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Collect gtfs-rt over a period of time and compare it with the schedule data to highlight areas where the schedule needs work (and possibly export a corrected schedule back out to GTFS). Let's close the feedback loop!
Do you want a tool like this?
If you work for a transit agency and are interested in studying schedule adherence, I would love to talk to you. Please contact me.
The text was updated successfully, but these errors were encountered:
From some preliminary research, it looks like the Vehicle Positions portion of the GTFS-rt feeds would be the most relevant, if they can be recorded over time. It contains far more information than I initially assumed, though it's not clear how many agencies actually populate all that information.
For future reference, for messing around with installing python packages:
To download the VirtualEnv package that works with Python 2.7, get the latest .tar.gz file from https://pypi.python.org/pypi/virtualenv and unzip using 7-zip.
Then to create a new virtualenv called “env” in a folder called “test” with access to global site packages (in case you need to use arcpy): "E:\PyPlay\virtualenv-15.1.0\virtualenv.py" test\env –system-site-packages
Always remember to activate the virtualenv before using it. test\env\scripts\activate.bat
Then you can run pip to get the package in your virtualenv
As previously discussed, I could see a use case for this. As you noted, the information inside of a real time GTFS feed is potentially very dense (schedule adherence and other info). I think the historical component (over a week or month) could be good for speed/reliability analysis.
Collect gtfs-rt over a period of time and compare it with the schedule data to highlight areas where the schedule needs work (and possibly export a corrected schedule back out to GTFS). Let's close the feedback loop!
Do you want a tool like this?
If you work for a transit agency and are interested in studying schedule adherence, I would love to talk to you. Please contact me.
The text was updated successfully, but these errors were encountered: