Dataset Viewer
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Drone-VRP Dataset: Wing Delivery Drone
Generated from RRNCO real-world city road network data with drone-specific constraints.
Drone Specifications
- Model: Wing Delivery Drone
- Empty mass: 4.8 kg
- Battery mass: 1.5 kg
- Max payload: 2.3 kg
- Cruise speed: 29.0 m/s
- Battery capacity: 1080000 J
- Max flight time: 1200 s
Dataset
- Instances: 1280
- Customers per instance: 50
- Wind: 2.0 m/s
- No-fly zones per instance: 1
- Distributions: ['uniform', 'cluster']
NPZ Keys (batch file)
| Key | Shape | Description |
|---|---|---|
| locs | (B, n+1, 2) | Normalized coordinates (depot at index 0) |
| depot | (B, 2) | Depot coordinates (normalized) |
| points_raw | (B, n+1, 2) | Original lat/lon coordinates |
| distance_matrix | (B, n+1, n+1) | Asymmetric road distance (km) |
| duration_matrix | (B, n+1, n+1) | Asymmetric travel duration (minutes) |
| energy_full_matrix | (B, n+1, n+1) | Energy per edge with full payload (J) |
| energy_empty_matrix | (B, n+1, n+1) | Energy per edge with no payload (J) |
| demand_kg | (B, n+1) | Demand weight in kg (depot=0) |
| demand_normalized | (B, n+1) | Demand as fraction of max payload |
| payload_capacity_kg | (B,) | Max payload capacity |
| battery_capacity_j | (B,) | Total battery energy budget |
| max_range_km | (B,) | Max range with full payload |
| time_windows | (B, n+1, 2) | Time windows [start, end] in minutes |
| service_time | (B, n+1) | Service time per node (minutes) |
| speed | (B,) | Speed in km/min |
| max_flight_time_s | (B,) | Max single-flight endurance |
| wind_vector | (B, 2) | Wind (x, y) in m/s |
| wind_strength | (B,) | Wind magnitude |
| edge_blocked | (B, n+1, n+1) | True if edge crosses a no-fly zone |
| reroute_distance_km | (B, n+1, n+1) | Detour distance (km) for blocked edges |
| recharging_stations | (B, ...) | Indices of recharging station nodes |
| battery_swap_time_min | (B,) | Battery swap duration (minutes) |
| altitude_min_m / altitude_max_m | (B,) | Altitude constraints |
| node_type | (B, n+1) | 0=customer, 1=depot, 2=recharging station |
Energy Model
Based on Dorling et al. (2017) momentum-theory power model: P = (m_total * g)^1.5 / sqrt(2 * ρ * A * η)
Energy on leg (i,j): E_ij = P_i * d_ij / v where P_i depends on payload remaining at departure node i.
The model captures the critical drone behavior: range shrinks as payload increases.
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('aerialblancaservices/drone-vrp-wing')
- Downloads last month
- 6