I'm doing this to install the last version sumo on ubuntu :
sudo add-apt-repository ppa:sumo/stable
sudo apt-get update
sudo apt-get install sumo sumo-tools sumo-doc
And I get 0.30.0 as a newest version.
When I download the 0.31.0 version manually and I try to install I get
too many errors. Is it possible to install the last version using the
ppa?
2017-11-22 19:16 GMT+00:00 Jakob Erdmann <namdre.s...@googlemail.com>:
> Hello,
> the avg pedestrian walking duration should be included since version 0.31.
> If you are certain that this version of sumo is used, the only way your
> output makes sense if you had persons but they weren't walking (only riding
> in vehicles).
>
> The timeloss values for pedestrians (in statistics and tripinfos) as well
> as duration in tripinfos are only available in the latest development
> version.
>
> There is no support for waiting time but timeLoss (waitingTime + time lost
> due to slow-downs) is generally quite similar.
>
> regards,
> Jakob
>
> 2017-11-22 20:07 GMT+01:00 Sara el hamdani <saraelhamd...@gmail.com>:
>
>> I apologize for asking the question it was my fault to give the same node
>> id twice. the problem is solved now.
>>
>> However, I have an other question. I'm using sumo 0.31 and I get this
>> information in the logfile:
>>
>> Performance:
>> Duration: 86945ms
>> Real time factor: 1.92766
>> UPS: 369.935016
>> Vehicles:
>> Inserted: 167
>> Running: 27
>> Waiting: 0
>> Persons:
>> Inserted: 25
>> Running: 20
>> Statistics (avg):
>> RouteLength: 194.90
>> Duration: 18.50
>> WaitingTime: 0.89
>> TimeLoss: 4.37
>> DepartDelay: 0.02
>>
>> Duration and waiting time and timeloss averages are related to the
>> vehicle and they are very useful to me. But I couldn't get the person
>> duration avg. that I used to have in the old version of sumo. The person
>> trip duration disappeared also from the tripinfo output. How can I get is
>> in this version?
>>
>> I need also the person waiting time due to stopping for red light or
>> other reason. Can I get it using sumo?
>>
>> 2017-11-22 18:41 GMT+00:00 Sara el hamdani <saraelhamd...@gmail.com>:
>>
>>> Thank you jakob for the reply!
>>> I wanted to asck about tlLogic too.
>>> I have two signalized and connected intersections. I saved my tlLogic
>>> program in an additional file and I'm calling in as an input in the sumocfg
>>> file.
>>> I want that my tlLogic program : <tlLogic id="0" programID="my_program"
>>> offset="0" type="static"> control the two intersection, when it is
>>> controlling just one node and I can't understand why the second do not
>>> respond to the program. I do not have any other tll files and the net file
>>> is recreated every time I exectute the python script.
>>> Can I give the programID to the intersection in the node file? How can I
>>> make the tow intersections respond to the same program.
>>>
>>> 2017-11-22 15:51 GMT+00:00 Jakob Erdmann <namdre.s...@googlemail.com>:
>>>
>>>> Yes, the depart distribution from your code should be equivalent to the
>>>> randomTrips behavior with the given options.
>>>>
>>>> 2017-11-21 10:47 GMT+01:00 Sara el hamdani via sumo-user <
>>>> sumo-u...@lists.sourceforge.net>:
>>>>
>>>>> Hello sumo users,
>>>>>
>>>>> I want the pedestrians to trip in certain walking ereas, and I'm using
>>>>> this
>>>>> code to write the trip file.
>>>>>
>>>>> with open("pedestrians.trip.xml", "w") as routes: print('<routes
>>>>> xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
>>>>> xsi:noNamespaceSchemaLocation="http://sumo.dlr.de/xsd/routes_file.xsd
>>>>> ">',
>>>>> file=routes)
>>>>> lastVeh = 0
>>>>> perNr = 0
>>>>> p2a10 = 1. / 35
>>>>> p2a11 = 1. / 35
>>>>> p2a12 = 1. / 35
>>>>> p2a13 = 1. / 35
>>>>> for i in range(N):
>>>>> if random.uniform(0, 1) < p2a10:
>>>>> print(' <person id="ped%i" depart="%i">' % (perNr, i),
>>>>> file=routes)
>>>>> print(' <walk from= "1b" to= "1e" departPos="0"
>>>>> arrivalPos="50"/>', file=routes)
>>>>> print(' </person>', file=routes)
>>>>> perNr += 1
>>>>> lastVeh = i
>>>>> if random.uniform(0, 1) < p2a11:
>>>>> print(' <person id="ped%i" depart="%i">' % (perNr, i),
>>>>> file=routes)
>>>>> print(' <walk from= "1e" to= "1b" departPos="50"
>>>>> arrivalPos="0"/>', file=routes)
>>>>> print(' </person>', file=routes)
>>>>> perNr += 1
>>>>> lastVeh = i
>>>>> if random.uniform(0, 1) < p2a12:
>>>>> print(' <person id="ped%i" depart="%i">' % (perNr, i),
>>>>> file=routes)
>>>>> print(' <walk from= "4o" to= "3i" departPos="50"
>>>>> arrivalPos="0"/>', file=routes)
>>>>> print(' </person>', file=routes)
>>>>> perNr += 1
>>>>> lastVeh = i
>>>>> if random.uniform(0, 1) < p2a13:
>>>>> print(' <person id="ped%i" depart="%i">' % (perNr, i),
>>>>> file=routes)
>>>>> print(' <walk from= "3i" to= "4o" departPos="0"
>>>>> arrivalPos="50"/>', file=routes)
>>>>> print(' </person>', file=routes)
>>>>> perNr += 1
>>>>> lastVeh = i
>>>>>
>>>>> print("</routes>", file=routes)
>>>>>
>>>>> I need to make sure that giving the rate 1. / 35 to each walking erea
>>>>> (4
>>>>> times) is equivalent to giving the period '--period', '35' (like in
>>>>> the
>>>>> following code) to the whole walking ereas. Will I get the same
>>>>> pedestrian
>>>>> flow frequency?
>>>>>
>>>>> # randomTrips.main(randomTrips.get_options([
>>>>> # '--net-file', net,
>>>>> # '--output-trip-file', 'pedestrians.trip.xml',
>>>>> # '--seed', '42', # make runs reproducible
>>>>> # '--pedestrians',
>>>>> # '--prefix', 'ped',
>>>>> # # prevent trips that start and end on the same edge
>>>>> # '--min-distance', '1',
>>>>> # '--trip-attributes', 'departLane="1a10_0"
>>>>> departPos="random"
>>>>> arrivalPos="random"',
>>>>> # '--binomial', '4',
>>>>> # '--period', '35']))
>>>>>
>>>>> --
>>>>> *Best regards*
>>>>>
>>>>>
>>>>> *Sara EL HAMDANI*
>>>>> *Phd student -Umi University.*
>>>>> ------------------------------------------------------------
>>>>> ------------------
>>>>> Check out the vibrant tech community on one of the world's most
>>>>> engaging tech sites, Slashdot.org! http://sdm.link/slashdot
>>>>> _______________________________________________
>>>>> sumo-user mailing list
>>>>> sumo-u...@lists.sourceforge.net
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>>>>>
>>>>
>>>>
>>>
>>>
>>> --
>>> *Best regards*
>>>
>>>
>>> *Sara EL HAMDANI*
>>> *Phd student -Umi University.*
>>>
>>
>>
>>
>> --
>> *Best regards*
>>
>>
>> *Sara EL HAMDANI*
>> *Phd student -Umi University.*
>>
>
>
--
*Best regards*
*Sara EL HAMDANI*
*Phd student -Umi University.*
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