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Re: [sumo-user] Impatience

Thank you for reporting the routeSampler bug which is now fixed (https://github.com/eclipse-sumo/sumo/issues/18079).
You can download a patched version tomorrow at https://sumo.dlr.de/docs/Downloads.php#nightly_snapshots or wait for version 1.27.1 which will likely be released on thursday.

With respect to excessive queue formation, here are things you could check / configure:
- traffic light algorithm (if your intersection is controlled a mismatching algorithm can cause higher or lower throughput)
- junction size (if it is too large then efficiency suffers), set junction attribute radius to a value between 0 and 4 (4 is the default)
- fleet composition (if the proportion of heavy vehicles is larger than in reality, throughput suffers)
- vType attributes:
  - jmDriveAfterYellowTime, jmDriveAfterRedTime (setting values above 0 increases flow at controlled junction)
  - jmSigmaMinor (set to 0 to avoid random slowdown on the junction when using the default Krauss carFollowModel)
  - jmTimeGapMinor (lower values lead to accepting smaller gaps, default is 1)
  - accel: higher values cause faster start-up for queues
  - sigma, tau, minGap: lower values increase flow

regards,
Jakob
  


Am Di., 9. Juni 2026 um 15:02 Uhr schrieb Morgi Diva via sumo-user <sumo-user@xxxxxxxxxxx>:

Good morning, Sumo friends, I'm working on a highway simulation using Routesampler to allocate the researched volumes during a 1-hour peak period of the road system, to reproduce what is observed in the field. We use the impatience parameter, however, the simulation shows greater queue formation than what is observed. In this context, is there any other parameter that can be used to influence vehicle behavior? To generate the routes, I'm using `find all routes` because I encountered a problem trying to use Routesampler with routes generated by RandomTrips. The error found is shown below.

"%SUMO_HOME%/tools/randomTrips.py" --marouter -n REDE.net.xml --fringe-factor max -r rotas.rou.xml   -e 3600

"%SUMO_HOME%/tools/routeSampler.py" -a "type=\"carro\" departLane=\"best\" departSpeed=\"max\"" --turn-files InterCCV.xml --turn-attribute count_car --prefix ca -o cars.rou.xml -r rotas.rou.xml --turn-max-gap 4

image.png

Att: Morgana Roosevelt

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