On top of being an excellent researcher, Hannah Bast is one of the best professors I've had pleasure of studying under and working with, so I'm happy to see her getting credit for this.
I'd love to play around with this. Do you have an estimate for the RAM and CPU requirements for the Toronto dataset? I skimmed the project site and didn't see this discussed.
The robustness experiments are highly parallelized and maintain a copy of the (modified) network per thread. I vaguely remember the NYC test would take around a day on 16? cores and use up to 64GB of RAM.
You can find query time evaluation in the performance recap on the results page I linked. For NYC it's around 2.2s for the Dijkstra (baseline) and 27ms for the TP-based search.
For single-threaded pre-computation and shortest-path queries, I would expect you to need around 8GB for NYC, less for Toronto and you can get the Honolulu feeds to run on <2GB (which was my local test set).