Airport Surface Operations Optimization Framework Results

Aggregating experimental results from a two-stage optimization framework for airport surface operations. The study reports a 17.8% reduction in taxiing costs and an optimized total cost of USD 8,163.44 compared to a baseline scenario. The data supports the evaluation of a dynamic pushback slot control strategy and an improved ant colony algorithm with a negative feedback mechanism.

Use Cases

• Compare optimized total cost and taxiing cost reduction percentages across different departure control scenarios.
• Analyze the impact of the negative feedback mechanism on average cost savings, reported as USD 1,412.71.
• Evaluate the performance of multiple taxiing configurations generated for different departure intervals.
• Assess the effectiveness of the taxiway control threshold optimization in mitigating ground conflicts.

Strengths

• Reports specific quantitative results, including a 17.8% reduction in taxiing costs.
• Provides concrete cost figures, such as an optimized total cost of USD 8,163.44 and average savings of USD 1,412.71.
• Results are derived from a defined methodological framework involving dynamic pushback slot control and an improved ant colony algorithm.

Limitations

• The dataset is very small at 35.7 KB, indicating limited scope and likely containing only summary results, not raw operational data.
• No column definitions or sample data are provided, limiting understanding of the data structure and granularity.
• The experimental context and input parameters for the optimization model are not detailed in the available metadata.

Provenance

Source

Figshare, authored by Jiyu Tang.

Collection Method

Results from a computational study proposing a two-stage optimization framework for airport surface operations.

Freshness

Last updated in March 2026, indicating recent results.