GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T07:17:30Z,
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: 4
  • Shapes: 25
  • Stops: 106
  • Trips: 219

Specification Compliance report

37 notices reported (0 errors, 37 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 33

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.
"CALC_2240404" 18321 26729.0 1087 18320 26729.0 1086 0.6345720371002811
"CALC_2240386" 5118 37034.0 980 5117 37034.0 979 0.909170589463285
"CALC_2240389" 7258 1841.0 100 7257 1841.0 99 0.9484991561840919
"CALC_2240389" 7631 8268.0 473 7630 8268.0 472 0.7545794893657213
"CALC_2240400" 14980 12483.0 626 14979 12483.0 625 0.7757448211220379
"CALC_2240388" 6204 1841.0 100 6203 1841.0 99 0.9484991561840919
"CALC_2240388" 6577 8268.0 473 6576 8268.0 472 0.7545794893657213
"CALC_2240388" 7055 17866.0 951 7054 17866.0 950 0.011119510586109493
"CALC_2240388" 7056 17866.0 952 7055 17866.0 951 0.011119510586110454
"CALC_2240388" 7092 18288.0 988 7091 18288.0 987 0.011119510586109493
"CALC_2240387" 5250 1841.0 100 5249 1841.0 99 0.9484991561840919
"CALC_2240387" 5623 8268.0 473 5622 8268.0 472 0.7545794893657213
"CALC_2240387" 6001 15731.0 851 6000 15731.0 850 0.011119510586109493
"CALC_2240387" 6002 15731.0 852 6001 15731.0 851 0.011119510586110454
"CALC_2240387" 6016 15845.0 866 6015 15845.0 865 0.9550878324987546
"CALC_2240387" 6038 16153.0 888 6037 16153.0 887 0.011119510586109493
"CALC_2240393" 9881 25.0 4 9880 25.0 3 0.011119510586109493
"CALC_2240392" 9005 25.0 4 9004 25.0 3 0.011119510586109493
"CALC_2240392" 9764 17411.0 763 9763 17411.0 762 0.9484991561840919
"CALC_2240391" 8147 1841.0 100 8146 1841.0 99 0.9484991561840919
"CALC_2240391" 8520 8268.0 473 8519 8268.0 472 0.7545794893657213
"CALC_2240391" 8898 15731.0 851 8897 15731.0 850 0.011119510586109493
"CALC_2240391" 8899 15731.0 852 8898 15731.0 851 0.011119510586110454
"CALC_2240391" 8913 15845.0 866 8912 15845.0 865 0.9550878324987546
"CALC_2240391" 8935 16153.0 888 8934 16153.0 887 0.011119510586109493
"CALC_2240390" 7944 471.0 29 7943 471.0 28 0.011119510586109493
"CALC_2240390" 7945 471.0 30 7944 471.0 29 0.011119510586110454
"CALC_2240390" 7981 893.0 66 7980 893.0 65 0.011119510586109493
"CALC_2240397" 12294 1354.0 103 12293 1354.0 102 0.9484991561840919
"CALC_2240397" 12719 8824.0 528 12718 8824.0 527 0.7993844171780828
"CALC_2240396" 11397 25.0 4 11396 25.0 3 0.011119510586109493
"CALC_2240394" 10679 25.0 4 10678 25.0 3 0.011119510586109493
"CALC_2240398" 13049 1354.0 103 13048 1354.0 102 0.9484991561840919
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 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" "8 mai 1945" 2
"stops.txt" "stop_name" "8 mai 1945" 3