A project in the course of Model-Based Systems Engineering at the Technical University of Denmark (02223)

• How would a transport network consisting of drones compare to established networks (e.g. trucks, trains, boats, airplanes) if measured in terms of average delivery time and cost efficiency? In which scenarios, if any, would drones be the best solution?

1. Collision with other drones or aircrafts is not of concern
2. Terrain and obstacles are not considered
3. Vehicles are loaded and fueled automatically and without delay
4. Unlimited supply of fuel/electricity at the base stations
5. There is always a constant communication link between the vehicles and the central coordination system, and there is no delay

The following parameters describe values that the simulation can be evaluated upon, not the runtime variables.

• Movement
  1. Average Speed (km/h)
• Fuel (any fuel type, capacity and consumption just has to be consistent)
  1. Fuel Capacity (liters, mAh, etc.)
  2. Fuel Consumption (per m)
  3. Refueling time (seconds)
  4. Allow refueling at targets (true or false)
• Transport
  1. Maximum payload weight (kg)
• Cost
  1. Purchasing cost (€)
  2. Cost per hour (€)
  3. Cost per km (€)

1. Wind direction and speed (heading and m/s)
2. List of orders (should be many and randomly generated to ensure equal chances for all vehicle types, and allows for analysis which vehicles can fulfill which orders most efficiently)
   • Origin and destination vertex
   • Payload weight

1. Number of vehicles
2. Initial distribution of vehicles (if multiple bases)

• Current application: https://johannesmols.github.io/Caelicus/

• Mockups: https://www.figma.com/file/9LLukX1RzZNmQ4a6vpPVAq/Caelicus

• C#
• Blazor WebAssembly

• Visual Studio 2019 Preview: https://visualstudio.microsoft.com/vs/preview/
• .NET 5.0 Preview: https://dotnet.microsoft.com/download/dotnet/5.0