Thanks four comment!
Having more open source code to chose from would be good.
I do think that your problem of OD estimation is a bit different from that one that the outlined routeSampler approach solves.
The above approach takes the OD-matrix as ground truth (either es edge-to-edge or zone-to-zone counts) and only varies the routes to match the local edge traffic counts.
regards,
Jakob
Dear Jakob and Joel,
I am working on a similar problem so wanted to jump into this discussion. But I am using a different optimizer than the routesampler.py.
This problem pertains to the class of problems popularly known as (Indirect) OD demand estimation. So basically I am using another optimizer (extended-SPSA) that is exogenous to the SUMO, and interacts with given OD inputs + other SUMO parameters to match the count outputs. The final result is a calibrated or updated OD matrix and other parameters.
I assume routesampler also does something similar, but it would be great if there were couple of lines in the docs on its optimization approach. I tried to understand the code though.
I hope to make the codes open in the near future.
Thank you
Best Regards
Vishal
