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Re: [sumo-user] Generating edge-based output data

Hello,
edgeData is time based so the values change depending on the simulation time. Before you use 'recalibrate rainbow'  you need to advance the simulation to the begin time of the first data interval. (at least you need to press 'step' once to advance the simulation to step 0). I've added this tip to the wiki now.

The statistics output should work with the options you have set. Note, that you need to close sumo-gui to ensure that all files are completely written (or use 'sumo' instead).

There is currently no tutorial on output visualization that I know of. I'm open for suggestions in regard to improving the wiki.

regards,
Jakob

Am Di., 6. Aug. 2019 um 14:37 Uhr schrieb Hoffmann, Pascal <pascal.hoffmann@xxxxxx>:

Dear sumo users,


I try to generate output data with the MOST scenario. Basically what I want to see is aggregated density, speed, traveltime and waiting time and the same data per vehicle on time. So I started to create an additional file like:

https://github.com/eclipse/sumo/blob/master/tests/sumo/output/meandata_edgebased/one_vehicle/interval60s/input_additional.add.xml


and implemented in the most.sumocfg file. After the simulation, I load the most.net.xml file and open the edge data file. So far, everything is fine. When I want to display the values with edit visualisation -->  streets --> color --> by edge data and choose a parameter like waiting time (or any another) and recalibrate rainbow, nothing happens. Although the edge_data.xml is full with the correct data. In addition, I want to the duration-log.statistics, but it is not working as well:

    <report>
        <verbose value="true"/>
        <duration-log.statistics value="true"/>
        <log value="normalmost_sim.log"/>
    </report>

Do you know, what the mistake might be? Do you know a good tutorial like on youtube or anywhere else, where they describe how to do basic generation of output data and visualisation with sumo (or even python scripts like mpl_dump_onNet.py) ?


Thanks in advance!


Best regards,

Pascal




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