Multi-Agent Simulation for UAV Air Traffic Planning and Management

This project is building a simulator environment to study UAV air traffic planning and communication resource management. The simulator provides several options to define parameters, such as the launch rate of UAVs, locations of UAV launch and landing sites, types of missions to be carried out by UAVs (i.e. package delivery, monitoring, etc.), configurable no-fly zones, terrain/landscape information, communication channel characteristics, communication infrastructure characteristics.

Development of the tool involves faculty from the iSchool and Engineering and students from the Engineering school working along a major company of the air traffic management sector.


Technologies/Software being used:


Lead faculty
1. Prof. Carlos Caicedo (iSchool)
2. Prof. M. Cenk Gursoy (EECS)
3. Prof. Qinru Qiu (EECS)