GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T07:49:48Z,
for the dataset file:///tmp/1_in.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 5
  • Shapes: 10
  • Stops: 76
  • Trips: 58

Specification Compliance report

2996 notices reported (2989 errors, 7 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 2989

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

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 different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 2989 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1103$iti_efb94f58-9527-457e-b0cd-d762" 373 0.0 1 372 0.0 0 9.374819716837663
"1103$iti_efb94f58-9527-457e-b0cd-d762" 374 0.0 2 373 0.0 1 11.39367679130027
"1103$iti_efb94f58-9527-457e-b0cd-d762" 375 0.0 3 374 0.0 2 9.997676734451682
"1103$iti_efb94f58-9527-457e-b0cd-d762" 376 0.0 4 375 0.0 3 5.355375022918899
"1103$iti_efb94f58-9527-457e-b0cd-d762" 377 0.0 5 376 0.0 4 10.60041424919956
"1103$iti_efb94f58-9527-457e-b0cd-d762" 378 0.0 6 377 0.0 5 15.26446390755466
"1103$iti_efb94f58-9527-457e-b0cd-d762" 379 0.0 7 378 0.0 6 12.525053369066102
"1103$iti_efb94f58-9527-457e-b0cd-d762" 380 0.0 8 379 0.0 7 5.145687441630143
"1103$iti_efb94f58-9527-457e-b0cd-d762" 381 0.0 9 380 0.0 8 3.8186575195557593
"1103$iti_efb94f58-9527-457e-b0cd-d762" 382 0.0 10 381 0.0 9 4.776765566161627
"1103$iti_efb94f58-9527-457e-b0cd-d762" 383 0.0 11 382 0.0 10 3.818565138292609
"1103$iti_efb94f58-9527-457e-b0cd-d762" 384 0.0 12 383 0.0 11 19.148794078203842
"1103$iti_efb94f58-9527-457e-b0cd-d762" 385 0.0 13 384 0.0 12 16.573390535984913
"1103$iti_efb94f58-9527-457e-b0cd-d762" 386 0.0 14 385 0.0 13 22.096462959511925
"1103$iti_efb94f58-9527-457e-b0cd-d762" 387 0.0 15 386 0.0 14 39.95837917647704
"1103$iti_efb94f58-9527-457e-b0cd-d762" 388 0.0 16 387 0.0 15 26.09021527015613
"1103$iti_efb94f58-9527-457e-b0cd-d762" 389 0.0 17 388 0.0 16 12.026347945843177
"1103$iti_efb94f58-9527-457e-b0cd-d762" 390 0.0 18 389 0.0 17 122.97345117255048
"1103$iti_efb94f58-9527-457e-b0cd-d762" 391 0.0 19 390 0.0 18 51.65003541265584
"1103$iti_efb94f58-9527-457e-b0cd-d762" 392 0.0 20 391 0.0 19 41.97411818023451
"1103$iti_efb94f58-9527-457e-b0cd-d762" 393 0.0 21 392 0.0 20 43.901880101943256
"1103$iti_efb94f58-9527-457e-b0cd-d762" 394 0.0 22 393 0.0 21 17.22675740238003
"1103$iti_efb94f58-9527-457e-b0cd-d762" 395 0.0 23 394 0.0 22 10.192695440827848
"1103$iti_efb94f58-9527-457e-b0cd-d762" 396 0.0 24 395 0.0 23 18.280331227997
"1103$iti_efb94f58-9527-457e-b0cd-d762" 397 0.0 25 396 0.0 24 6.523200547607598
"1103$iti_efb94f58-9527-457e-b0cd-d762" 398 0.0 26 397 0.0 25 24.020429987229193
"1103$iti_efb94f58-9527-457e-b0cd-d762" 399 0.0 27 398 0.0 26 12.789847650819281
"1103$iti_efb94f58-9527-457e-b0cd-d762" 400 0.0 28 399 0.0 27 12.801056920184909
"1103$iti_efb94f58-9527-457e-b0cd-d762" 401 0.0 29 400 0.0 28 35.81083319623692
"1103$iti_efb94f58-9527-457e-b0cd-d762" 402 0.0 30 401 0.0 29 93.47537091123164
"1103$iti_efb94f58-9527-457e-b0cd-d762" 403 0.0 31 402 0.0 30 16.30198995096743
"1103$iti_efb94f58-9527-457e-b0cd-d762" 404 0.0 32 403 0.0 31 36.87206852925538
"1103$iti_efb94f58-9527-457e-b0cd-d762" 405 0.0 33 404 0.0 32 28.543348567906925
"1103$iti_efb94f58-9527-457e-b0cd-d762" 406 0.0 34 405 0.0 33 4.563619424608454
"1103$iti_efb94f58-9527-457e-b0cd-d762" 407 0.0 35 406 0.0 34 39.1983556094393
"1103$iti_efb94f58-9527-457e-b0cd-d762" 408 0.0 36 407 0.0 35 31.987902093286962
"1103$iti_efb94f58-9527-457e-b0cd-d762" 409 0.0 37 408 0.0 36 6.194455276545034
"1103$iti_efb94f58-9527-457e-b0cd-d762" 410 0.0 38 409 0.0 37 5.076491480349964
"1103$iti_efb94f58-9527-457e-b0cd-d762" 411 0.0 39 410 0.0 38 4.5635950663669105
"1103$iti_efb94f58-9527-457e-b0cd-d762" 412 0.0 40 411 0.0 39 17.51109619161963
"1103$iti_efb94f58-9527-457e-b0cd-d762" 413 0.0 41 412 0.0 40 55.262405760989566
"1103$iti_efb94f58-9527-457e-b0cd-d762" 414 0.0 42 413 0.0 41 34.68073760791356
"1103$iti_efb94f58-9527-457e-b0cd-d762" 415 0.0 43 414 0.0 42 80.64303913262191
"1103$iti_efb94f58-9527-457e-b0cd-d762" 416 0.0 44 415 0.0 43 85.57183436072256
"1103$iti_efb94f58-9527-457e-b0cd-d762" 417 0.0 45 416 0.0 44 58.203321834078864
"1103$iti_efb94f58-9527-457e-b0cd-d762" 418 0.0 46 417 0.0 45 36.49314428307607
"1103$iti_efb94f58-9527-457e-b0cd-d762" 419 0.0 47 418 0.0 46 53.12686424915615
"1103$iti_efb94f58-9527-457e-b0cd-d762" 420 0.0 48 419 0.0 47 7.124098822097071
"1103$iti_efb94f58-9527-457e-b0cd-d762" 421 0.0 49 420 0.0 48 28.477232795502022
"1103$iti_efb94f58-9527-457e-b0cd-d762" 422 0.0 50 421 0.0 49 19.17422911308258
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is less than 1.11m.

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 small difference of coordinates (less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1103$iti_efb94f58-9527-457e-b0cd-d762" 657 0.0 285 656 0.0 284 0.7282926566380404
"1103$iti_efb94f58-9527-457e-b0cd-d762" 669 0.0 297 668 0.0 296 0.7282926566380404
"1103$iti_c2067301-d1e2-4b4e-81d4-736c" 1797 0.0 253 1796 0.0 252 0.7282926566380404
"1103$iti_c2067301-d1e2-4b4e-81d4-736c" 1816 0.0 272 1815 0.0 271 0.7282926566380404
missing_recommended_column WARNING 1

missing_recommended_column

A recommended 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.
"stop_times.txt" "timepoint"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 1

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.
"routes.txt" "route_long_name" "ORRY LA VILLE - LAMORLAYE" 3