[Tips] Ideas or suggestions for run time optimization

[bkowshik]

Was able to get a project working with SharedStreets end-to-end on a small dataset. 🎉

Now, scaling to a large dataset seems to be a bigger challenge that I had anticipated. The dataset that I running on took about 15 minutes to complete 1% in the match step and thus I had to pause this to find an alternative.

• What are potential optimizations that can be made to reduce the run-time of the library
• Any ideas on running this on lots of cores or in parallel, etc
• Also, working with line-delimited JSON instead of a GeoJSON

Any ideas or suggestions on the same are really appreciated. Thank you. 🙏