start2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-15T02:09:23Z,
for the dataset file:///shared/start2_f8f3118b.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Réseau STAR'T
Publisher URL:
https://www.star-t.fr
Feed Email:
contact@star-t.fr
Feed Language:
French
Feed Start Date:
2026-06-30
Feed End Date:
2026-08-31

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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 16
  • Shapes: 47
  • Stops: 662
  • Trips: 6358

Specification Compliance report

2465 notices reported (0 errors, 1909 warnings, 556 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 1366

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 1366 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.
"88" 4825 0.0 2 4824 0.0 1 0.10485780648173401
"88" 4845 5054.0 22 4844 5054.0 21 0.3367716306834403
"88" 4847 5055.0 24 4846 5055.0 23 3.0524493748437745E-10
"88" 4854 5424.0 31 4853 5424.0 30 1.5930774669831312E-9
"88" 4866 6369.0 43 4865 6369.0 42 0.15055052186743934
"88" 4897 8243.0 74 4896 8243.0 73 6.103839357224394E-10
"88" 4900 8248.0 77 4899 8248.0 76 0.1266495596846431
"88" 4901 8248.0 78 4900 8248.0 77 0.34230386270875957
"88" 4914 8711.0 91 4913 8711.0 90 0.22789038119004232
"88" 4918 8753.0 95 4917 8753.0 94 0.8566322665695355
"88" 4952 11967.0 129 4951 11967.0 128 0.3197270784856803
"88" 4953 11967.0 130 4952 11967.0 129 2.8292967968468474E-9
"88" 4954 11967.0 131 4953 11967.0 130 5.052440495430817E-5
"88" 4955 11967.0 132 4954 11967.0 131 5.052395602190327E-5
"67" 8223 0.0 2 8222 0.0 1 0.464826540516066
"67" 8251 514.0 30 8250 514.0 29 1.5929776164035694E-9
"67" 8254 517.0 33 8253 517.0 32 0.22058321051296206
"67" 8258 804.0 37 8257 804.0 36 2.1219725976351356E-9
"67" 8259 804.0 38 8258 804.0 37 6.50520818767964E-5
"67" 8260 804.0 39 8259 804.0 38 6.505307508822276E-5
"67" 8289 2082.0 68 8288 2082.0 67 0.287532616052757
"67" 8295 2328.0 74 8294 2328.0 73 6.0700836508965555E-9
"67" 8296 2328.0 75 8295 2328.0 74 6.0700836508965555E-9
"67" 8312 3139.0 91 8311 3139.0 90 0.15278729898929713
"67" 8314 3403.0 93 8313 3403.0 92 2.1219725976351356E-9
"67" 8316 3403.0 95 8315 3403.0 94 2.1219725976351356E-9
"67" 8320 3621.0 99 8319 3621.0 98 0.6603616404024182
"67" 8327 4000.0 106 8326 4000.0 105 7.073241992117119E-10
"67" 8328 4000.0 107 8327 4000.0 106 7.073241992117119E-10
"67" 8336 4289.0 115 8335 4289.0 114 2.1219725976351356E-9
"67" 8341 4603.0 120 8340 4603.0 119 7.073241992117119E-10
"67" 8343 4603.0 122 8342 4603.0 121 7.073241992117119E-10
"67" 8344 4603.0 123 8343 4603.0 122 0.10817166416283137
"67" 8351 4764.0 130 8350 4764.0 129 2.1219725976351356E-9
"67" 8363 5061.0 142 8362 5061.0 141 9.341174581306485E-10
"67" 8364 5061.0 143 8363 5061.0 142 0.2533564314019902
"67" 8365 5061.0 144 8364 5061.0 143 0.253356432284574
"67" 8369 5308.0 148 8368 5308.0 147 0.07089299874935634
"67" 8370 5308.0 149 8369 5308.0 148 0.10622005752046298
"67" 8371 5308.0 150 8370 5308.0 149 0.03533800430927803
"67" 8381 5634.0 160 8380 5634.0 159 0.05817463430262241
"67" 8382 5634.0 161 8381 5634.0 160 0.23276734079963712
"67" 8383 5634.0 162 8382 5634.0 161 0.17462701532406455
"67" 8412 6383.0 191 8411 6383.0 190 0.11398236346331694
"68" 9443 0.0 2 9442 0.0 1 0.04776553465901172
"68" 9464 1371.0 23 9463 1371.0 22 2.1721522463443966E-9
"68" 9466 1377.0 25 9465 1377.0 24 2.1219725976351356E-9
"68" 9478 2103.0 37 9477 2103.0 36 2.906104473672188E-5
"68" 9479 2103.0 38 9478 2103.0 37 2.906104473672188E-5
"68" 9484 2500.0 43 9483 2500.0 42 0.21001381931122848
equal_shape_distance_same_coordinates WARNING 192

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 192 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`.
"88" 4913 8711.0 90 4912 8711.0 89
"67" 8263 1161.0 42 8262 1161.0 41
"67" 8290 2082.0 69 8289 2082.0 68
"67" 8311 3139.0 90 8310 3139.0 89
"67" 8315 3403.0 94 8314 3403.0 93
"67" 8342 4603.0 121 8341 4603.0 120
"68" 9486 2500.0 45 9485 2500.0 44
"24" 11339 4679.0 81 11338 4679.0 80
"24" 11363 6557.0 105 11362 6557.0 104
"24" 11370 7118.0 112 11369 7118.0 111
"24" 11417 9368.0 159 11416 9368.0 158
"25" 1286 4679.0 81 1285 4679.0 80
"25" 1310 6557.0 105 1309 6557.0 104
"25" 1317 7118.0 112 1316 7118.0 111
"25" 1364 9368.0 159 1363 9368.0 158
"26" 4666 2929.0 57 4665 2929.0 56
"26" 4683 5078.0 74 4682 5078.0 73
"26" 4695 6730.0 86 4694 6730.0 85
"110" 3417 12508.0 232 3416 12508.0 231
"111" 1011 4464.0 81 1010 4464.0 80
"111" 1081 13822.0 151 1080 13822.0 150
"112" 2252 4464.0 81 2251 4464.0 80
"112" 2354 12561.0 183 2353 12561.0 182
"112" 2470 21139.0 299 2469 21139.0 298
"112" 2482 21793.0 311 2481 21793.0 310
"112" 2512 24499.0 341 2511 24499.0 340
"113" 5039 4464.0 81 5038 4464.0 80
"113" 5109 13822.0 151 5108 13822.0 150
"115" 7064 2183.0 33 7063 2183.0 32
"115" 7076 2644.0 45 7075 2644.0 44
"115" 7164 5769.0 133 7163 5769.0 132
"115" 7194 7848.0 163 7193 7848.0 162
"115" 7216 9147.0 185 7215 9147.0 184
"116" 2667 2183.0 33 2666 2183.0 32
"116" 2679 2644.0 45 2678 2644.0 44
"116" 2767 5769.0 133 2766 5769.0 132
"117" 6774 1167.0 56 6773 1167.0 55
"117" 6800 2486.0 82 6799 2486.0 81
"117" 6895 5111.0 177 6894 5111.0 176
"117" 6910 5719.0 192 6909 5719.0 191
"117" 6967 7306.0 249 6966 7306.0 248
"117" 7001 8637.0 283 7000 8637.0 282
"117" 7012 9091.0 294 7011 9091.0 293
"117" 7024 9778.0 306 7023 9778.0 305
"118" 9530 939.0 15 9529 939.0 14
"118" 9539 1403.0 24 9538 1403.0 23
"118" 9620 4102.0 105 9619 4102.0 104
"118" 9636 4577.0 121 9635 4577.0 120
"118" 9749 7945.0 234 9748 7945.0 233
"118" 9752 8255.0 237 9751 8255.0 236
expired_calendar WARNING 12

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 "46_26_Mai_Sam"
3 "47_Mai_Dim"
4 "48_26_Mai_PS_LJ"
5 "49_26_Mai_PS_Ma"
6 "50_26_Mai_PS_Me"
7 "57_26_Mai_PS_V"
8 "63_26_juil_PS_M"
9 "64_26_Juil_PS_L"
10 "65_26_Juil_PS_V"
11 "66_26_Juil_Sam"
15 "70_26_ETE_LaV_1"
16 "71_26_ETE_LaV_T"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

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 "20260815" "20260831" "20260914"
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.
"E1" 4 "#FFD740" "#FFFFFF"
route_long_name_contains_short_name WARNING 1

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`.
"E1" 4 "E1" "E1"
service_has_no_active_day_of_the_week WARNING 16

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "46_26_Mai_Sam"
3 "47_Mai_Dim"
4 "48_26_Mai_PS_LJ"
5 "49_26_Mai_PS_Ma"
6 "50_26_Mai_PS_Me"
7 "57_26_Mai_PS_V"
8 "63_26_juil_PS_M"
9 "64_26_Juil_PS_L"
10 "65_26_Juil_PS_V"
11 "66_26_Juil_Sam"
12 "67_Juil_Dim"
13 "68_26_ETE_LaV"
14 "69_26_ETE_Sam"
15 "70_26_ETE_LaV_1"
16 "71_26_ETE_LaV_T"
17 "72_26_ETE_LaV_s"
stop_too_far_from_shape_using_user_distance WARNING 319

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.

Only the first 50 of 319 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.
604 "68" "6500001948" 8533 "MA_COLL2" "Colletaz" [46.33948566707087,6.416361334753724] 114.08323179170972
2285 "24" "7200002013" 32609 "CE_PESS1" "Pessinges" [46.28906621821838,6.4475262653176575] 141.54609713654332
2285 "24" "7200002013" 32610 "DR_CHEV1" "La Cheville" [46.2964101521684,6.451657271850104] 159.54295285980032
2285 "24" "7200002013" 32611 "DR_CHL1" "Draillant Ecole" [46.30356380147248,6.457651575445156] 171.32396296826204
2285 "24" "7200002013" 32612 "DR_XLIE1" "Croix du Liege" [46.306376809691315,6.467036924125071] 190.47750882102991
2285 "24" "7200002013" 32613 "DR_MAUG1" "Maugny" [46.31138375020963,6.477802499658273] 183.25098779473953
2285 "24" "7200002013" 32614 "O_STD1" "Stade" [46.31130028430242,6.48538298473877] 153.0375540009786
2285 "24" "7200002013" 32615 "AL_MACH1" "Macheron" [46.32665943109249,6.474492855999093] 238.32066495988525
2285 "24" "7200002013" 32616 "AL_NOYE1" "Noyer" [46.332788402027404,6.477372763703906] 226.95901036494257
2285 "24" "7200002013" 32617 "T_SCOE1" "Sacré Coeur" [46.36259105309672,6.478251134339527] 231.65443806131677
2285 "24" "7200002013" 32618 "T_BDC3" "Les Arts" [46.368043333335514,6.478689999993898] 218.6146450039674
25 "25" "6500000474" 469 "CE_PESS1" "Pessinges" [46.28906621821838,6.4475262653176575] 141.54609713654332
25 "25" "6500000474" 470 "DR_CHEV1" "La Cheville" [46.2964101521684,6.451657271850104] 159.54295285980032
25 "25" "6500000474" 471 "DR_CHL1" "Draillant Ecole" [46.30356380147248,6.457651575445156] 171.32396296826204
25 "25" "6500000474" 472 "DR_XLIE1" "Croix du Liege" [46.306376809691315,6.467036924125071] 190.47750882102991
25 "25" "6500000474" 473 "DR_MAUG1" "Maugny" [46.31138375020963,6.477802499658273] 183.25098779473953
25 "25" "6500000474" 474 "O_STD1" "Stade" [46.31130028430242,6.48538298473877] 153.0375540009786
25 "25" "6500000474" 475 "AL_MACH1" "Macheron" [46.32665943109249,6.474492855999093] 238.32066495988525
25 "25" "6500000474" 476 "AL_NOYE1" "Noyer" [46.332788402027404,6.477372763703906] 226.95901036494257
25 "25" "6500000474" 477 "T_SCOE1" "Sacré Coeur" [46.36259105309672,6.478251134339527] 231.65443806131677
25 "25" "6500000474" 478 "T_BDC4" "Les Arts" [46.36802,6.478479999999999] 215.3380554080149
37 "112" "6500000584" 602 "Y_MOTT2" "Les Mottes" [46.36798098069346,6.338606320299832] 101.89021598374497
37 "112" "6500000584" 603 "Y_PREP2" "Pré Ponce" [46.36826644742533,6.3275862887181145] 134.00479629726135
37 "112" "6500000584" 614 "D_COBCH2" "Collège du Bas Chablais" [46.305454000048414,6.308579000194109] 176.66961984521393
487 "115" "6500001765" 4511 "T_PREC2" "Pré Cergues" [46.37050840775744,6.481325918194801] 483.2888353921
487 "115" "6500001765" 4512 "T_LIBE2" "Libération" [46.369833080697745,6.480897804129489] 425.4131285344061
487 "115" "6500001765" 4513 "T_SCOE2" "Sacré Coeur" [46.36804827827407,6.478175491032088] 390.9342165917452
487 "115" "6500001765" 4514 "T_CHAR2" "Oncion" [46.36716745192599,6.4766165958585935] 466.1761031835212
487 "115" "6500001765" 4515 "T_TASS2" "Tassigny" [46.36646788901997,6.477076888835253] 522.5965518099213
487 "115" "6500001765" 4516 "T_HOPI1" "Hôpital" [46.365089538914695,6.478350665055184] 661.6972099958288
487 "115" "6500001765" 4517 "T_FLEY1" "Fleysets" [46.356931591052486,6.477907486345346] 364.9238037334661
487 "115" "6500001765" 4518 "AL_SOUR2" "Sources" [46.35630788803116,6.4760567993338825] 444.00312126625965
487 "115" "6500001765" 4519 "AL_BOUG2" "Allinges Bougeries haut" [46.35177525611361,6.480901256020162] 180.11208033902128
487 "115" "6500001765" 4520 "AL_MONT2" "Montagnys" [46.35175490327991,6.481511419192154] 349.4842937621444
487 "115" "6500001765" 4521 "AL_ORAT2" "Oratoire" [46.35164788894021,6.484005999780446] 579.5454014273384
487 "115" "6500001765" 4522 "AL_CRES2" "Crestes" [46.35012918076201,6.483843932733022] 624.2964328921818
487 "115" "6500001765" 4523 "AL_CENT2" "Centenaire" [46.34743762962964,6.485325629645582] 587.2133557212621
487 "115" "6500001765" 4524 "AL_LEYR2" "Leyriat" [46.34214569207975,6.483307759496232] 688.4115995461889
487 "115" "6500001765" 4525 "AL_NOYE2" "Noyer" [46.340939688946534,6.481696550927023] 639.2122172976497
487 "115" "6500001765" 4526 "AL_VSF1" "Val Saint-François" [46.33506957976868,6.478902684600485] 694.2758737799693
487 "115" "6500001765" 4527 "AL_EGL2" "Allinges Église" [46.336090067098546,6.473523533759912] 674.4792996762025
487 "115" "6500001765" 4528 "AL_CTON2" "Crêt Tonniaz" [46.33606358838637,6.468524706026547] 673.6612038413798
487 "115" "6500001765" 4529 "AL_COML2" "Commelinges" [46.33503632996163,6.463375199971688] 716.3671280442596
487 "115" "6500001765" 4530 "AL_VALE2" "Valère" [46.33300690611264,6.457639301218007] 715.4733558303445
487 "115" "6500001765" 4531 "AL_MESD1" "Mésinges" [46.33120417924059,6.449940450528359] 622.2261677164936
50 "116" "6500000637" 976 "T_PREC2" "Pré Cergues" [46.37050840775744,6.481325918194801] 483.2888353921
50 "116" "6500000637" 977 "T_LIBE2" "Libération" [46.369833080697745,6.480897804129489] 425.4131285344061
50 "116" "6500000637" 978 "T_SCOE2" "Sacré Coeur" [46.36804827827407,6.478175491032088] 390.9342165917452
50 "116" "6500000637" 979 "T_CHAR2" "Oncion" [46.36716745192599,6.4766165958585935] 466.1761031835212
50 "116" "6500000637" 980 "T_TASS2" "Tassigny" [46.36646788901997,6.477076888835253] 522.5965518099213
stops_match_shape_out_of_order WARNING 1

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.
605 "118" "6500001952" 8560 "T_MARA2" "Marais" [46.3625803857413,6.464370888370572] 8559 "T_PELE2" "Pélerins" [46.3600098,6.459848599999999]
service_window_outside_feed_period INFO 1

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"49_26_Mai_PS_Ma" "2026-06-23" "2026-06-30" 7 0
trip_headsign_matches_intermediate_stop INFO 18

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
3409 "6900001063" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3410 "6900001064" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3411 "6900001065" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3412 "6900001066" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3413 "6900001067" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3414 "6900001068" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3415 "6900001069" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3416 "6900001071" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
3417 "6900001072" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5086 "6800000997" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5087 "6800000998" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5088 "6800000999" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5089 "6800001000" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5090 "6800001002" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5091 "6800001003" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5092 "6800001004" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5093 "6800001005" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
5094 "6800001006" "Les Arts" "T_BDC2" 1 "T_Bdc2d"
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.
"agency.txt" "agency_sort_order" 9
unsorted_stop_times INFO 536

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 536 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"4900001924" 20256 20284
"4900001923" 20227 20255
"4900001922" 20198 20226
"4900001921" 20169 20197
"4900001920" 20140 20168
"4900001929" 20401 20429
"4900001928" 20372 20400
"4900001927" 20343 20371
"4900001926" 20314 20342
"4900001925" 20285 20313
"4900001919" 20111 20139
"4900001918" 20082 20110
"6600000997" 84881 84909
"6600000998" 84910 84938
"6600000999" 84939 84967
"6400001997" 70761 70789
"6400001993" 70645 70673
"6400001994" 70674 70702
"6400001995" 70703 70731
"6400001996" 70732 70760
"6900000680" 48532 48549
"6900000682" 48568 48585
"6900000681" 48550 48567
"6900000684" 48604 48621
"6900000683" 48586 48603
"6900000686" 48640 48657
"6900000685" 48622 48639
"6900000688" 48676 48693
"6900000687" 48658 48675
"6900000679" 48514 48531
"6900000678" 48496 48513
"6400001986" 70442 70470
"6400001987" 70471 70499
"6400001988" 70500 70528
"6400001989" 70529 70557
"6400001982" 70326 70354
"6400001983" 70355 70383
"6400001984" 70384 70412
"6400001985" 70413 70441
"6400001990" 70558 70586
"6400001991" 70587 70615
"6400001992" 70616 70644
"6400001979" 70239 70267
"6400001975" 70123 70151
"6400001976" 70152 70180
"6400001977" 70181 70209
"6400001978" 70210 70238
"6400001971" 70007 70035
"6400001972" 70036 70064
"6400001973" 70065 70093