1, The correspondence between the CMP segments network and stops (from GTFS?) should be pulled out to a separate step, and the result should be output to a CSV file. Then we don't need to re-run this part every time during testing
2. Why is the auto-matching between stops and CMP segments so bad? Dig deeper
3. Why are we looping over dataframes with Python? That defeats the entire purpose of using dataframes/arrays.
4. How is the postprocessing_overlap_pairs CSV file generated and used? (It's for stops/segments that cannot be automatched, so potentially a more robust step 2 can solve this problem too and we could maybe remove the need for this file.)
1, The correspondence between the CMP segments network and stops (from GTFS?) should be pulled out to a separate step, and the result should be output to a CSV file. Then we don't need to re-run this part every time during testing
2. Why is the auto-matching between stops and CMP segments so bad? Dig deeper
3. Why are we looping over dataframes with Python? That defeats the entire purpose of using dataframes/arrays.
4. How is the postprocessing_overlap_pairs CSV file generated and used? (It's for stops/segments that cannot be automatched, so potentially a more robust step 2 can solve this problem too and we could maybe remove the need for this file.)