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. 🙏
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 minutesto complete1%in thematchstep and thus I had to pause this to find an alternative.Any ideas or suggestions on the same are really appreciated. Thank you. 🙏