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Feb open data #1029
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Feb open data #1029
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nbviewer URLs for impacted notebooks: |
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open data
segment speeds
stop_geometry.to_crs("EPSG:3310")
because we leave some nearest neighbors inputs as "EPSG:4326". Also renamegeometry
tovp_geometry
for clarity.select_stop_segments
, we create a segments df to use...but then we never call it anywhere. use it innearest_vp_to_stop
when we construct ourstop_times
table.interpolate_stop_arrivals
,stop_arrivals_to_speed
, andaverage_speeds
steps for all dates.29_speed_cutoffs
notebook and look at distributions ofmeters_elapsed
,sec_elapsed
and implement 2 cutoffs for trip averages to be rolled up into route-dir averages: (a) 10 minute minimum to match what our usable vps are, (b) 180 min / 3 hr maximum for 1 trip duration. any longer, these might be erroneously calculated. This affects a lot of the very low speeds (<1 mph average)utils_to_add
, these are now incalitp_data_analysis.utils
gtfs_segments
base nearest neighbors function in pipeline #996segment_speed_utils.time_series_utils
to help concatenategtfs digest
route_id-direction_id
and use line charts fortime_period
so we can see all the routes at onceMakefile
should use$(eval export site = route_speeds)
shared_utils
rt_dates
and includey2024_dates
,y2023_dates
,oct_week
, andapr_week
...dates with vp data that we use for speeds. Easier to refer to when we need to run through a bunch of dates.