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advancetransit-vt-us — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T13:01:09Z,
for the dataset file:///shared/advancetransit-vt-us_10b55cbc.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Trillium Solutions, Inc.
Feed Email:
support+test+advancetransit-vt-us@trilliumtransit.com
Feed Language:
English
Feed Start Date:
2026-02-24
Feed End Date:
2026-08-31

Files included

  1. agency.txt
  2. areas.txt
  3. booking_rules.txt
  4. calendar.txt
  5. calendar_attributes.txt
  6. calendar_dates.txt
  7. directions.txt
  8. fare_attributes.txt
  9. fare_rules.txt
  10. farezone_attributes.txt
  11. feed_info.txt
  12. frequencies.txt
  13. linked_datasets.txt
  14. location_groups.txt
  15. routes.txt
  16. runcut.txt
  17. shapes.txt
  18. stop_attributes.txt
  19. stop_times.txt
  20. stops.txt
  21. timetable_stop_order.txt
  22. timetables.txt
  23. transfers.txt
  24. trips.txt

Counts

  • Agencies: 1
  • Blocks: 24
  • Routes: 12
  • Shapes: 68
  • Stops: 203
  • Trips: 1430

Specification Compliance report

140 notices reported (0 errors, 92 warnings, 48 infos)

Notice Code Severity Total
expired_calendar WARNING 4

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
5 "c_71343_b_85015_d_32"
6 "c_71343_b_85015_d_31"
8 "c_69870_b_85575_d_31"
9 "c_69846_b_85573_d_31"
fast_travel_between_consecutive_stops WARNING 64

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

Only the first 50 of 64 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
340 "t_6146638_b_86317_tn_0" "7127" 151.5345922008417 0.3367435382240927 15276 3 "2388432" "Mascoma Svgs Bk" "18:30:25" 15277 4 "2388435" "Cascadnac Ave" "18:30:33"
260 "t_6059629_b_85015_tn_0" "7127" 151.5345922008417 0.3367435382240927 15276 3 "2388432" "Mascoma Svgs Bk" "18:30:25" 15277 4 "2388435" "Cascadnac Ave" "18:30:33"
340 "t_6146638_b_86317_tn_0" "7127" 165.9287604931877 0.2765479341553128 15277 4 "2388435" "Cascadnac Ave" "18:30:33" 15278 5 "2388436" "Shady Lawn" "18:30:39"
260 "t_6059629_b_85015_tn_0" "7127" 165.9287604931877 0.2765479341553128 15277 4 "2388435" "Cascadnac Ave" "18:30:33" 15278 5 "2388436" "Shady Lawn" "18:30:39"
340 "t_6146638_b_86317_tn_0" "7127" 204.33510546833773 0.0567597515189827 15279 6 "2388385" "Hartford PO, Opp." "18:31:02" 15280 7 "2388384" "Hartford PO" "18:31:03"
260 "t_6059629_b_85015_tn_0" "7127" 204.33510546833773 0.0567597515189827 15279 6 "2388385" "Hartford PO, Opp." "18:31:02" 15280 7 "2388384" "Hartford PO" "18:31:03"
340 "t_6146638_b_86317_tn_0" "7127" 153.3569769684698 0.8945823656494073 15280 7 "2388384" "Hartford PO" "18:31:03" 15281 8 "2388383" "Shady Lawn, Opp." "18:31:24"
260 "t_6059629_b_85015_tn_0" "7127" 153.3569769684698 0.8945823656494073 15280 7 "2388384" "Hartford PO" "18:31:03" 15281 8 "2388383" "Shady Lawn, Opp." "18:31:24"
246 "t_6059630_b_85015_tn_0" "7127" 151.5345922008417 0.3367435382240927 6103 3 "2388432" "Mascoma Svgs Bk" "19:30:25" 6104 4 "2388435" "Cascadnac Ave" "19:30:33"
333 "t_6146826_b_86317_tn_0" "7127" 151.5345922008417 0.3367435382240927 6103 3 "2388432" "Mascoma Svgs Bk" "19:30:25" 6104 4 "2388435" "Cascadnac Ave" "19:30:33"
246 "t_6059630_b_85015_tn_0" "7127" 165.9287604931877 0.2765479341553128 6104 4 "2388435" "Cascadnac Ave" "19:30:33" 6105 5 "2388436" "Shady Lawn" "19:30:39"
333 "t_6146826_b_86317_tn_0" "7127" 165.9287604931877 0.2765479341553128 6104 4 "2388435" "Cascadnac Ave" "19:30:33" 6105 5 "2388436" "Shady Lawn" "19:30:39"
246 "t_6059630_b_85015_tn_0" "7127" 204.33510546833773 0.0567597515189827 6106 6 "2388385" "Hartford PO, Opp." "19:31:02" 6107 7 "2388384" "Hartford PO" "19:31:03"
333 "t_6146826_b_86317_tn_0" "7127" 204.33510546833773 0.0567597515189827 6106 6 "2388385" "Hartford PO, Opp." "19:31:02" 6107 7 "2388384" "Hartford PO" "19:31:03"
246 "t_6059630_b_85015_tn_0" "7127" 153.3569769684698 0.8945823656494073 6107 7 "2388384" "Hartford PO" "19:31:03" 6108 8 "2388383" "Shady Lawn, Opp." "19:31:24"
333 "t_6146826_b_86317_tn_0" "7127" 153.3569769684698 0.8945823656494073 6107 7 "2388384" "Hartford PO" "19:31:03" 6108 8 "2388383" "Shady Lawn, Opp." "19:31:24"
330 "t_6146651_b_86317_tn_0" "7127" 174.6499088600666 0.6306802264391295 15575 1 "2388434" "West Lebanon" "20:25:00" 15576 2 "2388431" "Hartford Town Hall, Opp." "20:25:13"
261 "t_6059628_b_85015_tn_0" "7127" 174.6499088600666 0.6306802264391295 15575 1 "2388434" "West Lebanon" "20:25:00" 15576 2 "2388431" "Hartford Town Hall, Opp." "20:25:13"
330 "t_6146651_b_86317_tn_0" "7127" 170.37428011794995 0.3312833224515694 15576 2 "2388431" "Hartford Town Hall, Opp." "20:25:13" 15577 3 "2388432" "Mascoma Svgs Bk" "20:25:20"
261 "t_6059628_b_85015_tn_0" "7127" 170.37428011794995 0.3312833224515694 15576 2 "2388431" "Hartford Town Hall, Opp." "20:25:13" 15577 3 "2388432" "Mascoma Svgs Bk" "20:25:20"
330 "t_6146651_b_86317_tn_0" "7127" 173.18239108667623 0.3367435382240927 15577 3 "2388432" "Mascoma Svgs Bk" "20:25:20" 15578 4 "2388435" "Cascadnac Ave" "20:25:27"
261 "t_6059628_b_85015_tn_0" "7127" 173.18239108667623 0.3367435382240927 15577 3 "2388432" "Mascoma Svgs Bk" "20:25:20" 15578 4 "2388435" "Cascadnac Ave" "20:25:27"
330 "t_6146651_b_86317_tn_0" "7127" 199.11451259182522 0.2765479341553128 15578 4 "2388435" "Cascadnac Ave" "20:25:27" 15579 5 "2388436" "Shady Lawn" "20:25:32"
261 "t_6059628_b_85015_tn_0" "7127" 199.11451259182522 0.2765479341553128 15578 4 "2388435" "Cascadnac Ave" "20:25:27" 15579 5 "2388436" "Shady Lawn" "20:25:32"
330 "t_6146651_b_86317_tn_0" "7127" 185.55710869424203 0.9277855434712101 15579 5 "2388436" "Shady Lawn" "20:25:32" 15580 6 "2388385" "Hartford PO, Opp." "20:25:50"
261 "t_6059628_b_85015_tn_0" "7127" 185.55710869424203 0.9277855434712101 15579 5 "2388436" "Shady Lawn" "20:25:32" 15580 6 "2388385" "Hartford PO, Opp." "20:25:50"
330 "t_6146651_b_86317_tn_0" "7127" 201.67274303100066 0.33612123838500113 15581 7 "2388330" "Hartford Village" "20:26:07" 15582 8 "2388384" "Hartford PO" "20:26:13"
261 "t_6059628_b_85015_tn_0" "7127" 201.67274303100066 0.33612123838500113 15581 7 "2388330" "Hartford Village" "20:26:07" 15582 8 "2388384" "Hartford PO" "20:26:13"
330 "t_6146651_b_86317_tn_0" "7127" 178.91647312988144 0.8945823656494073 15582 8 "2388384" "Hartford PO" "20:26:13" 15583 9 "2388383" "Shady Lawn, Opp." "20:26:31"
261 "t_6059628_b_85015_tn_0" "7127" 178.91647312988144 0.8945823656494073 15582 8 "2388384" "Hartford PO" "20:26:13" 15583 9 "2388383" "Shady Lawn, Opp." "20:26:31"
330 "t_6146651_b_86317_tn_0" "7127" 181.68203874180372 0.2523361649191718 15583 9 "2388383" "Shady Lawn, Opp." "20:26:31" 15584 10 "2388382" "Cascadnac, Opp." "20:26:36"
261 "t_6059628_b_85015_tn_0" "7127" 181.68203874180372 0.2523361649191718 15583 9 "2388383" "Shady Lawn, Opp." "20:26:31" 15584 10 "2388382" "Cascadnac, Opp." "20:26:36"
330 "t_6146651_b_86317_tn_0" "7127" 164.56255360914508 0.45711820446984747 15584 10 "2388382" "Cascadnac, Opp." "20:26:36" 15585 11 "2388381" "US 5 @ Co-op" "20:26:46"
261 "t_6059628_b_85015_tn_0" "7127" 164.56255360914508 0.45711820446984747 15584 10 "2388382" "Cascadnac, Opp." "20:26:36" 15585 11 "2388381" "US 5 @ Co-op" "20:26:46"
330 "t_6146651_b_86317_tn_0" "7127" 173.56704778246458 0.6749829635984733 15585 11 "2388381" "US 5 @ Co-op" "20:26:46" 15586 12 "2388380" "Haven" "20:27:00"
261 "t_6059628_b_85015_tn_0" "7127" 173.56704778246458 0.6749829635984733 15585 11 "2388381" "US 5 @ Co-op" "20:26:46" 15586 12 "2388380" "Haven" "20:27:00"
351 "t_6146617_b_86317_tn_0" "7127" 174.6499088600666 0.6306802264391295 14814 1 "2388434" "West Lebanon" "18:00:00" 14815 2 "2388431" "Hartford Town Hall, Opp." "18:00:13"
248 "t_6059596_b_85015_tn_0" "7127" 174.6499088600666 0.6306802264391295 14814 1 "2388434" "West Lebanon" "18:00:00" 14815 2 "2388431" "Hartford Town Hall, Opp." "18:00:13"
351 "t_6146617_b_86317_tn_0" "7127" 170.37428011794995 0.3312833224515694 14815 2 "2388431" "Hartford Town Hall, Opp." "18:00:13" 14816 3 "2388432" "Mascoma Svgs Bk" "18:00:20"
248 "t_6059596_b_85015_tn_0" "7127" 170.37428011794995 0.3312833224515694 14815 2 "2388431" "Hartford Town Hall, Opp." "18:00:13" 14816 3 "2388432" "Mascoma Svgs Bk" "18:00:20"
351 "t_6146617_b_86317_tn_0" "7127" 173.18239108667623 0.3367435382240927 14816 3 "2388432" "Mascoma Svgs Bk" "18:00:20" 14817 4 "2388435" "Cascadnac Ave" "18:00:27"
248 "t_6059596_b_85015_tn_0" "7127" 173.18239108667623 0.3367435382240927 14816 3 "2388432" "Mascoma Svgs Bk" "18:00:20" 14817 4 "2388435" "Cascadnac Ave" "18:00:27"
351 "t_6146617_b_86317_tn_0" "7127" 199.11451259182522 0.2765479341553128 14817 4 "2388435" "Cascadnac Ave" "18:00:27" 14818 5 "2388436" "Shady Lawn" "18:00:32"
248 "t_6059596_b_85015_tn_0" "7127" 199.11451259182522 0.2765479341553128 14817 4 "2388435" "Cascadnac Ave" "18:00:27" 14818 5 "2388436" "Shady Lawn" "18:00:32"
351 "t_6146617_b_86317_tn_0" "7127" 185.55710869424203 0.9277855434712101 14818 5 "2388436" "Shady Lawn" "18:00:32" 14819 6 "2388385" "Hartford PO, Opp." "18:00:50"
248 "t_6059596_b_85015_tn_0" "7127" 185.55710869424203 0.9277855434712101 14818 5 "2388436" "Shady Lawn" "18:00:32" 14819 6 "2388385" "Hartford PO, Opp." "18:00:50"
351 "t_6146617_b_86317_tn_0" "7127" 201.67274303100066 0.33612123838500113 14820 7 "2388330" "Hartford Village" "18:01:07" 14821 8 "2388384" "Hartford PO" "18:01:13"
248 "t_6059596_b_85015_tn_0" "7127" 201.67274303100066 0.33612123838500113 14820 7 "2388330" "Hartford Village" "18:01:07" 14821 8 "2388384" "Hartford PO" "18:01:13"
351 "t_6146617_b_86317_tn_0" "7127" 178.91647312988144 0.8945823656494073 14821 8 "2388384" "Hartford PO" "18:01:13" 14822 9 "2388383" "Shady Lawn, Opp." "18:01:31"
248 "t_6059596_b_85015_tn_0" "7127" 178.91647312988144 0.8945823656494073 14821 8 "2388384" "Hartford PO" "18:01:13" 14822 9 "2388383" "Shady Lawn, Opp." "18:01:31"
mixed_case_recommended_field WARNING 12

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_short_name" "12pm-2:56pm" 131
"trips.txt" "trip_short_name" "12pm-2:56pm" 132
"trips.txt" "trip_short_name" "12pm-2:56pm" 133
"trips.txt" "trip_short_name" "12pm-2:56pm" 134
"trips.txt" "trip_short_name" "12pm-2:56pm" 135
"trips.txt" "trip_short_name" "12pm-2:56pm" 136
"trips.txt" "trip_short_name" "12pm-2:56pm" 218
"trips.txt" "trip_short_name" "12pm-2:56pm" 219
"trips.txt" "trip_short_name" "12pm-2:56pm" 220
"trips.txt" "trip_short_name" "12pm-2:56pm" 241
"trips.txt" "trip_short_name" "12pm-2:56pm" 242
"trips.txt" "trip_short_name" "12pm-2:56pm" 243
route_long_name_contains_short_name WARNING 3

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"76652" 5 "Enfield-Canaan" "Enfield-Canaan Commuter"
"7135" 12 "Lot 20" "Lot 20 Shuttle"
"77383" 13 "Lot 9" "Lot 9 Shuttle"
route_short_name_too_long WARNING 2

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`.
"17098" 4 "Downtown Shuttle"
"76652" 5 "Enfield-Canaan"
stop_without_stop_time WARNING 7

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
24 "2388328" "Canaan SB"
168 "2388552" "Lot 9 - Stop 4"
169 "2388553" "North Entrance"
172 "2429131" "Lot 9 - Stop 1"
181 "2555696" "Bugbee @ Brookview"
182 "2555697" "Sterling Springs"
193 "4223992" "White River Junction, VT"
service_window_outside_feed_period INFO 6

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"c_71777_b_86317_d_31" "2026-03-09" "2026-12-01" 0 92
"c_71777_b_86317_d_32" "2026-03-14" "2026-11-28" 0 89
"c_69846_b_85573_d_31" "2025-08-27" "2026-06-12" 181 0
"c_71343_b_85015_d_32" "2025-05-24" "2026-03-07" 276 0
"c_69870_b_85575_d_31" "2025-08-27" "2026-06-12" 181 0
"c_71343_b_85015_d_31" "2025-05-19" "2026-03-06" 281 0
unknown_column INFO 34

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"areas.txt" "wkt" 2
"agency.txt" "tts_agency_name" 8
"calendar.txt" "service_name" 2
"calendar_dates.txt" "holiday_name" 3
"feed_info.txt" "feed_license" 5
"feed_info.txt" "feed_id" 10
"routes.txt" "min_headway_minutes" 11
"routes.txt" "eligibility_restricted" 12
"routes.txt" "tts_route_short_name" 15
"routes.txt" "tts_route_long_name" 16
"stop_times.txt" "start_service_area_id" 11
"stop_times.txt" "end_service_area_id" 12
"stop_times.txt" "start_service_area_radius" 13
"stop_times.txt" "end_service_area_radius" 14
"stop_times.txt" "mean_duration_factor" 21
"stop_times.txt" "mean_duration_offset" 22
"stop_times.txt" "safe_duration_factor" 23
"stop_times.txt" "safe_duration_offset" 24
"stop_times.txt" "tts_stop_headsign" 25
"stop_times.txt" "min_arrival_time" 26
"stop_times.txt" "max_departure_time" 27
"stops.txt" "position" 13
"stops.txt" "direction" 14
"trips.txt" "trip_type" 11
"trips.txt" "drt_max_travel_time" 12
"trips.txt" "drt_avg_travel_time" 13
"trips.txt" "drt_advance_book_min" 14
"trips.txt" "drt_pickup_message" 15
"trips.txt" "drt_drop_off_message" 16
"trips.txt" "continuous_pickup_message" 17
"trips.txt" "continuous_drop_off_message" 18
"trips.txt" "tts_trip_headsign" 19
"trips.txt" "tts_trip_short_name" 20
"location_groups.txt" "location_id" 2
unknown_file INFO 8

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"calendar_attributes.txt"
"directions.txt"
"farezone_attributes.txt"
"runcut.txt"
"stop_attributes.txt"
"timetable_stop_order.txt"
"timetables.txt"
"linked_datasets.txt"