Contingency Management in UAS Traffic Management

With the reality of drones being used commercially in large numbers almost certain, the state of Ohio began designing an unmanned air traffic management (UTM) system to ensure that it would stay on the cutting edge of technology. The lab was asked to work as experts in the Human-Machine Teaming space to work on mitigating risk in contingency management situations. In collaboration with multiple of the state’s experts in the field, the Lab worked to make sure that this will be done safely and efficiently in the state.

Researchers:

Martijn IJtsma

Emily Barrett

Jonathan Dowling 

Margaret Miles

Renske Nijveldt

Publications:

Barrett, E., Paladugu, A., & IJtsma, M. (2024). Multi-Agent Simulation to Envision Communication Strategies in Future Air Mobility Operations. Journal of Aerospace Information Systems, 1–11. https://doi.org/10.2514/1.I011239

Nijveldt, R., & IJtsma, M. (2022). Cognitive Task Analysis of Contingency Management in Future Unmanned Aircraft Systems Traffic Management. AIAA AVIATION 2022 Forum. https://doi.org/10.2514/6.2022-3620