tacoluc-en-provence — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T15:25:24Z,
for the dataset file:///shared/tacoluc-en-provence_ba3857bd.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 1
  • Shapes: 8
  • Stops: 54
  • Trips: 20

Specification Compliance report

35 notices reported (0 errors, 35 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 32

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 greater than 0 but 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 (greater than 0 but 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.
"TA2" 2287 1545.0 79 2286 1545.0 78 0.05032056562542159
"TA2" 2485 4522.0 277 2484 4522.0 276 0.7099507564910115
"TA2" 2842 13220.0 634 2841 13220.0 633 0.10387930222615611
"TA2" 3609 33712.0 1401 3608 33712.0 1400 0.052512536773297695
"TA2" 3650 35092.0 1442 3649 35092.0 1441 0.2287653234909064
"TA2bis" 3935 1546.0 80 3934 1546.0 79 0.09779709754519028
"TA2bis" 3946 1697.0 91 3945 1697.0 90 0.5164230267420012
"TA2bis" 3967 2118.0 112 3966 2118.0 111 0.16236761494190163
"TA2bis" 4135 4663.0 280 4134 4663.0 279 0.7099507564910115
"TA2bis" 4492 13361.0 637 4491 13361.0 636 0.10387930222615611
"TA2bis" 5300 35233.0 1445 5299 35233.0 1444 0.2287653234909064
"TA1" 168 2672.0 167 167 2672.0 166 0.7099507564910115
"TA1" 544 11425.0 543 543 11425.0 542 0.052512536773297695
"TA1bis" 782 1546.0 80 781 1546.0 79 0.09779709754519028
"TA1bis" 793 1697.0 91 792 1697.0 90 0.5164230267420012
"TA1bis" 814 2118.0 112 813 2118.0 111 0.16236761494190163
"TA1bis" 982 4663.0 280 981 4663.0 279 0.7099507564910115
"TA1bis" 1358 13416.0 656 1357 13416.0 655 0.052512536773297695
"TA1bis" 1399 14796.0 697 1398 14796.0 696 0.2287653234909064
"TA3R" 8116 8752.0 421 8115 8752.0 420 0.052512536773297695
"TA3R" 8157 10132.0 462 8156 10132.0 461 0.2287653234909064
"TA3A" 7537 8573.0 392 7536 8573.0 391 0.052512536773297695
"TA3A" 7578 9953.0 433 7577 9953.0 432 0.2287653234909064
"TA1ter" 1867 7020.0 351 1866 7020.0 350 0.07318416301544196
"TA1ter" 1882 7175.0 366 1881 7175.0 365 0.23695426324541297
"TA1ter" 2050 11503.0 534 2049 11503.0 533 0.052512536773297695
"TA1ter" 2091 12883.0 575 2090 12883.0 574 0.2287653234909064
"TA2ter" 5585 1546.0 80 5584 1546.0 79 0.09779709754519028
"TA2ter" 5596 1697.0 91 5595 1697.0 90 0.5164230267420012
"TA2ter" 5617 2118.0 112 5616 2118.0 111 0.16236761494190163
"TA2ter" 6132 13439.0 627 6131 13439.0 626 0.10387930222615611
"TA2ter" 6940 35311.0 1435 6939 35311.0 1434 0.2287653234909064
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.
"agency.txt" "agency_name" "TRANSDEV VAR" 2
"routes.txt" "route_long_name" "LIGNE TACO" 2