01
Support
Develop and promote the use of an integrated system for rural logistics using drone platforms
02
Research
Optimise and automate several aspects of rural logistics and emergency deliveries
Rural Logistics UC
Challenges and how they will be addressed
Drone delivery is complex and affected by package size, weight, travel distance and route density and requires a fleet management system if multiple drones operate in the same area. Additional autonomous drone travel needs to consider regulatory, safety and performance issues while addressing public concern.
The UC will test an automatic drone delivery fleet management system operating 3 types of drones, delivering packages with different weights across different distances in a rural setting. An in depth analysis of the areas of interest will identify sending/receiving locations as well as take off and landing zones.
User and terrain requirements will inform an optimal system architecture and the testing activities carried out will validate and evaluate the systems capabilities and performance.
Objectives
1. Design and develop
Design and develop an innovative drone-delivery fleet management system
2. Automate
Automate drone navigation operations by integrating state-of the-art technologies
3. Assess
Assess three types of drones based upon delivery parcel size/weight and distance
4. Implement
Implement Drone as Service (DAAS) model principles
Tech components and data
- Three different types of drones:
- Vertical take-off and landing (VTOL),
- Quadcopter
- Octocopter;
- Photogrammetry equipment for georeferenced 3D model and navigation
- Meteorological stations for each of the points of interest
- Environmental data
- Server for the DD-FMS hosting
- Custom-made cargo systems
Expected outcomes
01
Support
02
Research
Location of the Use Case
Ohrid and Strumica, N. Macedonia
