Airport Surface Operations Optimization Notation and Definitions

Delivering the notation and definitions used in a study proposing a two-stage optimization framework for airport surface operations. The study's experimental results show the framework reduced taxiing costs by 17.8% compared to a baseline, yielding an optimized total cost of USD 8,163.44. The data is provided by author Jiyu Tang in an XLS file under a CC BY 4.0 license.

Use Cases

• Reference the defined notation for implementing the dynamic pushback slot control (DPSC) strategy described in the study.
• Use the provided definitions to replicate the calculation of the optimized total cost of USD 8,163.44 from the experimental results.
• Apply the documented notation to model the negative feedback mechanism within the improved ant colony algorithm (IACA).
• Utilize the defined terms to generate multiple taxiing configurations for different departure intervals as per the study's methodology.

Strengths

• The dataset is directly associated with a study demonstrating a 17.8% reduction in taxiing costs and an average cost saving of USD 1,412.71.
• The data is provided in a structured XLS format, facilitating direct use in analysis or modeling.
• It is published under a permissive CC BY 4.0 license, allowing for broad reuse and modification.

Limitations

• The dataset is very small at 5.5 KB, indicating it contains only notation and definitions, not the underlying operational or simulation data.
• Without the accompanying simulation data or results, the practical utility for independent modeling is limited to understanding the study's framework.

Provenance

Source

Jiyu Tang via figshare

Collection Method

Created as part of an academic study proposing an optimization framework for airport surface operations.

Time Range

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Freshness

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Geography

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