Shared UAV Passenger Scheduling Simulation Results for Multi-Airport Systems

A simulation study by Chao Hong, last updated in May 2026, proposes a route scheduling optimization model for shared passenger-carrying unmanned aerial vehicles (UAVs) in multi-airport environments. The model integrates passenger order characteristics and UAV operational parameters, with results showing a 27.3% reduction in total navigation time compared to non-pooling baselines. The framework is suggested to be relevant for border regions with limited ground infrastructure.

Use Cases

• Benchmarking optimization algorithms based on the reported 27.3% reduction in navigation time compared to non-pooling baselines.
• Modeling shared mobility demand based on described passenger order characteristics like origin, destination, and party size.
• Simulating UAV fleet operations based on parameters such as seating capacity, speed, and remaining endurance mentioned in the description.
• Evaluating scheduling policies with soft time windows based on the described quadratic soft time window mechanism for managing arrival deviations.

Strengths

• Includes specific performance metrics: a 27.3% reduction in total navigation time and an average UAV utilization rate of 78.6%.
• Provides comparative analysis results against established algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and standard Ant-Lion Optimizer (ALO).
• The model integrates multiple concrete data aspects: passenger order characteristics and UAV operational parameters.

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 at 5.5 KB, indicating limited scope, likely containing summary results rather than raw simulation data.

Provenance

Source

figshare, author Chao Hong

Collection Method

Simulation results from a proposed shared UAV route scheduling optimization model.

Freshness

Last updated 2026-05-19 17:31:14; freshness should be verified.

Geography

The study framework is suggested to be relevant for border regions, but no specific geographic coverage is stated for the data itself.