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.


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



Develop and promote the use of an integrated system for rural logistics using drone platforms 



Optimise and automate several aspects of rural logistics and emergency deliveries

Use Case Leader

Vasilios Polychronos

Use Case Partner

Kostas Grigoriadis

Location of the Use Case

Ohrid and Strumica, N. Macedonia

Drone Stakeholders survey (e.g. Drone manufacturers, Drone service providers, Software developers)

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