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UTM CITY - Unmanned traffic management, for air traffic in cities

The UTM (unmanned traffic management, for air traffic in cities) area is developing rapidly, but not for urban environments. The core challenge is to handle high levels of urban air traffic, with a human in the loop, and with a high level of automation and autonomous systems. In the project, the aim is to increase our understanding of this future situation, and to explore new concepts for understanding and controlling traffic. The UTM CITY project is based on the research through design methodology. According to the methodology, a design (UTM concept) is constructed at the same time as a context is built up (a simulated urban environment with drone traffic) together with problem owners and other stakeholders. Supporting this method, we build a simulation and visualization enviornment, UTM CITY, where designs and situations can be tested. UTM CITY is a colleboration between LiU and LFV.

We have also completed two previous projects in this area. Firstly, the UTM50 project that started in 2016 (see final report below). The UTM CITY simulator is inherited from the UTM50 project. Secondly, the Transportstyrelsen Risk Assessment for BVLOS Category 5C UAV Operations (see final report below).

The project is funded by the Swedish Transport Administration.

Contact Persons:

  • Prof. Jonas Lundberg

Project Areas:

  • Human-AI/Automation Joint Control

Relevant Publications:

  • Cognitive work analysis in the conceptual design of first-of-a-kind systems – designing urban air traffic management
  • Human Autonomy in Future Drone Traffic: Joint Human–AI Control in Temporal Cognitive Work
  • Urban Air Traffic Management (UTM) Implementation In Cities - Sampled Side-Effects
  • Transportstyrelsen Risk Assessment for BVLOS Category 5C UAV Operations - Final Report
  • UTM 50 Rapport 2018 - Slutrapport

Interesting URLs:

  • Human Automation Collaboration for Air Traffic Management
  • Gärna en drönare, tack
  • Drönartrafiken synas

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