GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T10:39:17Z,
for the dataset file:///shared/citcrc_79332498.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
CITCRC
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-04-16
Feed End Date:
2026-06-21

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 24
  • Shapes: 64
  • Stops: 420
  • Trips: 1108

Specification Compliance report

3894 notices reported (0 errors, 3893 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 1276

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.

Only the first 50 of 1276 affected records are displayed below.

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`.
"4870022" 13538 0.5622 20001 13537 0.5622 10006
"4870022" 13556 1.346 30001 13555 1.346 20018
"4870022" 13567 2.2163 40001 13566 2.2163 30011
"4870022" 13571 2.6639 50001 13570 2.6639 40004
"4870022" 13575 3.0599 60001 13574 3.0599 50004
"4870023" 14015 14.4859 20001 14014 14.4859 10235
"4870023" 14019 14.8817 30001 14018 14.8817 20004
"4870023" 14022 15.2789 40001 14021 15.2789 30003
"4870023" 14033 16.139 50001 14032 16.139 40011
"4870023" 14052 16.9645 60001 14051 16.9645 50019
"4870026" 14543 14.465 20001 14542 14.465 10235
"4870026" 14547 14.8608 30001 14546 14.8608 20004
"4870026" 14550 15.258 40001 14549 15.258 30003
"4870026" 14561 16.1181 50001 14560 16.1181 40011
"4870026" 14580 16.9436 60001 14579 16.9436 50019
"4870025" 14066 0.5622 20001 14065 0.5622 10006
"4870025" 14084 1.346 30001 14083 1.346 20018
"4870025" 14095 2.2163 40001 14094 2.2163 30011
"4870025" 14099 2.6639 50001 14098 2.6639 40004
"4870025" 14103 3.0599 60001 14102 3.0599 50004
"1050085" 1709 0.9273 20001 1708 0.9273 10049
"1050085" 1728 1.3531 30001 1727 1.3531 20019
"1050085" 1738 1.5351 40001 1737 1.5351 30010
"1050085" 1746 1.832 50001 1745 1.832 40008
"1050085" 1752 2.0481 60001 1751 2.0481 50006
"1050085" 1759 2.4498 70001 1758 2.4498 60007
"1050085" 1763 2.5991 80001 1762 2.5991 70004
"1050085" 1772 2.8611 90001 1771 2.8611 80009
"1050085" 1789 3.1289 100001 1788 3.1289 90017
"1050085" 1802 3.5387 110001 1801 3.5387 100013
"1050085" 1830 3.9846 120001 1829 3.9846 110028
"1050085" 1838 4.1615 130001 1837 4.1615 120008
"1050085" 1844 4.447 140001 1843 4.447 130006
"1050085" 1850 4.6977 150001 1849 4.6977 140006
"1050085" 1855 4.9169 160001 1854 4.9169 150005
"1050085" 1859 5.0936 170001 1858 5.0936 160004
"1050085" 1866 5.2595 180001 1865 5.2595 170007
"1050085" 1882 5.8202 190001 1881 5.8202 180016
"1050085" 1887 5.9498 200001 1886 5.9498 190005
"1050085" 1902 6.2125 210001 1901 6.2125 200015
"1050085" 1921 6.5695 220001 1920 6.5695 210019
"1050085" 1929 6.8519 230001 1928 6.8519 220008
"1050085" 1936 7.1235 240001 1935 7.1235 230007
"1050085" 1942 7.4622 250001 1941 7.4622 240006
"1050085" 1946 7.703 260001 1945 7.703 250004
"1050085" 1949 7.8929 270001 1948 7.8929 260003
"1050085" 1954 8.0486 280001 1953 8.0486 270005
"1050085" 1963 8.2777 290001 1962 8.2777 280009
"1050085" 1993 8.7639 300001 1992 8.7639 290030
"1050085" 2074 13.8898 310001 2073 13.8898 300081
expired_calendar WARNING 1

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 "CRC-H26-GTFS_CRC-Semaine-01"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 4

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_version"
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
non_ascii_or_non_printable_char WARNING 2604

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 2604 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"calendar.txt" 4 "service_id" "CRC-H26-GTFS_CRC-Fête-1-01"
"calendar_dates.txt" 3 "service_id" "CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6700 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6701 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6702 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6703 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6704 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6705 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6706 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6707 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6708 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6709 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6710 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6711 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6712 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6713 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6714 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6715 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6716 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6717 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6718 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6719 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6720 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 6721 "trip_id" "9492506-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12430 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12431 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12432 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12433 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12434 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12435 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12436 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12437 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12438 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12439 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12440 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12441 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12442 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12443 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12444 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12445 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12446 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12447 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12448 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12449 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12450 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12451 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12452 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12453 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 12454 "trip_id" "10702085-CRC-H26-GTFS_CRC-Fête-1-01"
"stop_times.txt" 15280 "trip_id" "10708666-CRC-H26-GTFS_CRC-Fête-1-01"
unexpected_enum_value WARNING 7

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 8 "route_type" 1501
"routes.txt" 9 "route_type" 1501
"routes.txt" 10 "route_type" 1501
"routes.txt" 11 "route_type" 1501
"routes.txt" 12 "route_type" 1501
"routes.txt" 13 "route_type" 1501
"routes.txt" 14 "route_type" 1501
unknown_column INFO 1

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" "platform_track" 10