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. More details on the optimization approach can be found at https://sumo.dlr.de/docs/Tools/Turns.html#optimization
regards, Jakob Am Mo., 31. Jan. 2022 um 15:14 Uhr schrieb Mahajan, Vishal < vishal.maha...@tum.de>: > 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 > > > >
_______________________________________________ sumo-user mailing list sumo-user@eclipse.org To unsubscribe from this list, visit https://www.eclipse.org/mailman/listinfo/sumo-user
