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Re: [sumo-user] Feeding SUMO with Time Series data

Hi,
if your network is properly connected (meaning there are indeed more
than five or six edges which can be reached) you should try to generate
more random trips as input.

Best regards,
Michael

Am 13.10.21 um 21:21 schrieb Toprak Fırat:
> Hello,
> 
> After sometime I figured how to use routeSampler.py. To test, I selected
> a road and created an edge-count data file by giving a random qPKW value
> for the road that I’ve picked. Every car that is generated is being
> spawned on the road that I’ve initially selected, as I desired, so this
> was successful. However, they are not going to different destinations
> but instead there are 5-6 destinations that they all go to, what am I
> doing wrong? As far as I understood, routeSampler picks the routes that
> are generated by randomtrips.py and tries to generate agents with
> respect to the edge-count data. So, is this caused by randomtrips not
> generating enough route variety from the road that I picked for my test?
> How can I solve this? 
> 
> Regards,
> 
> 
>> On 6 Oct 2021, at 18:40, Jakob Erdmann <namdre.sumo@xxxxxxxxx
>> <mailto:namdre.sumo@xxxxxxxxx>> wrote:
>>
>> see
>> https://sumo.dlr.de/docs/Demand/Routes_from_Observation_Points.html
>> <https://sumo.dlr.de/docs/Demand/Routes_from_Observation_Points.html>
>> I recommend routeSampler.py for the highways.
>>
>> Am Mi., 6. Okt. 2021 um 16:01 Uhr schrieb Toprak Fırat
>> <atoprakfirat@xxxxxxxxx <mailto:atoprakfirat@xxxxxxxxx>>:
>>
>>     I have time series data of some highways but don’t have any
>>     information about inner city roads etc. I want to feed the
>>     highways on the network with that data and simulate the traffic on
>>     inner city roads with SUMO. How can I achieve this, do I have to
>>     manually create routes and demands?
>>
>>     Thanks a lot!
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> 
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