A maximum-entropy approach to minimising resource contention in aircraft routing for optimisation of airport surface operations

Tsao, H.-S. Jacob; Pratama, Agus

doi:10.1504/ijids.2011.043028

Cited by 2 publications

(2 citation statements)

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“…etc. Work [14] offered an overview of optimization architecture and concentrated on the issue of scheduling taxiing and takeoff. The paper also discussed the numerical findings for the suggested integrated method using a mixed-integer mathematical program.…”

Section: B Mixed Integer Sequencing Techniquesmentioning

confidence: 99%

An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures

Bikir,

Idrissi,

Mansouri

et al. 2024

IJACSA

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Sequencing efficiently the departure traffic remains among the critical parts of air traffic management these days. It not only reduces delays and congestion at hold points, but it also enhances airport operations, improves traffic planning, and increases capacity. This research paper proposes an approach, that employs a genetic algorithm (GA), to help air traffic controllers in organizing a sequence for the departure traffic based on the standard instrument departures (SIDs) configuration. A scenario with randomly assigned types, SIDs, and departure times was applied to a set of aircraft in a terminal area with a four-SID configuration to assess the performance of the suggested GA. Subsequently, a comparison with the standard method of First Come First Served (FCFS) was conducted. The testing data revealed promising results in terms of the total spent time to reach a specified altitude after takeoff.

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Section: B Mixed Integer Sequencing Techniquesmentioning

confidence: 99%

An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures

Bikir,

Idrissi,

Mansouri

et al. 2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…Moreover, future airspace management systems are likely to consolidate air transportation decisions at the metroplex rather than individual airports. Efficient operation of a metroplex introduces several challenging, dependent, sub-problems at each individual airport including, runway configuration management (Provan and Atkins, 2010), surface operations (Tsao and Pratama, 2011), arrival and departure scheduling (Atkin, Burke, Greenwood and Reeson, 2008) and gate assignments (Das, 2009). This paper addresses the Runway Configuration Management (RCM) problem.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimization Model for Runway Configurations Management

Zhang

Kincaid

2014

International Journal of Operations Research and Information Systems

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The Runway Configuration Management problem governs what combinations of airport runways are in use at a given time for an airport or a collection of airports. Runway configurations (groupings of runways), operate under Runway Configuration Capacity Envelopes (RCCEs) which limit arrival and departure capacities. The RCCE identifies unique capacity constraints based on which runways are used for arrivals, departures, and their direction of travel. When switching between RCCEs, due to a change in weather conditions or a change in the demand pattern, a decrement in arrival and departure capacities is incurred during the transition. This paper reports computational experience with two distinct models—a robust optimization model that addresses uncertainty in the arrival demand, and a previously studied model that does not include uncertainty in any of the parameters. Test case scenarios are based on data from the John F. Kennedy international airport in New York.

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A maximum-entropy approach to minimising resource contention in aircraft routing for optimisation of airport surface operations

Cited by 2 publications

References 0 publications

An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures

An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures

Robust Optimization Model for Runway Configurations Management

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