Flatland is an open source project which promotes research on finding alternate techniques to schedule trains on virtual rail networks. In the NeurIPS 2020 competition, special emphasis was on exploring reinforcement learning. The Flatland project is supported by the national railway companies of Germany, France, and Switzerland.

The tool visualizes the trains’ behavior on a timeline and shows connections between important regions of the network. It was developed by Shivam Agarwal in collaboration with the Flatland community and with Günter Wallner, Assistant Professor at the Eindhoven University of Technology and Senior Scientist at the University of Applied Arts Vienna.

Check out the tool here and learn more about the Flatland award winners.