Drone Performance Parameters for Bus-Assisted Rural Delivery

Parameters for a bus-assisted heterogeneous-drone delivery model designed for rural e-commerce logistics. The dataset, created by Song Jin and published in 2026, is a small 5.5 KB Excel file containing the model inputs and performance metrics used in numerical experiments.

Use Cases

• Calibrate drone payload and range parameters within a mixed-integer programming model for cost optimization.
• Validate the Improved Black-Kite Algorithm's performance using the provided cost and stability metrics from Solomon instance adaptations.
• Analyze sensitivity of delivery costs to bus headway and drone heterogeneity parameters included in the dataset.
• Benchmark algorithm results (e.g., GA, EGO, BKA) against the provided total cost and stability figures from the Xunyang–Tongqianguan line case study.

Strengths

• Includes real-world case study data from the Xunyang–Tongqianguan bus line in Shaanxi Province.
• Model parameters are validated against adapted Solomon benchmark instances for routing problems.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Very small dataset at 5.5 KB, indicating limited scope and likely few rows of data.
• Specific column names and sample data are unavailable, hindering immediate analysis.
• Temporal coverage and update frequency for the underlying real-world data are not specified.

Provenance

Source

Song Jin, published on figshare.

Collection Method

Parameters and results derived from numerical experiments and a real-world case study modeling bus-drone collaboration.

Freshness

Last updated on the platform in April 2026.

Geography

Includes data from a case study on the Xunyang–Tongqianguan bus line in Shaanxi Province, China.