GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-12T10:38:50Z,
for the dataset file:///shared/setram2_78ea4411.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. frequencies.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 69
  • Shapes: 308
  • Stops: 1710
  • Trips: 38770

Specification Compliance report

25653 notices reported (19 errors, 25633 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 19

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.
"T20069" 150102 2.64 80001 150101 2.64 50002 468.03270112908325
"T20069" 150114 4.993 160001 150113 4.993 130002 615.2532602714227
"140005" 50491 2.503 80001 50490 2.503 70043 4.948842820745479
"140005" 50512 3.542 100001 50511 3.542 90004 4.5504902315677125
"B10043" 146172 1.582 20001 146171 1.582 10167 27.94447639974086
"B10043" 146191 2.018 30001 146190 2.018 20019 53.02273151694237
"B10043" 146275 2.936 50001 146274 2.936 40060 12.578338091178232
"B10043" 146350 3.751 70001 146349 3.751 60013 70.39070793182884
"T10076" 149918 2.152 120001 149917 2.152 90002 398.2148195590842
"T10076" 149930 4.513 200001 149929 4.513 170002 371.3713724528341
"40018" 771 4.288 150001 770 4.288 140004 4.5504902315677125
"40001" 201 4.288 150001 200 4.288 140004 4.5504902315677125
"T10095" 150028 1.642 110001 150027 1.642 80002 398.2148195590842
"T10095" 150040 4.003 190001 150039 4.003 160002 371.3713724528341
"1520013" 136108 3.64 60001 136107 3.64 30008 333.9550822361362
"T10081" 149960 2.361 90001 149959 2.361 60002 371.3713724528341
"200043" 62166 1.367 30001 62165 1.367 20009 3.1100115410020184
"1220012" 129217 4.694 80001 129216 4.694 70020 122.89635657285261
"200065" 66268 1.367 40001 66267 1.367 30009 3.1100115410020184
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2688

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 2688 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.
"1020035" 113360 4.751 50080 113359 4.751 50079 0.8625155344831155
"1020035" 113455 7.495 50175 113454 7.495 50174 0.7427087280258664
"1020035" 113460 7.499 50180 113459 7.499 50179 0.7637503957335565
"1020035" 113465 7.503 50185 113464 7.503 50184 0.7034685343438881
"1020035" 113469 7.506 50189 113468 7.506 50188 0.6835410433223988
"1020035" 113474 7.51 50194 113473 7.51 50193 0.7304544399875844
"1020035" 113478 7.513 50198 113477 7.513 50197 0.629948955108831
"1020035" 113481 7.515 50201 113480 7.515 50200 0.7427101333522702
"1020035" 113484 7.517 50204 113483 7.517 50203 0.6350167290269353
"1020035" 113487 7.519 50207 113486 7.519 50206 0.6350167828486623
"1020035" 113489 7.52 50209 113488 7.52 50208 0.5948015972566012
"1020035" 113492 7.522 50212 113491 7.522 50211 0.5948015857119441
"1020035" 113495 7.524 50215 113494 7.524 50214 0.6350167614675615
"1020035" 113497 7.525 50217 113496 7.525 50216 0.5659743589690133
"1020035" 113500 7.527 50220 113499 7.527 50219 0.6299490169237425
"1020035" 113503 7.529 50223 113502 7.529 50222 0.5570325134435972
"240089" 85461 11.835 130159 85460 11.835 130158 0.630721593494378
"240089" 85465 11.838 130163 85464 11.838 130162 0.7132220995714164
"240089" 85468 11.841 130166 85467 11.841 130165 0.8707219421082839
"1020036" 114046 7.116 70044 114045 7.116 70043 0.4993485123241577
"320080" 104855 4.323 50024 104854 4.323 50023 0.5326625338275559
"320080" 105158 11.571 100111 105157 11.571 100110 0.5798604843444979
"120071" 28140 1.306 50001 28139 1.306 40020 0.13378896817793098
"270050" 97964 0.419 20002 97963 0.419 20001 0.5609427204496502
"200072" 68392 0.527 20019 68391 0.527 20018 0.6822575505428994
"200072" 68394 0.528 20021 68393 0.528 20020 0.3714921790076196
"200072" 68397 0.53 20024 68396 0.53 20023 0.5798167029029777
"200072" 68441 0.845 20068 68440 0.845 20067 0.5990945302276927
"200072" 68452 0.863 20079 68451 0.863 20078 0.3719516366946411
"200072" 68463 0.933 20090 68462 0.933 20089 0.683558337358033
"200072" 68465 0.934 20092 68464 0.934 20091 0.46900424704635374
"200072" 68466 0.934 20093 68465 0.934 20092 0.45095836946368056
"200072" 68468 0.935 20095 68467 0.935 20094 0.5609301251557227
"200072" 68470 0.936 20097 68469 0.936 20096 0.44478040505395056
"200072" 68471 0.936 20098 68470 0.936 20097 0.36525951100800025
"200072" 68474 0.938 20101 68473 0.938 20100 0.49762851291111776
"200072" 68476 0.939 20103 68475 0.939 20102 0.8027045918112622
"200072" 68478 0.94 20105 68477 0.94 20104 0.6301171244940675
"200072" 68481 0.942 20108 68480 0.942 20107 0.5662288632030403
"200072" 68484 0.944 20111 68483 0.944 20110 0.605416781153009
"200072" 68487 0.946 20114 68486 0.946 20113 0.38821400596818295
"200072" 68491 0.949 20118 68490 0.949 20117 0.7617523137984725
"200072" 68520 1.637 40014 68519 1.637 40013 0.6847965232611967
"200072" 68525 1.641 40019 68524 1.641 40018 0.7924551236812448
"200072" 68530 1.645 40024 68529 1.645 40023 0.8972404465769425
"200072" 68533 1.647 40027 68532 1.647 40026 0.31504632836480795
"200072" 68538 1.651 40032 68537 1.651 40031 0.8926075735487179
"200072" 68552 1.743 50002 68551 1.743 50001 0.36525402093649195
"200071" 67686 0.527 10044 67685 0.527 10043 0.6822575505428994
"200071" 67688 0.528 10046 67687 0.528 10045 0.3714921790076196
equal_shape_distance_same_coordinates WARNING 4820

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 4820 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`.
"1020035" 113181 0.637 20001 113180 0.637 10034
"1020035" 113209 1.482 30001 113208 1.482 20028
"1020035" 113269 3.034 40001 113268 3.034 30060
"1020035" 113281 3.545 50001 113280 3.545 40012
"240089" 84839 0.264 20001 84838 0.264 10021
"240089" 84866 0.636 30001 84865 0.636 20027
"240089" 84901 0.997 40001 84900 0.997 30035
"240089" 84931 1.519 50001 84930 1.519 40030
"240089" 84973 2.019 60001 84972 2.019 50042
"240089" 85000 2.491 70001 84999 2.491 60027
"240089" 85014 2.764 80001 85013 2.764 70014
"240089" 85035 3.138 90001 85034 3.138 80021
"240089" 85074 3.72 100001 85073 3.72 90039
"240089" 85113 4.198 110001 85112 4.198 100039
"240089" 85151 4.794 120001 85150 4.794 110038
"240089" 85303 8.737 130001 85302 8.737 120152
"240089" 85502 12.147 140001 85501 12.147 130199
"1020036" 113825 4.395 20001 113824 4.395 10151
"1020036" 113864 4.72 30001 113863 4.72 20039
"1020036" 113877 4.994 40001 113876 4.994 30013
"1020036" 113908 5.383 50001 113907 5.383 40031
"1020036" 113924 5.771 60001 113923 5.771 50016
"1020036" 114003 6.796 70001 114002 6.796 60079
"1020036" 114047 7.116 80001 114046 7.116 70044
"1020036" 114074 7.535 90001 114073 7.535 80027
"1020036" 114098 8.157 100001 114097 8.157 90024
"1020036" 114108 8.582 110001 114107 8.582 100010
"1020036" 114162 10.039 120001 114161 10.039 110054
"1020036" 114194 10.989 130001 114193 10.989 120032
"1020036" 114226 11.582 140001 114225 11.582 130032
"1020036" 114296 14.057 150001 114295 14.057 140070
"1020036" 114304 14.536 160001 114303 14.536 150008
"1020036" 114340 15.806 170001 114339 15.806 160036
"1020039" 114528 4.395 20001 114527 4.395 10151
"1020039" 114567 4.72 30001 114566 4.72 20039
"1020039" 114580 4.994 40001 114579 4.994 30013
"1020039" 114611 5.383 50001 114610 5.383 40031
"1020039" 114627 5.771 60001 114626 5.771 50016
"320080" 104776 2.892 20001 104775 2.892 10078
"320080" 104800 3.371 30001 104799 3.371 20024
"320080" 104816 3.629 40001 104815 3.629 30016
"320080" 104832 3.858 50001 104831 3.858 40016
"320080" 104896 5.921 60001 104895 5.921 50064
"320080" 104920 6.643 70001 104919 6.643 60024
"320080" 104953 7.292 80001 104952 7.292 70033
"320080" 105023 8.39 90001 105022 8.39 80070
"320080" 105048 8.922 100001 105047 8.922 90025
"270051" 98346 0.94 20001 98345 0.94 10090
"270051" 98385 1.546 30001 98384 1.546 20039
"270051" 98441 2.557 40001 98440 2.557 30056
expired_calendar WARNING 21

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.
6 "B-CS26TV10-SEMCS26-Semaine-50"
7 "B-CS26TV10-SEMCS26-Semaine-45"
8 "B-PS26TV10-SATV10-Samedi-35"
9 "B-PS26TV10-DITV10-Dimanche-75"
10 "B-PS26TV10-SATV10-Samedi-65"
11 "B-PS26TV10-DITV10-Dimanche-70"
18 "B-PS26TV11-SEGP-PS-L-Ma-J-V-50"
19 "B-PS26TV11-SEGP-PS-L-Ma-J-V-50-1101100"
20 "B-PS26TV11-DIGP-PS-Dimanche-50"
21 "B-PS26TV11-SAGP-PS-Samedi-50"
22 "B-PS26TV11-DIGP-PS-Dimanche-30"
35 "ST-26TX10-HB-SE-CS-Semaine-10"
36 "ST-26TX10-HB-SE-CS-Semaine-10-1111100"
37 "ST-26TX10-HB-SA-PS-Samedi-10"
38 "ST-26TX10-HB-DI-PS-Dimanche-75"
39 "ST-26TX10-HB-DI-PS-Dimanche-10"
46 "ST-26TX11-HB-DI-PS-Dimanche-30"
51 "T-CS-2526A-SEM-PRT-Semaine-15"
56 "T-PS-2526A-TVEGP26-Dimanche-77"
57 "T-PS-2526A-TSAGP26-Samedi-77"
58 "T-PS-2526A-TDIGP26-Dimanche-77"
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 17999

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.

Only the first 50 of 17999 affected records are displayed below.

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_short_name" "25EX" 61
"stops.txt" "stop_name" "2ème RIMA" 1708
"trips.txt" "trip_headsign" "ST-GEORGES" 4
"trips.txt" "trip_headsign" "ST-GEORGES" 5
"trips.txt" "trip_headsign" "ST-GEORGES" 6
"trips.txt" "trip_headsign" "ST-GEORGES" 13
"trips.txt" "trip_headsign" "ST-GEORGES" 14
"trips.txt" "trip_headsign" "ST-GEORGES" 15
"trips.txt" "trip_headsign" "ST-GEORGES" 16
"trips.txt" "trip_headsign" "ST-GEORGES" 17
"trips.txt" "trip_headsign" "ST-GEORGES" 18
"trips.txt" "trip_headsign" "ST-GEORGES" 21
"trips.txt" "trip_headsign" "ST-GEORGES" 22
"trips.txt" "trip_headsign" "ST-GEORGES" 23
"trips.txt" "trip_headsign" "ST-GEORGES" 24
"trips.txt" "trip_headsign" "ST-GEORGES" 25
"trips.txt" "trip_headsign" "ST-GEORGES" 26
"trips.txt" "trip_headsign" "ST-GEORGES" 27
"trips.txt" "trip_headsign" "ST-GEORGES" 73
"trips.txt" "trip_headsign" "ST-GEORGES" 74
"trips.txt" "trip_headsign" "ST-GEORGES" 75
"trips.txt" "trip_headsign" "ST-GEORGES" 76
"trips.txt" "trip_headsign" "ST-GEORGES" 77
"trips.txt" "trip_headsign" "ST-GEORGES" 78
"trips.txt" "trip_headsign" "ST-GEORGES" 79
"trips.txt" "trip_headsign" "ST-GEORGES" 80
"trips.txt" "trip_headsign" "ST-GEORGES" 81
"trips.txt" "trip_headsign" "ST-GEORGES" 82
"trips.txt" "trip_headsign" "ST-GEORGES" 83
"trips.txt" "trip_headsign" "ST-GEORGES" 84
"trips.txt" "trip_headsign" "ST-GEORGES" 85
"trips.txt" "trip_headsign" "ST-GEORGES" 86
"trips.txt" "trip_headsign" "ST-GEORGES" 87
"trips.txt" "trip_headsign" "ST-GEORGES" 88
"trips.txt" "trip_headsign" "ST-GEORGES" 89
"trips.txt" "trip_headsign" "ST-GEORGES" 90
"trips.txt" "trip_headsign" "ST-GEORGES" 91
"trips.txt" "trip_headsign" "ST-GEORGES" 92
"trips.txt" "trip_headsign" "ST-GEORGES" 93
"trips.txt" "trip_headsign" "ST-GEORGES" 94
"trips.txt" "trip_headsign" "ST-GEORGES" 95
"trips.txt" "trip_headsign" "ST-GEORGES" 96
"trips.txt" "trip_headsign" "ST-GEORGES" 97
"trips.txt" "trip_headsign" "ST-GEORGES" 98
"trips.txt" "trip_headsign" "ST-GEORGES" 99
"trips.txt" "trip_headsign" "ST-GEORGES" 100
"trips.txt" "trip_headsign" "ST-GEORGES" 101
"trips.txt" "trip_headsign" "ST-GEORGES" 102
"trips.txt" "trip_headsign" "ST-GEORGES" 103
"trips.txt" "trip_headsign" "ST-GEORGES" 104
route_long_name_contains_short_name WARNING 3

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"TADM" 68 "Résa+" "Résa+ Monne"
"TADT" 69 "Résa+" "Résa+ Technoparc"
"TADF" 70 "Résa+" "Résa+ La Forêt"
stop_too_far_from_shape WARNING 98

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

Only the first 50 of 98 affected records are displayed below.

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.
12831 "200072" "5028507-B-PS26TV11-SA-PS-Samedi-23" 267644 "2470" "Lafayette" [48.005943,0.19370499999999996] 298.30174853534686
12831 "200072" "5028507-B-PS26TV11-SA-PS-Samedi-23" 267645 "2123" "Bouttié" [48.01214685459184,0.19048550980279308] 151.01608525024335
12978 "60008" "5028681-B-PS26TV11-SA-PS-Samedi-23" 270343 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
12978 "60008" "5028681-B-PS26TV11-SA-PS-Samedi-23" 270344 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
13031 "230025" "5028767-B-PS26TV11-SA-PS-Samedi-23" 271348 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
13031 "230025" "5028767-B-PS26TV11-SA-PS-Samedi-23" 271349 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
12851 "140006" "5028537-B-PS26TV11-SA-PS-Samedi-23" 268097 "3158" "Lafayette" [48.011224000000006,0.189155] 509.38901723287375
12851 "140006" "5028537-B-PS26TV11-SA-PS-Samedi-23" 268098 "2534" "Libération" [48.000115,0.192554] 631.0845945982387
12851 "140006" "5028537-B-PS26TV11-SA-PS-Samedi-23" 268099 "2717" "Richedoué" [48.000097,0.192521] 604.9340996574578
12851 "140006" "5028537-B-PS26TV11-SA-PS-Samedi-23" 268100 "2019" "Anatole France" [47.998627000000006,0.19142500000000004] 597.0577748112327
12851 "140006" "5028537-B-PS26TV11-SA-PS-Samedi-23" 268101 "3156" "La Fabrique" [47.99943530742161,0.1920541748299475] 395.56884623703326
19934 "140006" "5035400-B-PS26TV11-SE-PS-Vendredi-24" 412772 "3026" "Courboulay" [48.00935400000001,0.195352] 489.46599892020095
19934 "140006" "5035400-B-PS26TV11-SE-PS-Vendredi-24" 412773 "3230" "Mediathèque" [48.00009753174018,0.1925219453156241] 179.32704297490966
20436 "40045" "5036284-B-PS26TV11-SE-PS-Vendredi-24" 423761 "3026" "Courboulay" [48.005037,0.193874] 154.50498795426626
20446 "40044" "5036294-B-PS26TV11-SE-PS-Vendredi-24" 424030 "3026" "Courboulay" [48.00455000000001,0.19372] 173.8656155709615
20320 "40048" "5036168-B-PS26TV11-SE-PS-Vendredi-24" 420627 "3026" "Courboulay" [48.00455000000001,0.19372] 173.8656155709615
14920 "150058" "5027830-B-PS26TV11-SA-PS-Samedi-24" 306935 "2585" "Millet" [47.9707119412108,0.22739813014855334] 441.8366562507383
14920 "150058" "5027830-B-PS26TV11-SA-PS-Samedi-24" 306936 "2364" "Glonnières-Centre Sud" [47.968586,0.22431699999999996] 726.3725161050291
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381872 "2585" "Millet" [47.956286,0.220722] 1914.6805394165008
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381873 "2364" "Glonnières-Centre Sud" [47.956281,0.22065000000000007] 1842.3953927037544
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381874 "3102" "Petit Plessis" [47.940779000000006,0.23609400000000003] 2036.765838530531
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381875 "3103" "Mairie Ruaudin" [47.940343000000006,0.236292] 2142.761632488548
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381876 "2496" "Le Pressoir" [47.940205,0.23633] 2422.5634398329403
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381877 "2526" "Les Pins" [47.93426744175241,0.23844707706033108] 2103.789257363456
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381878 "3122" "Bouchardière" [47.94013566131511,0.236339023540917] 1919.4372929399838
18268 "240074" "5033694-B-PS26TV11-SE-PS-Jeudi-24" 381879 "2313" "Family Village" [47.941557,0.23541600000000001] 436.79058120644396
14925 "150051" "5027835-B-PS26TV11-SA-PS-Samedi-24" 307083 "2585" "Millet" [47.9707119412108,0.22739813014855334] 441.8366562507383
14925 "150051" "5027835-B-PS26TV11-SA-PS-Samedi-24" 307084 "2364" "Glonnières-Centre Sud" [47.968586,0.22431699999999996] 726.3725161050291
20311 "40032" "5036159-B-PS26TV11-SE-PS-Vendredi-24" 420393 "3026" "Courboulay" [48.005037,0.193874] 154.50498795426626
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308226 "2313" "Family Village" [47.94148092431626,0.23624696526845124] 395.1736258996187
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308227 "2816" "Tilleuls" [47.93577096406103,0.23772956750732974] 2010.331464960511
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308228 "2527" "Les Pins" [47.93393858542696,0.23860400773226498] 2152.366802712841
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308229 "2495" "Le Pressoir" [47.94132900000001,0.236345] 2411.261257664416
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308230 "2565" "Marcel Létang" [47.94132900000001,0.236345] 2180.512962209305
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308231 "3105" "Petit Plessis" [47.941432,0.23629699999999998] 1990.3970281418403
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308232 "2585" "Millet" [47.955881,0.22181] 1953.960540739388
14987 "240079" "5027931-B-PS26TV11-SA-PS-Samedi-24" 308233 "2364" "Glonnières-Centre Sud" [47.955881,0.22181] 1901.8272243955018
29966 "270024" "4994241-ST-26TX10-HB-DI-PS-Dimanche-75" 638462 "2866" "Yokel" [47.955885,0.221811] 1138.8272769627895
29953 "270023" "4994228-ST-26TX10-HB-DI-PS-Dimanche-75" 638310 "2385" "Guetteloup" [47.95588034577242,0.2219054794002189] 1067.197143234325
29953 "270023" "4994228-ST-26TX10-HB-DI-PS-Dimanche-75" 638311 "2866" "Yokel" [47.955885,0.221811] 1138.8272769627895
12860 "140021" "5028546-B-PS26TV11-SA-PS-Samedi-23" 268350 "2882" "Colonel Raynal" [47.99872,0.18908899999999998] 292.41273178454065
12860 "140021" "5028546-B-PS26TV11-SA-PS-Samedi-23" 268351 "2020" "Anatole France" [47.99963562835225,0.1898048318263017] 455.6889471562943
12860 "140021" "5028546-B-PS26TV11-SA-PS-Samedi-23" 268352 "2535" "Libération" [48.001121,0.19098599999999996] 451.76299114184843
12860 "140021" "5028546-B-PS26TV11-SA-PS-Samedi-23" 268353 "2123" "Bouttié" [48.009928,0.19463900000000003] 425.4620405279781
12860 "140021" "5028546-B-PS26TV11-SA-PS-Samedi-23" 268354 "2120" "Boussinière" [48.01745152919944,0.18832493983372023] 444.9729383542042
19958 "140021" "5035424-B-PS26TV11-SE-PS-Vendredi-24" 413470 "3025" "Courboulay" [48.005037,0.193874] 140.9309420205542
12876 "140022" "5028562-B-PS26TV11-SA-PS-Samedi-23" 268794 "2123" "Bouttié" [48.009928,0.19463900000000003] 425.4620405279781
12876 "140022" "5028562-B-PS26TV11-SA-PS-Samedi-23" 268795 "2120" "Boussinière" [48.01745152919944,0.18832493983372023] 444.9729383542042
19935 "140022" "5035401-B-PS26TV11-SE-PS-Vendredi-24" 412782 "3025" "Courboulay" [48.005037,0.193874] 140.9309420205542
13376 "50101" "5029226-B-PS26TV11-SA-PS-Samedi-23" 276585 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
stops_match_shape_out_of_order WARNING 3

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
12760 "70053" "5028420-B-PS26TV11-SA-PS-Samedi-23" 266056 "2123" "Bouttié" [48.01109900001174,0.189142] 266055 "3035" "Lafayette" [48.00738406630442,0.19041520432396]
31348 "1220012" "5005276-ST-26TX11-HB-SE-PS-Semaine-00" 654409 "3072" "Béroize" [48.03630602632613,0.28709020342597247] 654408 "2995" "Rôti" [48.03158041703372,0.2819592005480537]
31346 "1220011" "5005274-ST-26TX11-HB-SE-PS-Semaine-00-1101100" 654392 "3072" "Béroize" [48.03630602632613,0.28709020342597247] 654391 "2995" "Rôti" [48.03158041703372,0.2819592005480537]
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" "stop_time_desc" 8