Aircraft Taxiing Schedule Optimization Results

Showcasing experimental results from a two-stage optimization framework for airport surface operations. It includes cost comparisons between baseline and optimized scenarios, showing a 17.8% reduction in taxiing costs and a total optimized cost of USD 8,163.44. The data supports analysis of strategies involving dynamic pushback slot control and taxiway control thresholds.

Use Cases

• Compare optimized total cost (USD 8,163.44) against baseline scenarios to evaluate the economic impact of the proposed framework.
• Analyze the effect of the negative feedback mechanism on cost savings, referencing the reported average cost saving of USD 1,412.71.
• Model taxiing cost reductions (17.8%) achieved through the dynamic pushback slot control (DPSC) strategy.
• Examine the relationship between multiple taxiing configurations and different departure intervals for route planning.

Strengths

• Dataset quantifies a 17.8% reduction in taxiing costs from the optimization framework.
• Provides specific cost figures, including an optimized total cost of USD 8,163.44 and an average saving of USD 1,412.71.
• Results are derived from a defined methodological framework involving an improved ant colony algorithm (IACA).

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and likely a summary of results rather than raw operational data.
• No column definitions, sample data, or row counts are provided, limiting direct analytical utility.
• The data appears to be simulation or experimental results from a specific study, not real-world operational records.

Provenance

Source

figshare

Collection Method

Generated from experimental simulations of a two-stage optimization framework for airport surface operations.

Time Range

null

Freshness

null

Geography

null