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
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.
Design and develop an innovative drone-delivery fleet management system
Automate drone navigation operations by integrating state-of the-art technologies
Assess three types of drones based upon delivery parcel size/weight and distance
Implement Drone as Service (DAAS) model principles