GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T12:24:15Z,
for the dataset file:///shared/rideconnection-flex-or-us-ian_76a6c55a.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+rideconnection-or-us@trilliumtransit.com
Feed Language:
English
Feed Start Date:
2020-09-01
Feed End Date:
2021-01-01

Files included

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

Counts

  • Agencies: 8
  • Blocks: 7
  • Routes: 45
  • Shapes: 30
  • Stops: 106
  • Trips: 219

Specification Compliance report

362 notices reported (146 errors, 180 warnings, 36 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 144

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 144 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"t_990639_b_24785_tn_0" "2581555" 703 0.0 2 702 0.0 1
"t_968405_b_396_tn_0" "2579575" 602 0.0 2 601 0.0 1
"t_992013_b_17223_tn_0" "807448" 829 0.0 2 828 0.0 1
"t_951577_b_396_tn_0" "2578031" 556 0.0 2 555 0.0 1
"t_967976_b_396_tn_0" "2578230" 572 0.0 2 571 0.0 1
"t_990631_b_24785_tn_0" "2581543" 675 0.0 2 674 0.0 1
"t_949473_b_24418_tn_0" "2578002" 550 0.0 2 549 0.0 1
"t_981117_b_396_tn_0" "2577990" 610 0.0 2 609 0.0 1
"t_992048_b_17223_tn_0" "807448" 1179 0.0 2 1178 0.0 1
"t_992009_b_17223_tn_0" "807448" 789 0.0 2 788 0.0 1
"t_1246346_b_24787_tn_0" "2579389" 200 0.0 2 199 0.0 1
"t_992051_b_17223_tn_0" "807448" 1209 0.0 2 1208 0.0 1
"t_992052_b_17223_tn_0" "807448" 1219 0.0 2 1218 0.0 1
"t_968167_b_24787_tn_0" "2579389" 588 0.0 2 587 0.0 1
"t_949470_b_24403_tn_0" "2578004" 520 0.0 2 519 0.0 1
"t_992040_b_17223_tn_0" "807448" 1099 0.0 2 1098 0.0 1
"t_968168_b_396_tn_0" "2577989" 590 0.0 2 589 0.0 1
"t_992049_b_17223_tn_0" "807448" 1189 0.0 2 1188 0.0 1
"t_990632_b_24785_tn_0" "2581555" 680 0.0 2 679 0.0 1
"t_1008744_b_396_tn_0" "2583000" 3 0.0 2 2 0.0 1
"t_981116_b_396_tn_0" "2580740" 608 0.0 2 607 0.0 1
"t_992047_b_17223_tn_0" "807448" 1169 0.0 2 1168 0.0 1
"t_990644_b_24785_tn_0" "2581553" 730 0.0 2 729 0.0 1
"t_990642_b_24785_tn_0" "2581553" 715 0.0 2 714 0.0 1
"t_968163_b_24786_tn_0" "2579388" 580 0.0 2 579 0.0 1
"t_981213_b_24639_tn_0" "2580741" 639 0.0 2 638 0.0 1
"t_992023_b_17223_tn_0" "807448" 929 0.0 2 928 0.0 1
"t_992025_b_17223_tn_0" "807448" 949 0.0 2 948 0.0 1
"t_981213_b_24642_tn_0" "2580741" 654 0.0 2 653 0.0 1
"t_967997_b_396_tn_0" "2578041" 574 0.0 2 573 0.0 1
"t_992035_b_17223_tn_0" "807448" 1049 0.0 2 1048 0.0 1
"t_992037_b_17223_tn_0" "807448" 1069 0.0 2 1068 0.0 1
"t_1008745_b_396_tn_0" "2578042" 5 0.0 2 4 0.0 1
"t_968161_b_24788_tn_0" "2579387" 578 0.0 2 577 0.0 1
"t_990633_b_24785_tn_0" "2581556" 685 0.0 2 684 0.0 1
"t_992015_b_17223_tn_0" "807448" 849 0.0 2 848 0.0 1
"t_992042_b_17223_tn_0" "807448" 1119 0.0 2 1118 0.0 1
"t_1008746_b_396_tn_0" "2583001" 7 0.0 2 6 0.0 1
"t_982882_b_24785_tn_0" "2580761" 659 0.0 2 658 0.0 1
"t_968165_b_24787_tn_0" "2579389" 584 0.0 2 583 0.0 1
"t_982886_b_24785_tn_0" "2580761" 663 0.0 2 662 0.0 1
"t_992046_b_17223_tn_0" "807448" 1159 0.0 2 1158 0.0 1
"t_992011_b_17223_tn_0" "807448" 809 0.0 2 808 0.0 1
"t_949471_b_24406_tn_0" "2578002" 534 0.0 2 533 0.0 1
"t_984983_b_396_tn_0" "2580915" 671 0.0 2 670 0.0 1
"t_992053_b_17223_tn_0" "807448" 1229 0.0 2 1228 0.0 1
"t_949470_b_24406_tn_0" "2578004" 526 0.0 2 525 0.0 1
"t_992019_b_17223_tn_0" "807448" 889 0.0 2 888 0.0 1
"t_967975_b_396_tn_0" "2578004" 570 0.0 2 569 0.0 1
"t_949473_b_24414_tn_0" "2578002" 544 0.0 2 543 0.0 1
missing_required_column ERROR 2

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"rider_categories.txt" "is_default_fare_category"
"rider_categories.txt" "rider_category_name"
equal_shape_distance_same_coordinates WARNING 1

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"p_1098" 353 698.53719292 22 352 698.53719292 21
expired_calendar WARNING 33

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.
2 "c_285_b_396_d_8"
3 "c_285_b_396_d_31"
4 "c_285_b_396_d_30"
5 "c_285_b_396_d_28"
6 "c_285_b_396_d_27"
7 "c_285_b_396_d_2"
8 "c_285_b_396_d_14"
9 "c_285_b_396_d_1"
10 "c_19581_b_25966_d_31"
11 "c_18759_b_24788_d_31"
12 "c_18758_b_24787_d_31"
13 "c_18757_b_24786_d_31"
14 "c_18756_b_24785_d_8"
15 "c_18756_b_24785_d_4"
16 "c_18756_b_24785_d_31"
17 "c_18756_b_24785_d_2"
18 "c_18756_b_24785_d_16"
19 "c_18678_b_24642_d_127"
20 "c_18678_b_24641_d_127"
21 "c_18678_b_24640_d_127"
22 "c_18678_b_24639_d_127"
23 "c_18678_b_24638_d_127"
24 "c_18678_b_24637_d_127"
25 "c_18560_b_24418_d_31"
26 "c_18560_b_24416_d_31"
27 "c_18560_b_24415_d_31"
28 "c_18560_b_24414_d_31"
29 "c_18559_b_24406_d_31"
30 "c_18559_b_24405_d_31"
31 "c_18559_b_24404_d_31"
32 "c_18559_b_24403_d_31"
33 "c_15912_b_17223_d_96"
34 "c_15912_b_17223_d_31"
fast_travel_between_consecutive_stops WARNING 52

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 52 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.
185 "t_992027_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 970 3 "2335498" "Pinefarm Place" "16:56:00" 971 4 "20527" "Hilsboro Transit Center" "16:58:05"
185 "t_992027_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 971 4 "20527" "Hilsboro Transit Center" "16:58:05" 972 5 "807450" "Huffman St" "17:00:00"
184 "t_992026_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 960 3 "2335498" "Pinefarm Place" "16:28:00" 961 4 "20527" "Hilsboro Transit Center" "16:30:05"
184 "t_992026_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 961 4 "20527" "Hilsboro Transit Center" "16:30:05" 962 5 "807450" "Huffman St" "16:32:00"
187 "t_992030_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1000 3 "2335498" "Pinefarm Place" "18:05:00" 1001 4 "20527" "Hilsboro Transit Center" "18:07:05"
187 "t_992030_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1001 4 "20527" "Hilsboro Transit Center" "18:07:05" 1002 5 "807450" "Huffman St" "18:09:00"
190 "t_992033_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1030 3 "2335498" "Pinefarm Place" "19:46:00" 1031 4 "20527" "Hilsboro Transit Center" "19:48:05"
190 "t_992033_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1031 4 "20527" "Hilsboro Transit Center" "19:48:05" 1032 5 "807450" "Huffman St" "19:50:00"
178 "t_992020_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 900 3 "2335498" "Pinefarm Place" "13:48:00" 901 4 "20527" "Hilsboro Transit Center" "13:50:05"
178 "t_992020_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 901 4 "20527" "Hilsboro Transit Center" "13:50:05" 902 5 "807450" "Huffman St" "13:52:00"
176 "t_992035_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1050 3 "2335498" "Pinefarm Place" "21:18:00" 1051 4 "20527" "Hilsboro Transit Center" "21:20:05"
176 "t_992035_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1051 4 "20527" "Hilsboro Transit Center" "21:20:05" 1052 5 "807450" "Huffman St" "21:22:00"
191 "t_992034_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1040 3 "2335498" "Pinefarm Place" "20:33:00" 1041 4 "20527" "Hilsboro Transit Center" "20:35:05"
191 "t_992034_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1041 4 "20527" "Hilsboro Transit Center" "20:35:05" 1042 5 "807450" "Huffman St" "20:37:00"
206 "t_992048_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1180 3 "2335498" "Pinefarm Place" "15:58:00" 1181 4 "20527" "Hilsboro Transit Center" "16:00:05"
206 "t_992048_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1181 4 "20527" "Hilsboro Transit Center" "16:00:05" 1182 5 "807450" "Huffman St" "16:02:00"
189 "t_992032_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1020 3 "2335498" "Pinefarm Place" "19:05:00" 1021 4 "20527" "Hilsboro Transit Center" "19:07:05"
189 "t_992032_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1021 4 "20527" "Hilsboro Transit Center" "19:07:05" 1022 5 "807450" "Huffman St" "19:09:00"
201 "t_992054_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1240 3 "2335498" "Pinefarm Place" "21:13:00" 1241 4 "20527" "Hilsboro Transit Center" "21:15:05"
201 "t_992054_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1241 4 "20527" "Hilsboro Transit Center" "21:15:05" 1242 5 "807450" "Huffman St" "21:17:00"
208 "t_992051_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1210 3 "2335498" "Pinefarm Place" "18:33:00" 1211 4 "20527" "Hilsboro Transit Center" "18:35:05"
188 "t_992031_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1010 3 "2335498" "Pinefarm Place" "18:33:00" 1011 4 "20527" "Hilsboro Transit Center" "18:35:05"
208 "t_992051_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1211 4 "20527" "Hilsboro Transit Center" "18:35:05" 1212 5 "807450" "Huffman St" "18:37:00"
188 "t_992031_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1011 4 "20527" "Hilsboro Transit Center" "18:35:05" 1012 5 "807450" "Huffman St" "18:37:00"
203 "t_992045_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1150 3 "2335498" "Pinefarm Place" "13:43:00" 1151 4 "20527" "Hilsboro Transit Center" "13:45:05"
203 "t_992045_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1151 4 "20527" "Hilsboro Transit Center" "13:45:05" 1152 5 "807450" "Huffman St" "13:47:00"
207 "t_992049_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1190 3 "2335498" "Pinefarm Place" "17:03:00" 1191 4 "20527" "Hilsboro Transit Center" "17:05:05"
207 "t_992049_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1191 4 "20527" "Hilsboro Transit Center" "17:05:05" 1192 5 "807450" "Huffman St" "17:07:00"
181 "t_992023_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 930 3 "2335498" "Pinefarm Place" "15:18:00" 931 4 "20527" "Hilsboro Transit Center" "15:20:05"
181 "t_992023_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 931 4 "20527" "Hilsboro Transit Center" "15:20:05" 932 5 "807450" "Huffman St" "15:22:00"
180 "t_992022_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 920 3 "2335498" "Pinefarm Place" "14:33:00" 921 4 "20527" "Hilsboro Transit Center" "14:35:05"
180 "t_992022_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 921 4 "20527" "Hilsboro Transit Center" "14:35:05" 922 5 "807450" "Huffman St" "14:37:00"
182 "t_992024_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 940 3 "2335498" "Pinefarm Place" "15:38:00" 941 4 "20527" "Hilsboro Transit Center" "15:40:05"
182 "t_992024_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 941 4 "20527" "Hilsboro Transit Center" "15:40:05" 942 5 "807450" "Huffman St" "15:42:00"
183 "t_992025_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 950 3 "2335498" "Pinefarm Place" "16:02:00" 951 4 "20527" "Hilsboro Transit Center" "16:04:05"
183 "t_992025_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 951 4 "20527" "Hilsboro Transit Center" "16:04:05" 952 5 "807450" "Huffman St" "16:06:00"
179 "t_992021_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 910 3 "2335498" "Pinefarm Place" "14:05:00" 911 4 "20527" "Hilsboro Transit Center" "14:07:05"
179 "t_992021_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 911 4 "20527" "Hilsboro Transit Center" "14:07:05" 912 5 "807450" "Huffman St" "14:09:00"
186 "t_992029_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 990 3 "2335498" "Pinefarm Place" "17:48:00" 991 4 "20527" "Hilsboro Transit Center" "17:50:05"
202 "t_992050_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1200 3 "2335498" "Pinefarm Place" "17:48:00" 1201 4 "20527" "Hilsboro Transit Center" "17:50:05"
186 "t_992029_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 991 4 "20527" "Hilsboro Transit Center" "17:50:05" 992 5 "807450" "Huffman St" "17:52:00"
202 "t_992050_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1201 4 "20527" "Hilsboro Transit Center" "17:50:05" 1202 5 "807450" "Huffman St" "17:52:00"
177 "t_992028_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 980 3 "2335498" "Pinefarm Place" "17:13:00" 981 4 "20527" "Hilsboro Transit Center" "17:15:05"
177 "t_992028_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 981 4 "20527" "Hilsboro Transit Center" "17:15:05" 982 5 "807450" "Huffman St" "17:17:00"
210 "t_992053_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1230 3 "2335498" "Pinefarm Place" "20:13:00" 1231 4 "20527" "Hilsboro Transit Center" "20:15:05"
210 "t_992053_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1231 4 "20527" "Hilsboro Transit Center" "20:15:05" 1232 5 "807450" "Huffman St" "20:17:00"
209 "t_992052_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1220 3 "2335498" "Pinefarm Place" "19:18:00" 1221 4 "20527" "Hilsboro Transit Center" "19:20:05"
209 "t_992052_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1221 4 "20527" "Hilsboro Transit Center" "19:20:05" 1222 5 "807450" "Huffman St" "19:22:00"
204 "t_992046_b_17223_tn_0" "3226" 201.60286288001436 7.000099405556054 1160 3 "2335498" "Pinefarm Place" "14:18:00" 1161 4 "20527" "Hilsboro Transit Center" "14:20:05"
204 "t_992046_b_17223_tn_0" "3226" 199.53004816969977 6.373876538754298 1161 4 "20527" "Hilsboro Transit Center" "14:20:05" 1162 5 "807450" "Huffman St" "14:22:00"
fast_travel_between_far_stops WARNING 26

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

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.
185 "t_992027_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 970 3 "2335498" "Pinefarm Place" "16:56:00" 972 5 "807450" "Huffman St" "17:00:00"
184 "t_992026_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 960 3 "2335498" "Pinefarm Place" "16:28:00" 962 5 "807450" "Huffman St" "16:32:00"
187 "t_992030_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1000 3 "2335498" "Pinefarm Place" "18:05:00" 1002 5 "807450" "Huffman St" "18:09:00"
190 "t_992033_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1030 3 "2335498" "Pinefarm Place" "19:46:00" 1032 5 "807450" "Huffman St" "19:50:00"
178 "t_992020_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 900 3 "2335498" "Pinefarm Place" "13:48:00" 902 5 "807450" "Huffman St" "13:52:00"
176 "t_992035_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1050 3 "2335498" "Pinefarm Place" "21:18:00" 1052 5 "807450" "Huffman St" "21:22:00"
191 "t_992034_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1040 3 "2335498" "Pinefarm Place" "20:33:00" 1042 5 "807450" "Huffman St" "20:37:00"
206 "t_992048_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1180 3 "2335498" "Pinefarm Place" "15:58:00" 1182 5 "807450" "Huffman St" "16:02:00"
189 "t_992032_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1020 3 "2335498" "Pinefarm Place" "19:05:00" 1022 5 "807450" "Huffman St" "19:09:00"
201 "t_992054_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1240 3 "2335498" "Pinefarm Place" "21:13:00" 1242 5 "807450" "Huffman St" "21:17:00"
208 "t_992051_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1210 3 "2335498" "Pinefarm Place" "18:33:00" 1212 5 "807450" "Huffman St" "18:37:00"
188 "t_992031_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1010 3 "2335498" "Pinefarm Place" "18:33:00" 1012 5 "807450" "Huffman St" "18:37:00"
203 "t_992045_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1150 3 "2335498" "Pinefarm Place" "13:43:00" 1152 5 "807450" "Huffman St" "13:47:00"
207 "t_992049_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1190 3 "2335498" "Pinefarm Place" "17:03:00" 1192 5 "807450" "Huffman St" "17:07:00"
181 "t_992023_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 930 3 "2335498" "Pinefarm Place" "15:18:00" 932 5 "807450" "Huffman St" "15:22:00"
180 "t_992022_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 920 3 "2335498" "Pinefarm Place" "14:33:00" 922 5 "807450" "Huffman St" "14:37:00"
182 "t_992024_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 940 3 "2335498" "Pinefarm Place" "15:38:00" 942 5 "807450" "Huffman St" "15:42:00"
183 "t_992025_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 950 3 "2335498" "Pinefarm Place" "16:02:00" 952 5 "807450" "Huffman St" "16:06:00"
179 "t_992021_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 910 3 "2335498" "Pinefarm Place" "14:05:00" 912 5 "807450" "Huffman St" "14:09:00"
186 "t_992029_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 990 3 "2335498" "Pinefarm Place" "17:48:00" 992 5 "807450" "Huffman St" "17:52:00"
202 "t_992050_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1200 3 "2335498" "Pinefarm Place" "17:48:00" 1202 5 "807450" "Huffman St" "17:52:00"
177 "t_992028_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 980 3 "2335498" "Pinefarm Place" "17:13:00" 982 5 "807450" "Huffman St" "17:17:00"
210 "t_992053_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1230 3 "2335498" "Pinefarm Place" "20:13:00" 1232 5 "807450" "Huffman St" "20:17:00"
209 "t_992052_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1220 3 "2335498" "Pinefarm Place" "19:18:00" 1222 5 "807450" "Huffman St" "19:22:00"
204 "t_992046_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1160 3 "2335498" "Pinefarm Place" "14:18:00" 1162 5 "807450" "Huffman St" "14:22:00"
205 "t_992047_b_17223_tn_0" "3226" 160.48771133172423 13.373975944310352 1170 3 "2335498" "Pinefarm Place" "15:03:00" 1172 5 "807450" "Huffman St" "15:07:00"
feed_expiration_date7_days WARNING 1

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260504" "20210101" "20260511"
mixed_case_recommended_field WARNING 2

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.
"stops.txt" "stop_name" "19th & B" 79
"stops.txt" "stop_name" "DPI/JAE" 93
same_route_and_agency_url WARNING 2

same_route_and_agency_url

Same routes.route_url and agency.agency_url.

A route should not have the same routes.route_url as a record from agency.txt.

You can see more about this notice here.

routeCsvRowNumber (?) The row number of the faulty record from `routes.txt`. routeId (?) The faulty record's id. agencyName (?) The faulty record's referenced agency name. routeUrl (?) The duplicate URL value agencyCsvRowNumber (?) The row number of the faulty record from `agency.txt`.
4 "15552" "Asian Health and Service Center" "https://www.ahscpdx.org/" 3
44 "15292" "Transportation Reaching People" "https://www.clackamas.us/socialservices/transportation.html" 8
stop_too_far_from_shape WARNING 13

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
140 "p_899040" "t_990645_b_24785_tn_0" 741 "2581554" "Winco (1222 NE 102nd)" [45.53063399999999,-122.559386] 205.3922849030661
139 "p_899041" "t_990646_b_24785_tn_0" 747 "2581564" "Laurelhurst Village" [45.526193,-122.606934] 2195.8295379878264
60 "p_898871" "t_981117_b_396_tn_0" 619 "2577988" "Pacific Tower Apartments (NW 4th Avenue)" [45.530317,-122.68026099999999] 663.7023013603874
125 "p_899026" "t_990631_b_24785_tn_0" 678 "2581556" "Winco (11250 SE 82nd)" [45.458545,-122.58019300000001] 1695.10235713908
130 "p_899027" "t_990632_b_24785_tn_0" 683 "2581544" "Westmoreland Union Manor" [45.48808206585813,-122.62846998106995] 1631.8659866745622
61 "p_898534" "t_968168_b_396_tn_0" 595 "2577994" "Fred Meyer (W Burnside Street)" [45.525404,-122.69042500000003] 305.06040190082905
58 "p_898536" "t_968169_b_396_tn_0" 598 "2577994" "Fred Meyer (W Burnside Street)" [45.517401,-122.684832] 896.2240790107808
129 "p_899030" "t_990635_b_24785_tn_0" 692 "2581554" "Winco (1222 NE 102nd)" [45.53063399999999,-122.559386] 205.3922849030661
126 "p_899031" "t_990636_b_24785_tn_0" 697 "2581546" "Weidler Commons" [45.524401,-122.64702200000004] 1079.520457304787
137 "p_899036" "t_990641_b_24785_tn_0" 713 "2581554" "Winco (1222 NE 102nd)" [45.53063399999999,-122.559386] 205.3922849030661
136 "p_899037" "t_990642_b_24785_tn_0" 721 "2581559" "Hollywood East" [45.53370854116963,-122.61800879983166] 105.31079103372407
135 "p_899038" "t_990643_b_24785_tn_0" 728 "2581554" "Winco (1222 NE 102nd)" [45.53063399999999,-122.559386] 205.3922849030661
138 "p_899039" "t_990644_b_24785_tn_0" 735 "2581559" "Hollywood East" [45.526193,-122.606934] 1229.3497608151406
stop_too_far_from_shape_using_user_distance WARNING 17

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
140 "p_899040" "t_990645_b_24785_tn_0" 738 "2581562" "Emilie House" [45.522974,-122.60281000000002] 480.9743182510552
140 "p_899040" "t_990645_b_24785_tn_0" 739 "2581560" "Center Commons" [45.52619299999998,-122.60693399999997] 314.08162036629875
140 "p_899040" "t_990645_b_24785_tn_0" 740 "2581553" "Fred Meyer (1111 NE 102nd)" [45.527588999999985,-122.60342900000003] 3447.50101060184
60 "p_898871" "t_981117_b_396_tn_0" 611 "2577994" "Fred Meyer (W Burnside Street)" [45.53129008986567,-122.69321333681701] 898.0627951439736
60 "p_898871" "t_981117_b_396_tn_0" 612 "2577990" "Marshall Union Manor (NW Northrup Street)" [45.523219000000054,-122.69279300000002] 898.062795140327
60 "p_898871" "t_981117_b_396_tn_0" 613 "2577991" "Gallagher Plaza (NW Kearney Street)" [45.53129008986562,-122.69321333681708] 309.8569912469629
60 "p_898871" "t_981117_b_396_tn_0" 614 "2577992" "Medallion Apartments (NW Johnson Street)" [45.52908099999998,-122.69563799999987] 292.95278804964653
60 "p_898871" "t_981117_b_396_tn_0" 615 "2577993" "Northwest Towers (NW 19th Avenue)" [45.52857599999992,-122.69194699999994] 372.1054113616856
60 "p_898871" "t_981117_b_396_tn_0" 618 "2577989" "Safeway - Pearl (NW Lovejoy Street)" [45.53129008986567,-122.69321333681683] 685.1451528496276
125 "p_899026" "t_990631_b_24785_tn_0" 676 "2581544" "Westmoreland Union Manor" [45.494188999999984,-122.652953] 2084.2606376325784
125 "p_899026" "t_990631_b_24785_tn_0" 677 "2581555" "Fred Meyer (8955 SE 82nd)" [45.477019999999996,-122.64222499999997] 5255.536472302364
61 "p_898534" "t_968168_b_396_tn_0" 591 "2577990" "Marshall Union Manor (NW Northrup Street)" [45.53012600000001,-122.68457600000004] 685.145152860158
61 "p_898534" "t_968168_b_396_tn_0" 592 "2577991" "Gallagher Plaza (NW Kearney Street)" [45.531290089865685,-122.69321333681704] 309.85699125577247
61 "p_898534" "t_968168_b_396_tn_0" 593 "2577992" "Medallion Apartments (NW Johnson Street)" [45.52908099999999,-122.695638] 292.9527880592226
61 "p_898534" "t_968168_b_396_tn_0" 594 "2577993" "Northwest Towers (NW 19th Avenue)" [45.528575999999994,-122.69194699999998] 372.1054113705147
129 "p_899030" "t_990635_b_24785_tn_0" 690 "2581549" "Hawthorne East" [45.524401,-122.64702200000004] 1338.718962926282
129 "p_899030" "t_990635_b_24785_tn_0" 691 "2581553" "Fred Meyer (1111 NE 102nd)" [45.51248800000001,-122.64950499999996] 7305.161757102278
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.
7 "20837" "El Dorado Mobile Villas"
15 "2577899" "Deer Creek Elementary School"
16 "2577973" "SW King Charles Avenue and SW Queen Mary Avenue"
32 "2578003" "Safeway (82nd Drive, Gladstone)"
35 "2578007" "The Old Spaghetti Factory"
36 "2578008" "La Provence Boulangerie & Patisserie"
48 "2580742" "Walmart (Tigard)"
stops_match_shape_out_of_order WARNING 13

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
139 "p_899041" "t_990646_b_24785_tn_0" 744 "2581560" "Center Commons" [45.530634000000006,-122.55938599999995] 743 "2581553" "Fred Meyer (1111 NE 102nd)" [45.53063399999999,-122.559386]
161 "p_899047" "t_992007_b_17223_tn_0" 770 "807452" "Orenco Station" [45.56360000000001,-122.91853699999997] 769 "807448" "Pinefarm Place" [45.56360000000001,-122.918537]
59 "p_898872" "t_981125_b_396_tn_0" 627 "2577999" "Park Tower (SW Salmon Street)" [45.517617,-122.68138400000001] 626 "2577998" "1200 Building (SW 12th Avenue)" [45.517095,-122.685837]
59 "p_898872" "t_981125_b_396_tn_0" 622 "2577994" "Fred Meyer (W Burnside Street)" [45.517617,-122.68138400000002] 621 "2577999" "Park Tower (SW Salmon Street)" [45.517617,-122.68138400000001]
176 "p_899048" "t_992035_b_17223_tn_0" 1050 "2335498" "Pinefarm Place" [45.56360000000001,-122.91853699999997] 1049 "807448" "Pinefarm Place" [45.56360000000001,-122.918537]
130 "p_899027" "t_990632_b_24785_tn_0" 681 "2581542" "Oddfellows/Kenilworth Park Plaza" [45.458545,-122.58019300000004] 680 "2581555" "Fred Meyer (8955 SE 82nd)" [45.458545,-122.58019300000001]
111 "p_898874" "t_981213_b_24637_tn_0" 632 "2577995" "Station Place Tower (NW 9th Avenue)" [45.530317,-122.68026099999999] 631 "2580743" "Costco" [45.435213,-122.758244]
111 "p_898874" "t_981213_b_24637_tn_0" 630 "2578005" "Walmart (SE McLoughlin Boulevard, Milwaukie)" [45.43493500000003,-122.75351899999997] 629 "2580741" "Winco (Tigard)" [45.434934999999996,-122.753519]
126 "p_899031" "t_990636_b_24785_tn_0" 695 "2581549" "Hawthorne East" [45.530634000000006,-122.55938599999995] 694 "2581553" "Fred Meyer (1111 NE 102nd)" [45.53063399999999,-122.559386]
137 "p_899036" "t_990641_b_24785_tn_0" 708 "2581560" "Center Commons" [45.534520999999984,-122.61731400000008] 707 "2581559" "Hollywood East" [45.53452099999999,-122.617314]
136 "p_899037" "t_990642_b_24785_tn_0" 716 "2581557" "Fred Meyer (6615 NE Glisan)" [45.530634000000006,-122.55938599999995] 715 "2581553" "Fred Meyer (1111 NE 102nd)" [45.53063399999999,-122.559386]
135 "p_899038" "t_990643_b_24785_tn_0" 724 "2581561" "Providence House" [45.52758900000003,-122.60342900000005] 723 "2581560" "Center Commons" [45.527589,-122.603429]
138 "p_899039" "t_990644_b_24785_tn_0" 731 "2581563" "The Heights at Columbia Knoll" [45.530634000000006,-122.55938599999995] 730 "2581553" "Fred Meyer (1111 NE 102nd)" [45.53063399999999,-122.559386]
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260504" "20200101" "20201231"
unusable_trip WARNING 6

unusable_trip

Trips must have more than one stop to be usable.

A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id.
55 "t_946297_b_396_tn_0"
56 "t_947687_b_396_tn_0"
57 "t_947752_b_396_tn_0"
91 "t_956744_b_396_tn_0"
92 "t_956745_b_396_tn_0"
100 "t_968162_b_24788_tn_0"
unused_trip WARNING 6

unused_trip

Trip is not be used in stop_times.txt

Trips should be referred to at least once in stop_times.txt.

You can see more about this notice here.

tripId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"t_946297_b_396_tn_0" 55
"t_947687_b_396_tn_0" 56
"t_947752_b_396_tn_0" 57
"t_956744_b_396_tn_0" 91
"t_956745_b_396_tn_0" 92
"t_968162_b_24788_tn_0" 100
unknown_column INFO 26

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.
"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" "pickup_area_id" 17
"stop_times.txt" "drop_off_area_id" 18
"stop_times.txt" "pickup_service_area_radius" 19
"stop_times.txt" "drop_off_service_area_radius" 20
"areas.txt" "wkt" 2
"calendar_dates.txt" "holiday_name" 3
"calendar.txt" "service_name" 2
"rider_categories.txt" "rider_category_description" 2
"routes.txt" "min_headway_minutes" 11
"routes.txt" "eligibility_restricted" 12
"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
"feed_info.txt" "feed_license" 5
"feed_info.txt" "feed_id" 10
unknown_file INFO 10

unknown_file

A file is unknown.

You can see more about this notice here.

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