Drone Assisted IoT Logistics Operations Dataset

This dataset captures real-world operational records from drone-assisted and truck-supported logistics activities carried out across the Greater Toronto Area between January 2017 and December 2024. Toronto’s dense urban landscape, diverse delivery demands, and highly dynamic traffic and weather conditions make it an ideal environment for studying intelligent logistics, route optimization, and IoT-enabled delivery systems.

The dataset includes hourly observations spanning multiple years, offering a rich foundation for research in areas such as predictive modeling, spatiotemporal learning, autonomous routing, resource scheduling, and operational analytics. Each record reflects the state of a logistics event, including delivery characteristics, drone telemetry, environmental conditions, route behavior, and delivery outcomes.

Contents & Feature Summary:

The dataset consists of 26 attributes, grouped into the following categories:

1. Temporal and Identification Fields

Timestamp: Hourly record time.

Order ID: Unique identifier for each delivery task.

Route ID / Adjusted Route ID: Routing identifiers reflecting operational and recalculation decisions.

Recalculation Timestamp: System-triggered updates when conditions change.

2. Geospatial Delivery Attributes

Delivery Location (Lat/Lon): Geographic coordinates of the delivery endpoint.

Calculated Distance (km): Estimated travel distance from origin to destination.

Estimated Delivery Time (min): Operational expectation of delivery duration.

3. Package Characteristics

Weight of Package (kg)

Volume of Package (m³)

Delivery Time Window

Priority Level (normal / express / urgent)

Cost of Delivery

4. Drone Telemetry & Operational Factors

Drone ID

Drone Battery Level (%)

Drone Capacity (kg)

5. Environmental & Traffic Conditions

Weather Conditions (sunny, rainy, snowy, foggy)

Traffic Conditions (light, moderate, heavy)

Road Status (open / blocked)

Blocked Reason (accident, maintenance, etc.)

6. Performance & Outcome Metrics

Delivery Success (0/1)

Customer Feedback Score (1–5)

Delivery Delay (min)