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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