GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-16T17:10:40Z,
for the dataset file:///shared/mat.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
MAT
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2024-07-09
Feed End Date:
2024-08-31

Files included

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

Counts

  • Agencies: 1
  • Blocks: 103
  • Routes: 18
  • Shapes: 45
  • Stops: 464
  • Trips: 869

Specification Compliance report

2848 notices reported (1 errors, 2845 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 1

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.

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.
"51668" 57 0.991 30001 56 0.991 20014 1.9953059866384406
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 78

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.

Only the first 50 of 78 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.
"13140025" 20170 0.96 20002 20169 0.96 20001 0.22239020252697528
"13140025" 21221 32.435 250004 21220 32.435 250003 0.18438799678526893
"13140025" 21451 40.401 320001 21450 40.401 310013 0.18434184920396307
"13140025" 21465 40.515 320015 21464 40.515 320014 0.7575762357886355
"13140025" 21517 43.252 350001 21516 43.252 340021 0.18429817478934404
"110587" 10618 0.045 10004 10617 0.045 10003 0.18438799678526893
"101052" 6774 0.939 20002 6773 0.939 20001 0.22239020252697528
"42186" 30355 7.041 160035 30354 7.041 160034 0.7430063500963896
"42186" 30501 9.495 240002 30500 9.495 240001 0.22239020252697528
"90622" 3195 4.356 50009 3194 4.356 50008 0.679610489152727
"90622" 3328 9.08 90001 3327 9.08 80045 0.07340029184415431
"90622" 3361 10.287 100001 3360 10.287 90033 0.11119510090982554
"101055" 7513 0.939 20002 7512 0.939 20001 0.22239020252697528
"101055" 7865 8.117 60073 7864 8.117 60072 0.8074268564222592
"90621" 2156 0.027 10007 2155 0.027 10006 0.5330776937441742
"90621" 2159 0.033 10010 2158 0.033 10009 0.4293801989509658
"90621" 2343 5.425 120001 2342 5.425 110010 0.18418666054290872
"90621" 2576 13.318 180001 2575 13.318 170015 0.14680918171566146
"90621" 2718 17.829 210001 2717 17.829 200030 0.18415956011446036
"90621" 2844 22.503 240038 2843 22.503 240037 0.679610489152727
"42188" 31030 2.397 40039 31029 2.397 40038 0.1843355775074166
"42188" 31815 16.748 380001 31814 16.748 370010 0.18418666054290872
"61668" 31973 2.31 60016 31972 2.31 60015 0.5258964575585662
"61669" 32334 0.027 10007 32333 0.027 10006 0.5330776937441742
"61669" 32337 0.033 10010 32336 0.033 10009 0.4293801989509658
"61669" 32510 4.754 120001 32509 4.754 110011 0.07345043930212637
"61669" 32702 9.422 250001 32701 9.422 240010 0.18418666054290872
"10120019" 8460 0.939 20002 8459 0.939 20001 0.22239020252697528
"11946" 3938 0.885 20002 3937 0.885 20001 0.8884882792574459
"11946" 4054 2.85 70002 4053 2.85 70001 0.22239020252697528
"140451" 21805 3.993 80001 21804 3.993 70042 0.07345043930212637
"140451" 22038 10.567 140016 22037 10.567 140015 0.11119510090982554
"140451" 22207 16.913 220001 22206 16.913 210007 0.07350600363150031
"140451" 22232 17.851 230006 22231 17.851 230005 0.7783657077834272
"51760" 1266 2.955 50059 1265 2.955 50058 0.36455858112564704
"51760" 2087 22.399 350042 2086 22.399 350041 0.11119510161714974
"140452" 22470 0.045 10004 22469 0.045 10003 0.18438799678526893
"140452" 22493 0.361 10027 22492 0.361 10026 0.9434355395075723
"140452" 22696 8.011 60001 22695 8.011 50013 0.18434184920396307
"140452" 22762 10.862 90001 22761 10.862 80021 0.18429817478934404
"11947" 4520 0.605 10073 4519 0.605 10072 0.36455858112564704
"150053" 24018 20.343 110001 24017 20.343 100013 0.18434184920396307
"150053" 24181 26.953 130119 24180 26.953 130118 0.11119510090982554
"150053" 24564 36.18 240009 24563 36.18 240008 0.679610489152727
"51668" 122 2.018 40043 121 2.018 40042 0.11119510161714974
"2Exp0029" 27158 0.885 20002 27157 0.885 20001 0.8884882792574459
"2Exp0028" 27441 2.035 40038 27440 2.035 40037 0.8081047750489474
"31955" 28146 5.358 150002 28145 5.358 150001 0.22239020252697528
"120769" 17171 20.959 90099 17170 20.959 90098 0.36455858112564704
"120769" 17215 21.925 100036 17214 21.925 100035 0.36455858112564704
equal_shape_distance_same_coordinates WARNING 958

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 958 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`.
"13140025" 20154 0.534 10050 20153 0.534 10049
"13140025" 20169 0.96 20001 20168 0.96 10064
"13140025" 20191 1.184 30001 20190 1.184 20022
"13140025" 20251 2.651 40001 20250 2.651 30060
"13140025" 20280 3.545 50001 20279 3.545 40029
"13140025" 20322 4.062 60001 20321 4.062 50042
"13140025" 20374 4.841 70001 20373 4.841 60052
"13140025" 20392 5.006 80001 20391 5.006 70018
"13140025" 20421 5.479 90001 20420 5.479 80029
"13140025" 20552 10.245 100001 20551 10.245 90131
"13140025" 20591 10.857 110001 20590 10.857 100039
"13140025" 20623 11.416 120001 20622 11.416 110032
"13140025" 20707 14.44 130001 20706 14.44 120084
"13140025" 20743 15.447 140001 20742 15.447 130036
"13140025" 20766 15.939 150001 20765 15.939 140023
"13140025" 20920 20.84 160001 20919 20.84 150154
"13140025" 21000 23.895 170001 20999 23.895 160080
"13140025" 21020 24.327 180001 21019 24.327 170020
"13140025" 21091 27.135 190001 21090 27.135 180071
"13140025" 21136 29.048 200001 21135 29.048 190045
"13140025" 21143 29.517 210001 21142 29.517 200007
"13140025" 21151 29.99 220001 21150 29.99 210008
"13140025" 21155 30.417 230001 21154 30.417 220004
"13140025" 21193 31.616 240001 21192 31.616 230038
"13140025" 21218 32.39 250001 21217 32.39 240025
"13140025" 21255 33.091 260001 21254 33.091 250037
"13140025" 21275 33.796 270001 21274 33.796 260020
"13140025" 21360 36.258 280001 21359 36.258 270085
"13140025" 21379 37.163 290001 21378 37.163 280019
"13140025" 21410 38.092 300001 21409 38.092 290031
"13140025" 21438 39.701 310001 21437 39.701 300028
"13140025" 21485 41.395 330001 21484 41.395 320034
"13140025" 21496 41.887 340001 21495 41.887 330011
"13140025" 21536 44.497 360001 21535 44.497 350019
"13140025" 21567 45.678 370001 21566 45.678 360031
"13140025" 21583 46.206 380001 21582 46.206 370016
"110587" 10657 0.946 20001 10656 0.946 10042
"110587" 10695 2.068 30001 10694 2.068 20038
"110587" 10700 2.553 40001 10699 2.553 30005
"110587" 10708 3.022 50001 10707 3.022 40008
"110587" 10714 3.485 60001 10713 3.485 50006
"110587" 10760 5.409 70001 10759 5.409 60046
"110587" 10833 8.24 80001 10832 8.24 70073
"110587" 10852 8.676 90001 10851 8.676 80019
"110587" 10932 11.777 100001 10931 11.777 90080
"110587" 10962 12.829 110001 10961 12.829 100030
"110587" 10981 13.234 120001 10980 13.234 110019
"110587" 11002 13.911 130001 11001 13.911 120021
"110587" 11030 15.091 140001 11029 15.091 130028
"110587" 11155 18.041 150001 11154 18.041 140125
expired_calendar WARNING 104

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.

Only the first 50 of 104 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "_SCO_23-Semaine-4-MALO_BZ04-0010000-"
3 "_SCO_23-Semaine-4-MALO_BZ04-1101100-"
4 "_SCO_23-Semaine-4-MALO_BZ04-1111100-"
5 "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
6 "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
7 "09_été24-7-jours-51-MALO_BZ04-1111111-"
8 "1_DETE-Dimanche-13-MALO_205-0000001-"
9 "1_Dim-Dimanche-4-MALO_206-0000001-"
10 "1_ETE-Lun-Sam-1-MALO_207-1111100-"
11 "1_ETE-Lun-Sam-1-MALO_207-1111110-"
12 "1_HIVER-Lun-Sam-10-MALO_206-0001110-"
13 "1_HIVER-Lun-Sam-10-MALO_206-1111100-"
14 "1_HIVER-Lun-Sam-10-MALO_206-1111110-"
15 "10_Dét24-Dimanche-51-MALO_BZ04-0000001-"
16 "10_été24-Lun-Sam-51-MALO_BZ04-1111100-"
17 "10_été24-Lun-Sam-51-MALO_BZ04-1111110-"
18 "11_Dét24-Dimanche-51-MALO_BZ04-0000001-"
19 "11_été24-Lun-Sam-51-MALO_BZ04-1111100-"
20 "11_été24-Lun-Sam-51-MALO_BZ04-1111110-"
21 "12_Dét24-Dimanche-51-MALO_BZ04-0000001-"
22 "12_été24-Lun-Sam-51-MALO_BZ04-1111100-"
23 "12_été24-Lun-Sam-51-MALO_BZ04-1111110-"
24 "13_Dét24-Dimanche-51-MALO_BZ04-0000001-"
25 "13_été24-Lun-Sam-51-MALO_BZ04-1111100-"
26 "13_été24-Lun-Sam-51-MALO_BZ04-1111110-"
27 "14_Dét24-Dimanche-51-MALO_BZ04-0000001-"
28 "14_été24-Lun-Sam-51-MALO_BZ04-1111100-"
29 "14_été24-Lun-Sam-51-MALO_BZ04-1111110-"
30 "15_été24-7-jours-51-MALO_BZ04-1111111-"
31 "2_DETE-Dimanche-13-MALO_205-0000001-"
32 "2_Dim-Dimanche-4-MALO_206-0000001-"
33 "2_ETE-Lun-Sam-1-MALO_207-1111100-"
34 "2_ETE-Lun-Sam-1-MALO_207-1111110-"
35 "2_HIVER-Lun-Sam-10-MALO_206-0001110-"
36 "2_HIVER-Lun-Sam-10-MALO_206-1111100-"
37 "2_HIVER-Lun-Sam-10-MALO_206-1111110-"
38 "2Ex_7j24-7-jours-8-MALO_BZ04-1111111-"
39 "2ex_é24-7-jours-51-MALO_BZ04-1111111-"
40 "3_DETE-Dimanche-13-MALO_205-0000001-"
41 "3_Dim-Dimanche-4-MALO_206-0000001-"
42 "3_ETE-Lun-Sam-0-MALO_207-1111100-"
43 "3_ETE-Lun-Sam-0-MALO_207-1111110-"
44 "3_HIVER-Lun-Sam-10-MALO_206-0001110-"
45 "3_HIVER-Lun-Sam-10-MALO_206-1111100-"
46 "3_HIVER-Lun-Sam-10-MALO_206-1111110-"
47 "4_DETE-Dimanche-13-MALO_205-0000001-"
48 "4_Dim-Dimanche-4-MALO_206-0000001-"
49 "4_ETE-Lun-Sam-1-MALO_207-1111110-"
50 "4_HIVER-Lun-Sam-10-MALO_206-1111110-"
51 "6_ETE-Lun-Sam-1-MALO_207-1111110-"
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 "20260116" "20240831" "20260123"
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
mixed_case_recommended_field WARNING 13

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.
"trips.txt" "trip_headsign" "INTRA-MUROS" 108
"trips.txt" "trip_headsign" "INTRA-MUROS" 109
"trips.txt" "trip_headsign" "INTRA-MUROS" 110
"trips.txt" "trip_headsign" "INTRA-MUROS" 111
"trips.txt" "trip_headsign" "INTRA-MUROS" 112
"trips.txt" "trip_headsign" "INTRA-MUROS" 113
"trips.txt" "trip_headsign" "INTRA-MUROS" 114
"trips.txt" "trip_headsign" "INTRA-MUROS" 115
"trips.txt" "trip_headsign" "INTRA-MUROS" 116
"trips.txt" "trip_headsign" "INTRA-MUROS" 117
"trips.txt" "trip_headsign" "INTRA-MUROS" 118
"trips.txt" "trip_headsign" "INTRA-MUROS" 119
"trips.txt" "trip_headsign" "INTRA-MUROS" 120
non_ascii_or_non_printable_char WARNING 1078

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 1078 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.
"trips.txt" 2 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 3 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 4 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 5 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 6 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 7 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 8 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 9 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 10 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 11 "service_id" "05_Dét24-Dimanche-51-MALO_BZ04-0000001-"
"trips.txt" 12 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 13 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 14 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 15 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 16 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 17 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 18 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 19 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 20 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 21 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 22 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 23 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 24 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 25 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 26 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 27 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 28 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 29 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 30 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 31 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 32 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 33 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 34 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 35 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 36 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 37 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 38 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 39 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 40 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 41 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 42 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 43 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 44 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 45 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 46 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 47 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 48 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 49 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 50 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
"trips.txt" 51 "service_id" "05_été24-Lun-Sam-51-MALO_BZ04-1111110-"
route_color_contrast WARNING 1

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"14" 16 "#D6BBFF" "#FFFFFF"
stop_too_far_from_shape_using_user_distance WARNING 2

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.
60 "90621" "20293689" 13900 "canvbal1" "Ville Ballet" [48.66924540001103,-1.8666308001059633] 117.99048660204114
60 "90621" "20293689" 13901 "canhoul2" "Port de la Houle" [48.671157278245516,-1.8536641112192433] 167.00262782725386
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.
"20260116" "20240708" "20240831"
trip_distance_exceeds_shape_distance_below_threshold WARNING 608

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 608 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"20294267" "51668" 24.246 24.243 3.47517055248333
"20294268" "51668" 24.246 24.243 3.47517055248333
"20294269" "51668" 24.246 24.243 3.47517055248333
"20294270" "51668" 24.246 24.243 3.47517055248333
"20294271" "51668" 24.246 24.243 3.47517055248333
"20294272" "51760" 23.846 23.844 2.1077800342848922
"20294273" "51760" 23.846 23.844 2.1077800342848922
"20294274" "51760" 23.846 23.844 2.1077800342848922
"20294275" "51760" 23.846 23.844 2.1077800342848922
"20294276" "51760" 23.846 23.844 2.1077800342848922
"20293723" "51668" 24.246 24.243 3.47517055248333
"20293724" "51668" 24.246 24.243 3.47517055248333
"20293725" "51668" 24.246 24.243 3.47517055248333
"20293726" "51668" 24.246 24.243 3.47517055248333
"20293727" "51668" 24.246 24.243 3.47517055248333
"20293728" "51668" 24.246 24.243 3.47517055248333
"20293729" "51668" 24.246 24.243 3.47517055248333
"20293730" "51668" 24.246 24.243 3.47517055248333
"20293731" "51668" 24.246 24.243 3.47517055248333
"20293732" "51668" 24.246 24.243 3.47517055248333
"20293733" "51668" 24.246 24.243 3.47517055248333
"20293734" "51668" 24.246 24.243 3.47517055248333
"20293735" "51760" 23.846 23.844 2.1077800342848922
"20293736" "51760" 23.846 23.844 2.1077800342848922
"20293737" "51760" 23.846 23.844 2.1077800342848922
"20293738" "51760" 23.846 23.844 2.1077800342848922
"20293739" "51760" 23.846 23.844 2.1077800342848922
"20293740" "51760" 23.846 23.844 2.1077800342848922
"20293741" "51760" 23.846 23.844 2.1077800342848922
"20293742" "51760" 23.846 23.844 2.1077800342848922
"20293743" "51760" 23.846 23.844 2.1077800342848922
"20293744" "51760" 23.846 23.844 2.1077800342848922
"20293745" "51760" 23.846 23.844 2.1077800342848922
"20293746" "51760" 23.846 23.844 2.1077800342848922
"20293747" "51668" 24.246 24.243 3.47517055248333
"20293748" "51668" 24.246 24.243 3.47517055248333
"20293749" "51668" 24.246 24.243 3.47517055248333
"20293750" "51668" 24.246 24.243 3.47517055248333
"20293751" "51668" 24.246 24.243 3.47517055248333
"20293752" "51668" 24.246 24.243 3.47517055248333
"20293753" "51668" 24.246 24.243 3.47517055248333
"20293754" "51668" 24.246 24.243 3.47517055248333
"20293755" "51668" 24.246 24.243 3.47517055248333
"20293756" "51668" 24.246 24.243 3.47517055248333
"20293757" "51668" 24.246 24.243 3.47517055248333
"20293758" "51760" 23.846 23.844 2.1077800342848922
"20293759" "51760" 23.846 23.844 2.1077800342848922
"20293760" "51760" 23.846 23.844 2.1077800342848922
"20293761" "51760" 23.846 23.844 2.1077800342848922
"20293762" "51760" 23.846 23.844 2.1077800342848922
unknown_column INFO 2

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.
"agency.txt" "agency_sort_order" 9
"translations.txt" "id" 1