Re: [sumo-user] Different vehicle behavior in same surroundings

[Branka Mircevska <brankamircevska@xxxxxxxxx>]

Hey Jakob,

thanks for the reply!

I was assuming it has to do something with the seed, and random init of vehicle parameters. 

However, my confusion comes from the fact that if I run scenario 20 only, N number of times, the behavior is always the same (even though there should be randomness here as well if I am not mistaken?!).

Similarly, when I run scenario 20 after scenario 10, N number of times, I get the same results all N times.

Does this make sense?

(Note that I set both, the starting speed and the starting position of the vehicles, to a specific value, not to randomly chosen one.)

Thanks!

VG

Branka 

Am Montag, 13. April 2020, 22:36:07 MESZ hat Jakob Erdmann <namdre.sumo@xxxxxxxxx> Folgendes geschrieben:

The sumo-controlled vehicles are using the default model with stochastic components. This will result in divergent vehicle behavior when running a different simulation sequence with a different number / ordering of random number generator calls. For details, see https://sumo.dlr.de/docs/Simulation/Randomness.html

regards,

Jakob

Am Mo., 13. Apr. 2020 um 15:08 Uhr schrieb Branka Mirchevska <brankamircevska@xxxxxxxxx>:

Hello,

I'm trying to run 2 predefined Sumo scenarios one after the other (scenario
ids 10_0, and 20_0).
They contain 10 and 20 Sumo controlled vehicles each, and I place my
remotely controlled vehicle at a certain position in both to drive among
them.
The problem is the following:
when I run scenario 10 and then scenario 20 after it, the behavior is
different than when I run scenario 20 right away.

here is a demonstration:

Only scenario 20_0:
_________________________________


Scenario ID:  20_0
----------------------------------------  time-step:  0
EGO lane pos and speed                   :  100.0 ,   8.0
x, y, angle, speed for EGO to execute:  101.530884567 5.19671627088
90.7360694615 8.10524126657
HUMAN_19 lane position and speed  :  121.0 10.0
----------------------------------------  time-step:  1
EGO lane pos and speed                   :  101.530884567 ,   8.10524126657
x, y, angle, speed for EGO to execute:  103.100752622 5.1765673393
91.6889555588 8.39699835768
HUMAN_19 lane position and speed :  123.054754372 10.2737718593
----------------------------------------  time-step:  2
              ...


First scenario 10_0 and then 20_0:
__________________________________

Scenario ID:  20_0
----------------------------------------  time-step:  0
EGO lane pos and speed                   :  100.0 ,   8.0
x, y, angle, speed for EGO to execute:  101.530884567 5.19671627088
90.7360694615 8.10524126657
HUMAN_19 lane position and speed :  121.0 10.0
----------------------------------------  time-step:  1
EGO lane pos and speed                   :  101.530884567 ,   8.10524126657
x, y, angle, speed for EGO to execute:  103.100752622 5.1765673393
91.6889555588 8.39699835768
HUMAN_19 lane position and speed  :  123.093816682 10.4690834098
----------------------------------------  time-step:  2
              …

You can see that the behavior of HUMAN_19 is slightly different in time-step
1 event though EGO doesn’t change its remote control parameters.

I have included a small example in the .zip folder attached. If you run:

python2.7 small_example/src/run_scenario.py,

first scenario 10_0 then scenario 20_0 will be executed, one after another.

If you comment in line 63 (#scenario_ids = ['20_0']) in run_example.py, only
scenario 20_0 will be executed.

After running the two options, you will be able to see the above output,
where in time-step 1 ‘HUMAN_19’ behaves differently even though the
environment is exactly the same.

Do you have any clue why?

Thanks!

Best,
Branka

small_example.zip
<http://sumo-user-mailing-list.90755.n8.nabble.com/file/t361/small_example.zip> 




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