircraft with advanced sensors, algorithms, and interfaces. The precedent of operational freedom inherent in visual flight rules and the technologies developed for large UAS and commercial aircraft automation will contribute to the evolution of an ODM system enabled by UTM. This paper describes the set of air traffic services, normally provided by the traditional air traffic system, that an ODM system would implement to achieve the high densities needed for ODM's economic viability. Finally, the paper proposes a framework for integrating, evaluating, and deploying low-, medium-, and high-density ODM concepts that build on each other to ensure operational and economic feasibility at every step.

show abstract

“…Xue and Zelinski formulated ALP as multiple objectives: minimizing expectation values of total delays and controller interventions, respectively [2] . A dynamic multi-objectives scheduling of aircraft landings on a single runway was studied by Ding, etc., in which runway throughput, earliness and lateness, the cost of fuel arising from aircraft maneuvers are considered, but additional flight time incurred to achieve the landing schedule [3] . These schemes utilized only a set of weights and just less than 3 objectives, different stakeholders may need different weights and consider more objectives in practice.…”

Section: Introductionmentioning

confidence: 99%

TOPSIS based on parallel simulated annealing algorithm for multi-objective aircraft landing problem

Yang,

Ye,

Yang

2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

View full text Add to dashboard Cite

The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on results of Parallel Simulated Annealing Algorithm (PSA) is extended to explore satisfactory solutions with relatively low costs for trading off benefit of multi-stockholder while aircraft landing. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on results of Parallel Simulated Annealing Algorithm (PSA) is extended to explore satisfactory solutions with relatively low costs for trading off benefit of multi-stockholder while aircraft landing. PSA is developed to get a more ideal solution than the regular Simulated Annealing (SA). The numerical simulation shows that our approach is effective and efficient.

show abstract

Aircraft Landing Scheduling Optimization for Single Runway Noncontrolled Airports: Static Case

Cited by 10 publications

References 8 publications

Modeling and optimization of the terminal control area with holding unit

Modeling and optimization of the terminal control area with holding unit

Enabling Airspace Integration for High-Density On-Demand Mobility Operations

TOPSIS based on parallel simulated annealing algorithm for multi-objective aircraft landing problem

Contact Info

Product

Resources

About