I downloaded the files from:
https://sumo.dlr.de/docs/Downloads.php#sumo_-_latest_development_version
But get the original error:
Traceback (most recent call last):
File "detector/edgeDataFromFlow.py", line 124, in <module>
main(get_options())
File "detector/edgeDataFromFlow.py", line 86, in main
beginM = int(sumolib.miscutils.parseTime(options.begin, 60) / 60)
TypeError: parseTime() takes exactly 1 argument (2 given)
Could this be a bug or do you think it is a problem on my end?
On Wed, Aug 26, 2020 at 2:11 AM Jakob Erdmann <[email protected]> wrote:
> Hello,
> the error you encountered indicates that you are loading sumo tools from
> different versions which are incompatible regarding their internal API
> (parseTime). Make sure you update all of the sumo tool, the linked
> debugging tip applies also to the other tools:
> https://sumo.dlr.de/docs/TraCI/Interfacing_TraCI_from_Python.html#determine_the_traci_library_being_loaded
>
> Regarding your steps, there may be a misunderstanding.
> In step 1, the route file generated by randomTrips is used as input for
> routeSampler.py rather than as input to edgeDataFromFlow.
>
> Regarding the resulting flows, try running routeSampler with the option
> --optimize full and post the log output.
>
> regards,
> Jakob
>
>
> Am Mi., 26. Aug. 2020 um 00:31 Uhr schrieb Sumo User <
> [email protected]>:
>
>> I used the latest development version and got this error:
>>
>> Traceback (most recent call last):
>> File "detector/edgeDataFromFlow.py", line 124, in <module>
>> main(get_options())
>> File "detector/edgeDataFromFlow.py", line 86, in main
>> beginM = int(sumolib.miscutils.parseTime(options.begin, 60) / 60)
>> TypeError: parseTime() takes exactly 1 argument (2 given)
>>
>> I opened the code and changed this:
>>
>> beginM = int(sumolib.miscutils.parseTime(options.begin, 60) / 60)
>>
>> intervalM = int(sumolib.miscutils.parseTime(options.interval, 60) /
>> 60)
>>
>> endM = min(int(sumolib.miscutils.parseTime(options.end, 60) / 60),
>> tMax)
>>
>> to this:
>>
>> beginM = int(sumolib.miscutils.parseTime(options.begin) / 60)
>>
>> intervalM = int(sumolib.miscutils.parseTime(options.interval) / 60)
>>
>> endM = min(int(sumolib.miscutils.parseTime(options.end) / 60), tMax)
>>
>> I changed the input interval and end times from minutes to seconds and it
>> ran. But the flow rate did not match my measured data well enough. For
>> example, some exit ramps had a flow of 0 for almost the entire simulation
>> when they should have had cars constantly using them. I'm not too
>> experienced with Python, so I do not know if that edit I made is the reason
>> for the error.
>>
>> I'm not sure where my error is, I wanted to make sure that the following
>> steps made sense:
>> 1) randomTrips.py to get the route file used in edgeDataFromFlow
>> 2) edgeDataFromFlow.py to get the edgeData file
>> 3) routeSampler.py for the route file used in the simulation
>> 4) DFRouter for a validation file and detector file
>> 5) SUMO
>>
>>
>>
>> On Tue, Aug 25, 2020 at 2:06 AM Jakob Erdmann <[email protected]>
>> wrote:
>>
>>> Unfortunately, the 1.6.0 version of routeSampler did not yet handle data
>>> intervals. This is fixed in the latest development version (
>>> https://sumo.dlr.de/docs/Downloads.php#sumo_-_latest_development_version
>>> ).
>>> However, I would recommend setting the option "--interval 900" to
>>> aggregate the interval data to larger time slices. (or larger depending on
>>> the typical travel time of vehicles within your network).
>>>
>>> Am Mo., 24. Aug. 2020 um 18:34 Uhr schrieb Sumo User <
>>> [email protected]>:
>>>
>>>> Thank you for your response Jakob.
>>>>
>>>> I am working on using routeSampler.py, but have run into a problem
>>>> using edgeDataFromFlow.py. My flow data that was previously used as a flow
>>>> input file to DFRouter is three hours of data in 5 minute intervals. When
>>>> I run edgeDataFromFlow, I get an end time of 3600 seconds, but for three
>>>> hours I would expect 10800. I looked in the Python file and did not see an
>>>> input for end time, so I was wondering how to change it.
>>>>
>>>> Thank you,
>>>> Alex
>>>>
>>>> On Thu, Aug 20, 2020 at 2:08 PM Jakob Erdmann <[email protected]>
>>>> wrote:
>>>>
>>>>> Unfortunately, DFRouter does not provide additional customization
>>>>> features. Consider using routeSampler.py instead.
>>>>> However, this will only give meaningful changes if the measurement
>>>>> data does not constrain the possible route combinations too strongly.
>>>>> You could also try to define a stronger variation in vehicle speeds by
>>>>> using the speedDev attribute and set sumo option --random in addition to
>>>>> dfrouter option --random.
>>>>>
>>>>> Am Do., 20. Aug. 2020 um 19:04 Uhr schrieb Sumo User <
>>>>> [email protected]>:
>>>>>
>>>>>> Hello,
>>>>>>
>>>>>> I have a set of measured data from a highway on a specific
>>>>>> afternoon. When use DFROUTER to run a simulation, the validation file
>>>>>> matches the measured data in flow and speed well. But after running many
>>>>>> simulations (>500), I can see that all the validation files are extremely
>>>>>> similar to each other. What I want is to use my measured data as a base,
>>>>>> but have more variation so the simulation does not provide extremely
>>>>>> similar outputs each time. I have set --random to true and
>>>>>> --randomize-flows to true, but that does not provide the variation that I
>>>>>> seek. I want to know if it is possible to generate outputs that are still
>>>>>> close to my measured data, but vary between simulations.
>>>>>>
>>>>>> Any ideas are appreciated!!
>>>>>> _______________________________________________
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>>>>>>
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