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Re: [sumo-user] Appropriate demand-generation tool

I would suggest that you use SAGA to build the initial model and then calibrate it with the help of the counting data.
Activitygen is not suited for multi-modal scenarios and there are no plans to continue development on it.
SAGA is actively tested and likely to be maintained for some time.



Am Do., 27. Jan. 2022 um 12:39 Uhr schrieb <martin.lindner@xxxxxxxxx>:
Hello everyone,

We are going to build a traffic simulation model for a small city (~25k
inhabitants) with SUMO.

We have a large amount of data, including:
-the exact number of people+age living in each street,
-amount of workplaces
-position of schools, daycare, shops and other POI
-traffic counts for ~40 positions in the city (edge based, both sides).

The model should consider cars, bicycles and pedestrians and we want to
simulate a representative workday from 0:00 to 24:00.
Our question is which tool is more suited for a demand-generation model:
activitygen, SAGA or maybe another tool?
And which of these tools are still supported/going to be supported in
the future?

Thank you very much in advance,
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