You can add stop stages to the person plan. However there is no support at
the moment to add such stages with randomTrips. You'll likely have to do
some scripting yourself. Or you could use SAGA to generate day-plans
including stops:
https://github.com/lcodeca/SUMOActivityGen/blob/master/docs/SUMOActivityGen.md



Am Mi., 12. Mai 2021 um 12:53 Uhr schrieb Mateen Mahmood <
[email protected]>:

> Greetings!
> Thank you for your support.
>
> I am writing to know if while visiting an intermediate location, I can
> make the pedestian to stop there for a certain duration ?
> and secondly, if I can control the duration of stay per respective
> intermediate locations?
>
> For example, if the intermediate location represents a restaurant, the
> person stays there for an hour and if it is a shop person stays a few
> minutes.
>
> Many thanks again.
> Regards,
> Mateen
>
> On Thu, 6 May 2021 at 11:48, Jakob Erdmann <[email protected]> wrote:
>
>> 1) you can load a customized probability file that sets the probability
>> for each edge and each purpose (source, destination, intermediate):
>> https://sumo.dlr.de/docs/Tools/Trip.html#customized_weights
>> 2) you can use option --weights.priority-factor (for duarouter and sumo)
>> to increase the likelihood of using certain streets based on the edge
>> attribute 'priority'. With a default osm import, more important streets
>> have a higher value
>> 3) you can define a custom type for your persons or simply add a file
>> that overwrites the default type named "DEFAULT_PEDTYPE" with a custom
>> maxSpeed value.
>>
>> regards,
>> Jakob
>>
>> Am Do., 6. Mai 2021 um 10:49 Uhr schrieb Mateen Mahmood <
>> [email protected]>:
>>
>>> Greetings!
>>>
>>> I am using the below line of code to generate pedestrian trajectories of
>>> 100 individuals with visits to 10 intermediate locations.
>>>
>>> *randomTrips.py -n valencia.net.xml --intermediate 10 --pedestrians -r
>>> movement.rou.xml -e 1 -p 0.01*
>>>
>>> I am writing to seek guidance on below queries:
>>> - if I can fix the intermediate locations? or provide with a set of lets
>>> suppose 20 locations and 10 are chosen out of those?
>>> - if I can make the trajectories to follow particular streets? or follow
>>> main avenues more often than the smaller streets
>>> -  if I can make them slow in their movement? I think that increasing
>>> the duration of <begin/end> time makes the slower.
>>>
>>> Please suggest. I will be grateful. Thanks!
>>>
>>> Regards,
>>> Mateen
>>>
>>> On Tue, 4 May 2021 at 20:01, Jakob Erdmann <[email protected]>
>>> wrote:
>>>
>>>> option --max-dist limits the maximum straight-line distance between
>>>> origin and destination to the given number of meters. It's main use is to
>>>> prevent overly long pedestrian walks in large networks (since people tend
>>>> to use other modes of transport if the distance  is too large).
>>>>
>>>> Am Di., 4. Mai 2021 um 11:40 Uhr schrieb Mateen Mahmood <
>>>> [email protected]>:
>>>>
>>>>> Dear Jakob
>>>>> Greetings!
>>>>>
>>>>> I am writing to seek guidance on how I can use the '--max-dist'
>>>>> functionality in the below random generation and what exactly is its
>>>>> purpose? I am unable to find details regarding that. Many thanks!
>>>>>
>>>>> Regards,
>>>>> Mateen
>>>>>
>>>>> On Thu, 25 Feb 2021 at 09:42, Jakob Erdmann <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> Hello,
>>>>>> the easiest solution currently is to generate very long walks for a
>>>>>> fixed number of pedestrians in a dense network.
>>>>>> due to a bug in randomTrips generation, the following works only in
>>>>>> the latest development version:
>>>>>>
>>>>>> randomTrips.py -n yournet.xml --intermediate 1000 --persons -e 1 -p
>>>>>> 0.01
>>>>>>
>>>>>> (generate 100 pedestrians that depart in the first second and each
>>>>>> walks a sequence of 1000 random locations).
>>>>>>
>>>>>> regards,
>>>>>> Jakob
>>>>>>
>>>>>> Am Di., 23. Feb. 2021 um 14:07 Uhr schrieb Muhammad Mateen Mahmood <
>>>>>> [email protected]>:
>>>>>>
>>>>>>> Greetings!
>>>>>>>
>>>>>>> I am writing to seek guidance related to below queries regarding
>>>>>>> pedestrian trajectories:
>>>>>>> - Can the total count of individuals (pedestrians) be restricted? *like
>>>>>>> to have only 100 individuals moving inside the study area (closed 
>>>>>>> space). *
>>>>>>> - Can sumo generate multiple trajectories of a single individual or
>>>>>>> a continuous movement of an individual within a closed space?
>>>>>>>
>>>>>>> I need movement trajectories of a population to execute a contact
>>>>>>> tracing process, which requires multiple trajectories of all individuals
>>>>>>> with resticted count of total population.
>>>>>>>
>>>>>>> Thank you for your support and guidance.
>>>>>>>
>>>>>>> Regards,
>>>>>>> Mateen Mahmood
>>>>>>> M.Sc Geospatial Technologies
>>>>>>> Universitat Jaume I, Spain
>>>>>>> _______________________________________________
>>>>>>> sumo-user mailing list
>>>>>>> [email protected]
>>>>>>> To unsubscribe from this list, visit
>>>>>>> https://www.eclipse.org/mailman/listinfo/sumo-user
>>>>>>>
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>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Regards,
>>>>> Mateen Mahmood
>>>>> +34 641 451 890
>>>>> _______________________________________________
>>>>> sumo-user mailing list
>>>>> [email protected]
>>>>> To unsubscribe from this list, visit
>>>>> https://www.eclipse.org/mailman/listinfo/sumo-user
>>>>>
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>>>
>>>
>>> --
>>> Regards,
>>> Mateen Mahmood
>>> +34 641 451 890
>>> _______________________________________________
>>> sumo-user mailing list
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>>> To unsubscribe from this list, visit
>>> https://www.eclipse.org/mailman/listinfo/sumo-user
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>
>
> --
> Regards,
> Mateen Mahmood
> +34 641 451 890
> _______________________________________________
> sumo-user mailing list
> [email protected]
> To unsubscribe from this list, visit
> https://www.eclipse.org/mailman/listinfo/sumo-user
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