Shared UAV Route Scheduling Simulation Results for Multi-Airport Systems

Simulation results for a shared unmanned aerial vehicle (UAV) route scheduling optimization model. The dataset was created by Chao Hong and last updated on May 19, 2026. It is a 5.5 KB XLS file, indicating a small-scale simulation output.

Use Cases

• Benchmarking optimization algorithms based on the reported 27.3% reduction in total navigation time.
• Modeling passenger demand heterogeneity based on described order characteristics like origin, destination, and party size.
• Simulating UAV fleet operations based on parameters like remaining endurance, seating capacity, and speed.
• Evaluating time window compliance mechanisms based on the described quadratic soft time window model.

Strengths

• Includes specific performance metrics from the simulation, such as a 27.3% reduction in total navigation time.
• Reports concrete operational metrics, including an average UAV utilization rate of 78.6%.
• Results are based on a comparative analysis against established algorithms like GA, PSO, and ALO.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), suggesting limited scope, likely containing summary results rather than raw simulation logs.

Provenance

Source

figshare, author Chao Hong.

Collection Method

Likely generated from simulation models described in the accompanying study.

Freshness

Last updated 2026-05-19 17:31:16; freshness should be verified.

Geography

The study framework is described as relevant for border regions with limited ground infrastructure, but specific simulation geography is not stated.