Air Traffic Optimal Management (ATOM)

The technology developed by SOTICOL Robotics Systems is able to implement an Air Traffic Optimal Management (ATOM) in real-time.

The most relevant characteristics of this technology are: optimality, linear computing complexity and the ability to perform an optimal navigation avoiding collisions using optimization specific criteria (e.g. minimum time, minimum risk or minimum consumption of fuel).

The offered technology can be simultaneously applied to N RPAS inside the same airspace.

All of this is possible thanks to combining mathematical methods, Cell Mapping concepts and reinforcement learning techniques.

The Figure below shows an optimal trajectory in time (blue line) and next to it, another optimal trajectory in energy (red line). In both cases, the upstream features of the environment are exploited.

In this case, the Figure is a 4-D trajectory for a fixed wing platform. We can observe an escape upward path. The platform minimises the required cycles inside the tube in order to reach the exit in minimum time.

Finally, the following Figure shows a 5-D trajectory, where the dashed blue line represents an initial path with a potential collision in t5’. In this way, a trajectory change is performed in realtime in t2 (continuous blue line) for preventing the possible collision in t5’.

The new planning takes into account possible risk aspects (too close or abnormally slow speed) and the final result will be only a delay at the conflict zone (t10).