setram2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-19T21:32:52Z,
for the dataset file:///shared/setram2_539a898c.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 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: 68
  • Shapes: 277
  • Stops: 1684
  • Trips: 32047

Specification Compliance report

21646 notices reported (14 errors, 21630 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 14

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" 147327 2.64 80001 147326 2.64 50002 468.03270112908325
"T20069" 147339 4.993 160001 147338 4.993 130002 615.2532602714227
"210103" 76874 1.721 70001 76873 1.721 60007 83.40324942921814
"T10076" 147143 2.152 120001 147142 2.152 90002 398.2148195590842
"T10076" 147155 4.513 200001 147154 4.513 170002 371.3713724528341
"T10095" 147253 1.642 110001 147252 1.642 80002 398.2148195590842
"T10095" 147265 4.003 190001 147264 4.003 160002 371.3713724528341
"1520013" 137108 3.64 60001 137107 3.64 30008 333.9550822361362
"T10081" 147185 2.361 90001 147184 2.361 60002 371.3713724528341
"200142" 62726 1.048 30001 62725 1.048 20009 3.1100115410020184
"200141" 61809 1.048 30001 61808 1.048 20009 3.1100115410020184
"200140" 60968 1.048 30001 60967 1.048 20009 3.1100115410020184
"1220012" 130225 4.694 80001 130224 4.694 70020 122.89635657285261
"200065" 56110 1.367 40001 56109 1.367 30009 3.1100115410020184
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2226

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 2226 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.
"110024" 23724 1.22 30034 23723 1.22 30033 0.3335853034368008
"110024" 23913 3.954 110001 23912 3.954 100046 0.4996244234706208
"110024" 23923 4.459 120001 23922 4.459 110010 0.401359854993464
"110024" 23986 5.09 140025 23985 5.09 140024 0.44478040505395056
"110024" 24007 5.13 140046 24006 5.13 140045 0.3176474919073545
"110024" 24036 5.425 150019 24035 5.425 150018 0.669456978458695
"110024" 24039 5.427 150022 24038 5.427 150021 0.7763741876870202
"110024" 24044 5.431 150027 24043 5.431 150026 0.7638333355911257
"110024" 24050 5.436 150033 24049 5.436 150032 0.8332951842863038
"110024" 24054 5.439 150037 24053 5.439 150036 0.31504632836480795
"110024" 24058 5.442 150041 24057 5.442 150040 0.8182236090861708
"110024" 24073 5.535 160002 24072 5.535 160001 0.36525402093649195
"110024" 24272 9.051 250017 24271 9.051 250016 0.7615628908410073
"110024" 24275 9.053 250020 24274 9.053 250019 0.7637507083074905
"110024" 24278 9.055 250023 24277 9.055 250022 0.5755176038427101
"110024" 24281 9.057 250026 24280 9.057 250025 0.6713006427267443
"110024" 24284 9.059 250029 24283 9.059 250028 0.5559755066711003
"110024" 24288 9.062 250033 24287 9.062 250032 0.730454247920143
"110024" 24291 9.064 250036 24290 9.064 250035 0.6688099745327096
"110024" 24294 9.066 250039 24293 9.066 250038 0.6299481339801905
"110024" 24298 9.069 250043 24297 9.069 250042 0.7476899300650928
"110024" 24302 9.072 250047 24301 9.072 250046 0.7517683221877556
"110024" 24307 9.076 250052 24306 9.076 250051 0.7760468237746482
"110024" 24311 9.079 250056 24310 9.079 250055 0.8149052883828978
"110024" 24316 9.083 250061 24315 9.083 250060 0.8938140031450857
"110024" 24320 9.086 250065 24319 9.086 250064 0.73045424962352
"110024" 24324 9.089 250069 24323 9.089 250068 0.7819086304346811
"110024" 24329 9.093 250074 24328 9.093 250073 0.7034685906239694
"110024" 24334 9.097 250079 24333 9.097 250078 0.9363345815079297
"110024" 24338 9.1 250083 24337 9.1 250082 0.6181817025850871
"110024" 24340 9.101 250085 24339 9.101 250084 0.5659743220906412
"110024" 24343 9.103 250088 24342 9.103 250087 0.7051393069942522
"110024" 24346 9.105 250091 24345 9.105 250090 0.6783277004837097
"110024" 24349 9.107 250094 24348 9.107 250093 0.605106010427819
"110024" 24351 9.108 250096 24350 9.108 250095 0.678327687557533
"110024" 24354 9.11 250099 24353 9.11 250098 0.7051392948941883
"110024" 24357 9.112 250102 24356 9.112 250101 0.6350166638996962
"110024" 24360 9.114 250105 24359 9.114 250104 0.6846159606880677
"1020035" 114368 4.751 50080 114367 4.751 50079 0.8625155344831155
"1020035" 114463 7.495 50175 114462 7.495 50174 0.7427087280258664
"1020035" 114468 7.499 50180 114467 7.499 50179 0.7637503957335565
"1020035" 114473 7.503 50185 114472 7.503 50184 0.7034685343438881
"1020035" 114477 7.506 50189 114476 7.506 50188 0.6835410433223988
"1020035" 114482 7.51 50194 114481 7.51 50193 0.7304544399875844
"1020035" 114486 7.513 50198 114485 7.513 50197 0.629948955108831
"1020035" 114489 7.515 50201 114488 7.515 50200 0.7427101333522702
"1020035" 114492 7.517 50204 114491 7.517 50203 0.6350167290269353
"1020035" 114495 7.519 50207 114494 7.519 50206 0.6350167828486623
"1020035" 114497 7.52 50209 114496 7.52 50208 0.5948015972566012
"1020035" 114500 7.522 50212 114499 7.522 50211 0.5948015857119441
equal_shape_distance_same_coordinates WARNING 4375

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 4375 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`.
"110024" 23668 0.489 20001 23667 0.489 10041
"110024" 23691 0.928 30001 23690 0.928 20023
"110024" 23742 1.411 40001 23741 1.411 30051
"110024" 23753 1.688 50001 23752 1.688 40011
"110024" 23773 2.056 60001 23772 2.056 50020
"110024" 23803 2.504 70001 23802 2.504 60030
"110024" 23816 2.796 80001 23815 2.796 70013
"110024" 23838 3.096 90001 23837 3.096 80022
"110024" 23867 3.432 100001 23866 3.432 90029
"110024" 23945 4.697 130001 23944 4.697 120022
"110024" 23962 5.042 140001 23961 5.042 130017
"110024" 24018 5.279 150001 24017 5.279 140056
"110024" 24072 5.535 160001 24071 5.535 150054
"110024" 24105 5.868 170001 24104 5.868 160033
"110024" 24113 6.037 180001 24112 6.037 170008
"110024" 24128 6.25 190001 24127 6.25 180015
"110024" 24139 6.42 200001 24138 6.42 190011
"110024" 24152 6.621 210001 24151 6.621 200013
"110024" 24164 6.844 220001 24163 6.844 210012
"110024" 24198 7.37 230001 24197 7.37 220034
"110024" 24237 8.564 240001 24236 8.564 230039
"110024" 24256 8.829 250001 24255 8.829 240019
"1020035" 114189 0.637 20001 114188 0.637 10034
"1020035" 114217 1.482 30001 114216 1.482 20028
"1020035" 114277 3.034 40001 114276 3.034 30060
"1020035" 114289 3.545 50001 114288 3.545 40012
"110025" 24406 0.489 20001 24405 0.489 10041
"110025" 24429 0.928 30001 24428 0.928 20023
"110025" 24480 1.411 40001 24479 1.411 30051
"110025" 24491 1.688 50001 24490 1.688 40011
"110025" 24511 2.056 60001 24510 2.056 50020
"110025" 24541 2.504 70001 24540 2.504 60030
"110025" 24554 2.796 80001 24553 2.796 70013
"110025" 24576 3.096 90001 24575 3.096 80022
"110025" 24605 3.432 100001 24604 3.432 90029
"110025" 24683 4.697 130001 24682 4.697 120022
"110025" 24700 5.042 140001 24699 5.042 130017
"110025" 24756 5.278 150001 24755 5.278 140056
"110025" 24810 5.534 160001 24809 5.534 150054
"110025" 24843 5.867 170001 24842 5.867 160033
"110025" 24851 6.037 180001 24850 6.037 170008
"110025" 24866 6.25 190001 24865 6.25 180015
"110025" 24877 6.42 200001 24876 6.42 190011
"110025" 24890 6.621 210001 24889 6.621 200013
"110025" 24902 6.843 220001 24901 6.843 210012
"110025" 24944 7.478 230001 24943 7.478 220042
"110025" 24960 7.708 240001 24959 7.708 230016
"1020036" 114833 4.395 20001 114832 4.395 10151
"1020036" 114872 4.72 30001 114871 4.72 20039
"1020036" 114885 4.994 40001 114884 4.994 30013
expired_calendar WARNING 16

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-PS26TV11-SE-PS-L-Ma-J-V-23"
7 "B-PS26TV11-SE-PS-L-Ma-J-V-23-1101100"
8 "B-PS26TV11-SE-PS-Mercredi-26"
9 "B-PS26TV11-SE-PS-Mercredi-26-0010000"
10 "B-PS26TV11-SE-PS-Jeudi-24"
11 "B-PS26TV11-SE-PS-Jeudi-24-0001000"
12 "B-PS26TV11-SE-PS-Vendredi-25"
13 "B-PS26TV11-SE-PS-Vendredi-25-0000100"
14 "B-PS26TV11-SA-PS-Samedi-24"
15 "B-PS26TV11-DI-PS-Dimanche-24"
35 "ST-26TX11-HB-DI-PS-Dimanche-24"
43 "T-PS-2526A-T24HESS-Mercredi-26"
44 "T-PS-2526A-T24HESS-Jeudi-26"
45 "T-PS-2526A-T24HPARA-Vendredi-26"
46 "T-PS-2526A-T24HSA-Samedi-26"
47 "T-PS-2526A-T24HDICR-Dimanche-26"
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 14983

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 14983 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" 1682
"trips.txt" "trip_headsign" "ST-GEORGES" 2
"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" 28
"trips.txt" "trip_headsign" "ST-GEORGES" 29
"trips.txt" "trip_headsign" "ST-GEORGES" 30
"trips.txt" "trip_headsign" "ST-GEORGES" 31
"trips.txt" "trip_headsign" "ST-GEORGES" 32
"trips.txt" "trip_headsign" "ST-GEORGES" 33
"trips.txt" "trip_headsign" "ST-GEORGES" 34
"trips.txt" "trip_headsign" "ST-GEORGES" 35
"trips.txt" "trip_headsign" "ST-GEORGES" 36
"trips.txt" "trip_headsign" "ST-GEORGES" 37
"trips.txt" "trip_headsign" "ST-GEORGES" 38
"trips.txt" "trip_headsign" "ST-GEORGES" 39
"trips.txt" "trip_headsign" "ST-GEORGES" 40
"trips.txt" "trip_headsign" "ST-GEORGES" 42
"trips.txt" "trip_headsign" "ST-GEORGES" 43
"trips.txt" "trip_headsign" "ST-GEORGES" 44
"trips.txt" "trip_headsign" "ST-GEORGES" 45
"trips.txt" "trip_headsign" "ST-GEORGES" 46
"trips.txt" "trip_headsign" "ST-GEORGES" 47
"trips.txt" "trip_headsign" "ST-GEORGES" 56
"trips.txt" "trip_headsign" "ST-GEORGES" 58
"trips.txt" "trip_headsign" "ST-GEORGES" 60
"trips.txt" "trip_headsign" "ST-GEORGES" 62
"trips.txt" "trip_headsign" "ST-GEORGES" 64
"trips.txt" "trip_headsign" "ST-GEORGES" 66
"trips.txt" "trip_headsign" "ST-GEORGES" 68
"trips.txt" "trip_headsign" "ST-GEORGES" 70
"trips.txt" "trip_headsign" "ST-GEORGES" 72
"trips.txt" "trip_headsign" "ST-GEORGES" 74
"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" 82
"trips.txt" "trip_headsign" "ST-GEORGES" 84
"trips.txt" "trip_headsign" "ST-GEORGES" 87
"trips.txt" "trip_headsign" "ST-GEORGES" 89
"trips.txt" "trip_headsign" "ST-GEORGES" 91
"trips.txt" "trip_headsign" "ST-GEORGES" 93
"trips.txt" "trip_headsign" "ST-GEORGES" 95
"trips.txt" "trip_headsign" "AUCHAN - CHENE VERT" 96
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" 67 "Résa+" "Résa+ Monne"
"TADT" 68 "Résa+" "Résa+ Technoparc"
"TADF" 69 "Résa+" "Résa+ La Forêt"
stop_too_far_from_shape WARNING 26

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.

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.
24072 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 520913 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
24072 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 520914 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
24072 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 520915 "2405" "Ifs" [48.002937,0.204691] 245.11347285003492
24781 "T10075" "4750455-T-CS-2526A-SEMCS25-Semaine-25" 531134 "1002" "Antarès-Stade Marie Marvingt" [47.964222,0.221185] 924.7376700472959
24784 "T10076" "4750459-T-CS-2526A-SEMCS25-Semaine-25" 531183 "1001" "Antarès-Stade Marie Marvingt" [47.964317,0.22124900000000003] 941.7400288966181
27402 "T10094" "5045210-T-PS-2526A-T24HESS-Jeudi-26" 586498 "1002" "Antarès-Stade Marie Marvingt" [47.968488,0.218817] 1421.525944619653
27403 "T10095" "5045211-T-PS-2526A-T24HESS-Jeudi-26" 586499 "1001" "Antarès-Stade Marie Marvingt" [47.968613,0.21883499999999997] 1442.8775236053898
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524097 "2313" "Family Village" [47.94148092431626,0.23624696526845124] 395.1736258996187
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524098 "2816" "Tilleuls" [47.93577096406103,0.23772956750732974] 2010.331464960511
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524099 "2527" "Les Pins" [47.93393858542696,0.23860400773226498] 2152.366802712841
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524100 "2495" "Le Pressoir" [47.94132900000001,0.236345] 2411.261257664416
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524101 "2565" "Marcel Létang" [47.94132900000001,0.236345] 2180.512962209305
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524102 "3105" "Petit Plessis" [47.941432,0.23629699999999998] 1990.3970281418403
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524103 "2585" "Millet" [47.955881,0.22181] 1953.960540739388
24262 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 524104 "2364" "Glonnières-Centre Sud" [47.955881,0.22181] 1901.8272243955018
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524105 "2585" "Millet" [47.956286,0.220722] 1914.6805394165008
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524106 "2364" "Glonnières-Centre Sud" [47.956281,0.22065000000000007] 1842.3953927037544
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524107 "3102" "Petit Plessis" [47.940779000000006,0.23609400000000003] 2036.765838530531
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524108 "3103" "Mairie Ruaudin" [47.940343000000006,0.236292] 2142.761632488548
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524109 "2496" "Le Pressoir" [47.940205,0.23633] 2422.5634398329403
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524110 "2526" "Les Pins" [47.93426744175241,0.23844707706033108] 2103.789257363456
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524111 "3122" "Bouchardière" [47.94013566131511,0.236339023540917] 1919.4372929399838
24263 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 524112 "2313" "Family Village" [47.941557,0.23541600000000001] 436.79058120644396
24060 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 520708 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
24060 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 520709 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
24060 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 520710 "2405" "Ifs" [48.002937,0.204691] 245.11347285003492
big_gap_in_service INFO 1

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"T-CS-2526A-SEMCS25-Semaine-25" "2026-07-10" "2026-08-24" 44
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