PS: pull requests are welcome: https://github.com/eclipse/sumo/issues/6613

Am Do., 17. März 2022 um 08:58 Uhr schrieb Jakob Erdmann <
[email protected]>:

> Hello,
>
> I'd recommend routeSampler.py (
> https://sumo.dlr.de/docs/Tools/Turns.html#routesamplerpy) instead of the
> calibrator approach because it is simpler and more robust (The page
> https://sumo.dlr.de/docs/Simulation/Calibrator.html#building_a_scenario_without_knowledge_of_routes_based_on_flow_measurements
> was a bit outdated).
>
> There is currently not tool in sumo that maps lon,lat data into the
> required edgeData input format.
> For small scenarios, you could try convert the lon,lat data into sumo-POIs
> (i.e. with https://sumo.dlr.de/docs/Tools/Xml.html#csv2xmlpy) and then
> define the needed edgeData input file visually in netedit.
> For larger scenarios, you need to write your own import routine but you
> can use python libraries provided by sumo to automate the mapping (
> https://sumo.dlr.de/docs/Geo-Coordinates.html)
>
> regards,
> Jakob
>
>
> Am Mi., 16. März 2022 um 22:17 Uhr schrieb Petros Br <
> [email protected]>:
>
>> Hello,
>>
>> My question might be generic, but i 'd appreciate a little help or just a
>> guidance of my next moves. I' ve downoladed raw data from traffic sensors
>> located in the city of Athens. Those sensors provide information about
>> hourly flow (counted cars within an hour) and average speed. I also have a
>> document with the long and lat of every sensor. Those files are at csv
>> format. Is there any way of importing those data into Sumo in order to get
>> visualization of traffic flows in a specific date? I think the sumo
>> tutorials suggest calibrators.
>>
>> Thanks for your time.
>>
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>
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