Thank you for your answer Jakob.
Obviously I do know that this problem is highly underderminated and complex,
but even for just single examplary routes flowrouter (and especially it’s the
respect-zero function) doesn’t really do what I want it to.
In combination with the calibrators it works pretty well, but I thought there
could be a more elegant solution which I don’t see because I am very new to
SUMO.
Maybe u or someone else can explain me how to create a <REALFLOWS>-file in
cadytsIterate.py because i wanna give it a try just to compare the results.
The <REALFLOWS>-file has to be a XML-file in form of:
<measurements>
<singlelink link="1to21" start="25200" end="32400" value="750" stddev="8"
type="COUNT_VEH"/>
<singlelink link="1to22" start="25200" end="32400" value="250" stddev="8"
type="COUNT_VEH"/>
</measurements>
I converted my detector data to the following format which is compatible for
flowrouter:
Detector;Time;qPKW;vPKW
Detektor_Nummer_16_unten;0;2;10
Detektor_Nummer_1_unten;1;1;11
Detektor_Nummer_11_unten;2;2;13
Detektor_Nummer_2_unten;0;3;9
Detektor_Nummer_8_unten;0;2;10
Detektor_Nummer_13_oben;1;1;12
Detektor_Nummer_7_oben;1;2;12
…
With help of the additional file I can also figure out the lane and exact
position of those defined detectors.
I suppose the <REALFLOWS>-file in cadytsIterate.py uses aggregated data for the
time span start to end on the different lanes, but I am not sure.
Thanks & Cheers,
Kevin
Von: [email protected] [mailto:[email protected]] Im
Auftrag von Jakob Erdmann
Gesendet: Donnerstag, 21. März 2019 13:44
An: Sumo project User discussions
Betreff: Re: [sumo-user] Validation of detected data
The problem flowrouter has to solve in a city network is strongly
underdetermined. There are plenty of knobs and dials to improve the result
(among other things you can forbid explicit routes O/D-pairs.
You could also try cadyts which adapts demand levels to detectors for a
pre-determined set of routes:
https://people.kth.se/~gunnarfl/cadyts.html
https://sumo.dlr.de/wiki/Contributed/Cadyts
https://www.researchgate.net/publication/318418803_SUMO-Cadyts_calibration_with_limited_data_quality
regards,
Jakob
Am Mi., 20. März 2019 um 13:21 Uhr schrieb Kevin Malena
<[email protected]<mailto:[email protected]>>:
Hey…
I want to validate detected data in a sumo network of my city (at different
spots i placed sensors to detect every incoming and outgoing vehicle with
speed, arrival time and type).
I triedto use flowrouter, but the generated routes don’t really fit the data.
Right now I implement a combination of the generated routes and flows by
flowrouter with the ‚dynamic‘ calibrators using route probes (see docu:
Building a scenario without knowledge of routes, based on flow measurements).
Do you know about a different method like flowrouter which is more precise?
Thanks,
Kevin
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