Hello,
- many vehicle type parameters that you would use to calibrate a
microscopic simulation have little or no effect in meso:
https://sumo.dlr.de/docs/Simulation/Meso.html
- if you call duarouter just once then you will likely get lots of
congestion due to lack of proper traffic assignment:
https://sumo.dlr.de/docs/Demand/Dynamic_User_Assignment.html
- many forms of congestion and deadlock arise due to network model issues.
It doesn't make much sense to calibrate traffic parameters before solving
the network issues first

regards,
Jakob
re

Am Mo., 24. Mai 2021 um 21:20 Uhr schrieb mehdi <[email protected]>:

> Dear All,
>
> I am working on a large-scale simulation. I have all the OD matrics; using
> OD2TRIPS, I generated the trips file, and using Duarouter, I generated the
> rou.xml file. I also arranged about 200 E1 detectors in my networks. At the
> same point, I have the real-world annually average speed data for one day.
> Now I want to calibrate the model with real-world data. I want to change
> some parameters such as acceleration, deceleration, Tau, Sigma, max speed,
> gap distance. This speed data is the only data that I have from the real
> world.
> To change these parameters, is it accurate to change with
> "vehtypedistributionpy"? How vehtype distribution works? Do I need to
> adjust
> parameters one by one? Because I think vehtype distribution shift the
> parameters of the car randomly, I believe.
> Each time I need to change the parameters and run theSUMO, then calculate
> the RMSE between model speed data and observed data. And adjust until reach
> minimum square error is reached. Is it a proper way for calibration? Are
> there other ways or scripts to calibrate a large-scale network?
> I also using --meso to run faster. But there is congestion and deadlock
> traffic and cars just stock on streets. Changing these parameters does not
> have any effect on my traffic flow.
> I appreciate it if you could help me.
>
> Best wishes
> Mehdi
>
>
>
> --
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