Thanks for your help Jakob! I took your hints into account, but this method is 
unfortunatly not appropriate for my given data.

I have one more question though. My Network is a small part of a City and I 
only have traffic data for some of the edges. I still kind of know where the 
main flows go and where the edges have the function of a sink/source or via or 
both.


Is there any method that might be more approriate then the one with random.py 
and calibrators?


I was also triyng to use flowrouter.py, but it always gives me the message 
"AttributeError: module 'detector' has no attribute 'DetectorReader'" when I 
want to make it work. I have not read of any Attribute named this way so far, 
so that I don“t know what to do.


Kind regards,


Florian



________________________________
Von: [email protected] <[email protected]> im Auftrag 
von Jakob Erdmann <[email protected]>
Gesendet: Mittwoch, 13. Juni 2018 22:52
An: Sumo project User discussions
Betreff: Re: [sumo-user] Building a scenario without knowledge of routes, based 
on flow measurements

1) randomTrips.py can generate vehicles with fixed routes (--route-file) as 
well as vehicle trips that only specify origin and destination 
(--output-trip-file). If you use the former, vehicles will pick the fastest 
route assuming an empty network. If you use the latter, vehicles will use the 
fastest route considering the state of the network at the time of departure.
2) randomTrips.py accepts the --vehicle-class option to generate vehicles with 
that specified class. Just run randomTrips multiple times with different 
options. Make sure to also set the --prefix option to avoid name clashes. I 
Advise to use osmWebWizard.py to generate a scenarion with different vehicle 
classes and use the generated files (including batch files that call 
randomTrips) as a reference: http://sumo.dlr.de/wiki/Tutorials/OSMWebWizard

Tutorials/OSMWebWizard - Sumo<http://sumo.dlr.de/wiki/Tutorials/OSMWebWizard>
sumo.dlr.de
About. The OSM Web Wizard offers one of the easiest solution to start with 
SUMO. Based on a selection of an openstreetmap map excerpt you will be able to 
configure a randomized traffic demand and run and visualize the scenario in the 
SUMO-GUI.


3) Calibrators do not spread the inserted traffic evenly to allow for vehicles 
to arrive later during the calibration interval. To avoid this effect you need 
to define multiple calibrators that cover shorter time intervals

regards,
Jakob

2018-06-13 17:15 GMT+02:00 florian preusse 
<[email protected]<mailto:[email protected]>>:

Dear Sumo users,


i have a few questions to the method "Building a scenario without knowledge of 
routes, based on flow measurements".

First of all I created random demand and wanted to ask if it is somehow 
possible to:


1) influence the generated routes/trips, so that the fastest or shortest route 
would be taken and no Loops would be made within the network. Kind of like the 
functions that Duarouter offers.


2) generate more than just one vehicle class, so that there would be passenger 
cars and trucks for example.


When it comes to the calibrators integrated in the network to make sure that 
only a specific amount of traffic enters a certain edge, I have one question:


1) Is it possible to for the Calibrators to constantly work the whole time of 
the Simulation?

Right now my calibrators function like this: They dont do anything at the begin 
of the Simulation and then close to the end of the Simulation they begin to 
insert or take away vehicles to meet the specific amount, but this is highly 
unrealstic.


Thank you for your help!


Kind regards,


Florian



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