Hello,
1) What traci client library, sumo version and operating system are you
using? Also, can you qualify "rather" slowly in terms of slowdown compared
to a simulation without traci? Some slowdown is to be expected but I
wouldn't expect it to be too large.

2) Currently this is not possible. A proposed solution is outlined here:
http://sumo.dlr.de/trac.wsgi/ticket/2647

3) This can be done and shouldn't cause problems. For limitations see
http://sumo.dlr.de/wiki/FAQ#Are_there_any_limits_in_regard_to_the_size_of_a_simulation_scenario.3F
Note, that there are further state variables beyond position and speed (the
random seed and various variables within the lane-changing model)

regards,
Jakob



2016-11-04 11:33 GMT+01:00 KANAAD VINAYAK PARVATE <[email protected]>:

> Hi all,
>
> I'm part of a research group at UC Berkeley focusing on the application of
> reinforcement learning to autonomous vehicles. We're trying to interface
> SUMO with OpenAi's RLLab reinforcement learning package.
>
> In order to to facilitate running simulations with autonomous vehicles
> repeatedly, updating their controllers according to a new policy, we are
> trying to design a wrapper for sumo using the traci library.
>
> Having just started the design and implementation of our wrapper, we had a
> couple of questions:
>
>    1. The simulation seems to be running rather slowly when traci is
>    attached (even though it's not actually issuing any commands, just
> calling
>    simulationStep()). What is the bottleneck? My guess would be the
> traci-sumo
>    connection, rather than sumo, or traci individually. Is there some way
> to
>    alleviate this issue?
>    2. Each simulation should be started from an identical start point. Is
>    there a way to restart the simulation without closing and reopening
> traci?
>    3. One possible solution to 2) that we have considered is using traci to
>    reset each car's position and speed individually to the original state.
>    This however, would not reset SUMO's time/step counters. Would
> increasing
>    end time of the simulation to the maximum value (somewhere on the order
> of
>    10^15) have any unforeseen consequences as the numbers get very large?
>
> We're really excited to get working with SUMO and would love some guidance.
> Thank you!
>
> Cheers,
>
> Kanaad Parvate
>
> UC Berkeley EECS '19
> ᐧ
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