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horaires-theoriques-et-temps — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-02T22:26:47Z,
for the dataset file:///shared/horaires-theoriques-et-temps_f98ac549.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
RD Béziers Méditerranée
Publisher URL:
https://beemob.fr/fr/
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-09-01
Feed End Date:
2026-10-18

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: 29
  • Shapes: 55
  • Stops: 611
  • Trips: 2583

Specification Compliance report

2979 notices reported (0 errors, 2421 warnings, 558 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2283

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 2283 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.
"44" 8412 0.345 14 8411 0.345 13 9.138870682102408E-10
"44" 8414 0.347 16 8413 0.347 15 2.1691820291703634E-9
"44" 8425 0.657 27 8424 0.657 26 0.7471192699174075
"44" 8426 0.657 28 8425 0.657 27 7.253608379192367E-10
"44" 8435 0.828 37 8434 0.828 36 7.422650605868549E-10
"44" 8437 0.829 39 8436 0.829 38 0.2023061390230872
"44" 8446 1.156 48 8445 1.156 47 1.6431809103091733E-9
"44" 8448 1.159 50 8447 1.159 49 1.0233084632237838E-9
"44" 8477 1.581 79 8476 1.581 78 2.8936561048505043E-10
"44" 8479 1.582 81 8478 1.582 80 0.20581659510813466
"44" 8484 1.808 86 8483 1.808 85 1.0003021884987362E-9
"44" 8486 1.813 88 8485 1.813 87 9.323716772072705E-10
"44" 8493 2.396 95 8492 2.396 94 1.4581810895454145E-9
"88" 10847 0.0 2 10846 0.0 1 0.258867588066354
"88" 10852 0.584 7 10851 0.584 6 1.475104729267173E-9
"88" 10853 0.584 8 10852 0.584 7 0.10977374108725811
"88" 10854 0.584 9 10853 0.584 8 0.10977374186720773
"88" 10857 0.738 12 10856 0.738 11 9.32401989730355E-10
"88" 10859 0.738 14 10858 0.738 13 9.32401989730355E-10
"88" 10863 1.041 18 10862 1.041 17 0.26443253140850503
"88" 10865 1.044 20 10864 1.044 19 2.1691880598053847E-9
"88" 10869 1.327 24 10868 1.327 23 1.3182056989865141E-9
"88" 10870 1.327 25 10869 1.327 24 0.19567803377490856
"88" 10871 1.327 26 10870 1.327 25 0.1956780350908444
"88" 10896 2.33 51 10895 2.33 50 0.30245965891344045
"88" 10897 2.33 52 10896 2.33 51 3.536663416708128E-10
"88" 10905 2.787 60 10904 2.787 59 0.2599702483100738
"88" 10906 2.787 61 10905 2.787 60 8.215941675208095E-10
"88" 10920 3.436 75 10919 3.436 74 8.384149424871939E-10
"88" 10922 3.437 77 10921 3.437 76 0.37291320568277875
"88" 10954 4.234 109 10953 4.234 108 1.0707242679081223E-9
"88" 10956 4.234 111 10955 4.234 110 1.0707242679081223E-9
"88" 10961 4.454 116 10960 4.454 115 8.359843359433433E-10
"88" 10966 4.778 121 10965 4.778 120 0.44931780616740497
"88" 10967 4.778 122 10966 4.778 121 7.331612407151569E-10
"88" 10974 5.145 129 10973 5.145 128 0.10415993912342797
"88" 10975 5.145 130 10974 5.145 129 0.23404352638419734
"88" 10976 5.145 131 10975 5.145 130 0.1298940715628116
"45" 11301 0.345 14 11300 0.345 13 9.138870682102408E-10
"45" 11303 0.347 16 11302 0.347 15 2.1691820291703634E-9
"45" 11314 0.657 27 11313 0.657 26 0.7471192699174075
"45" 11315 0.657 28 11314 0.657 27 7.253608379192367E-10
"45" 11324 0.828 37 11323 0.828 36 7.422650605868549E-10
"45" 11326 0.829 39 11325 0.829 38 0.2023061390230872
"45" 11335 1.156 48 11334 1.156 47 1.6431809103091733E-9
"45" 11337 1.159 50 11336 1.159 49 1.0233084632237838E-9
"45" 11349 1.361 62 11348 1.361 61 7.331603796145761E-10
"45" 11351 1.361 64 11350 1.361 63 7.331603796145761E-10
"45" 11368 1.752 81 11367 1.752 80 0.30862616923554287
"45" 11369 1.752 82 11368 1.752 81 0.30862616655950537
equal_shape_distance_same_coordinates WARNING 90

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 90 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" 10858 0.738 13 10857 0.738 12
"88" 10955 4.234 110 10954 4.234 109
"45" 11350 1.361 63 11349 1.361 62
"45" 11385 2.119 98 11384 2.119 97
"46" 11943 3.695 106 11942 3.695 105
"90" 9622 1.383 31 9621 1.383 30
"90" 9743 5.401 152 9742 5.401 151
"91" 857 6.457 167 856 6.457 166
"91" 1008 12.293 318 1007 12.293 317
"91" 1198 20.019 508 1197 20.019 507
"51" 1403 2.843 82 1402 2.843 81
"51" 1500 6.339 179 1499 6.339 178
"96" 5879 12.035 239 5878 12.035 238
"53" 10571 9.634 140 10570 9.634 139
"57" 12504 6.857 265 12503 6.857 264
"57" 12598 8.835 359 12597 8.835 358
"57" 12734 11.986 495 12733 11.986 494
"19" 7808 1.256 57 7807 1.256 56
"19" 7959 5.993 208 7958 5.993 207
"19" 7976 6.647 225 7975 6.647 224
"19" 7992 7.303 241 7991 7.303 240
"3" 3883 7.686 91 3882 7.686 90
"60" 11122 2.782 101 11121 2.782 100
"60" 11270 7.054 249 11269 7.054 248
"62" 15944 2.768 102 15943 2.768 101
"62" 15951 2.887 109 15950 2.887 108
"65" 3492 1.26 28 3491 1.26 27
"65" 3659 5.612 195 3658 5.612 194
"65" 3737 7.413 273 3736 7.413 272
"21" 6158 1.413 63 6157 1.413 62
"21" 6249 4.316 154 6248 4.316 153
"66" 4519 0.214 8 4518 0.214 7
"66" 4548 1.314 37 4547 1.314 36
"22" 6754 1.413 63 6753 1.413 62
"22" 6849 4.316 158 6848 4.316 157
"22" 7034 8.793 343 7033 8.793 342
"67" 2760 2.804 124 2759 2.804 123
"67" 2815 4.292 179 2814 4.292 178
"67" 2837 4.641 201 2836 4.641 200
"67" 2906 6.474 270 2905 6.474 269
"67" 2929 7.127 293 2928 7.127 292
"68" 5108 2.719 84 5107 2.719 83
"68" 5214 6.377 190 5213 6.377 189
"24" 7534 1.713 74 7533 1.713 73
"25" 290 1.209 40 289 1.209 39
"25" 437 5.979 187 436 5.979 186
"25" 583 9.584 333 582 9.584 332
"69" 4724 1.485 44 4723 1.485 43
"69" 4891 5.837 211 4890 5.837 210
"69" 4969 7.638 289 4968 7.638 288
expired_calendar WARNING 3

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 "41_SAMEDI_ETE_2"
3 "42_DIMANCHE_ETE"
4 "43_LMMJV_ETE_20"
fast_travel_between_consecutive_stops WARNING 4

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
1823 "47000595" "11" 155.21352437976313 0.2155743394163377 48030 17 "JEAN_2" "Jean Moulin" "11:15:55" 48031 18 "MAUPAS" "Maupassant" "11:16:00"
734 "46001261" "11" 155.21352437976313 0.2155743394163377 48030 17 "JEAN_2" "Jean Moulin" "11:15:55" 48031 18 "MAUPAS" "Maupassant" "11:16:00"
1825 "47000597" "11" 155.21352437976313 0.2155743394163377 48118 17 "JEAN_2" "Jean Moulin" "12:26:10" 48119 18 "MAUPAS" "Maupassant" "12:26:15"
736 "46001263" "11" 155.21352437976313 0.2155743394163377 48118 17 "JEAN_2" "Jean Moulin" "12:26:10" 48119 18 "MAUPAS" "Maupassant" "12:26:15"
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 1

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.
"stops.txt" "stop_name" "coopérative" 150
service_has_no_active_day_of_the_week WARNING 7

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 "41_SAMEDI_ETE_2"
3 "42_DIMANCHE_ETE"
4 "43_LMMJV_ETE_20"
5 "46_LMJV_SCOLAIR"
6 "47_MERCREDI_SCO"
7 "48_Samedi_V2"
8 "49_Dimanche_JF_"
stop_too_far_from_shape WARNING 1

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.
192 "102" "46000300" 6739 "SUPER3" "Supermarché" [43.42229,3.3133000000000004] 118.7154034109284
stop_too_far_from_shape_using_user_distance WARNING 31

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.
521 "88" "46000898" 13759 "P_DAR" "P. Dardé" [43.337222500035224,3.202196250159797] 136.94205216598723
429 "90" "46000780" 10983 "P_DAR" "P. Dardé" [43.33729079168219,3.2021393115820165] 129.6721939474346
94 "51" "46000160" 3422 "P_DAR" "P. Dardé" [43.33729079168219,3.2021393115820165] 129.6721939474346
631 "52" "46001063" 15566 "NOEL" "Noël" [43.36401015906019,3.255114049408224] 122.71737045372497
517 "53" "46000894" 13689 "SUPER3" "Supermarché" [43.422429200230106,3.3130792005499843] 141.31756001238307
197 "3" "46000331" 6838 "SUPER3" "Supermarché" [43.4223314286843,3.3132342859840964] 125.40331145947313
750 "4" "46001279" 19464 "SUPER3" "Supermarché" [43.4223314286843,3.3132342859840964] 125.40331145947313
750 "4" "46001279" 19467 "NOEL" "Noël" [43.36408230219105,3.255063693749205] 116.98328324801253
820 "62" "46001366" 20967 "NOEL" "Noël" [43.36393,3.25517] 129.52433895851735
303 "31" "46000562" 9278 "RUE_DE" "Rue Des Écoles" [43.367905416748755,3.2466425002934054] 106.1251951285752
776 "78" "46001309" 20041 "RUE_D2" "Rue Des Écoles" [43.36779719514213,3.246752439097038] 133.35063700492535
99 "83" "46000186" 3540 "GOUNO1" "Gounod" [43.34248785278764,3.224528997185052] 110.21739750026312
99 "83" "46000186" 3541 "IMMAC1" "Immaculée Conception" [43.34098000073063,3.22520577997811] 114.29469734554688
99 "83" "46000186" 3542 "BAZIN" "Bazin" [43.33967125931623,3.2268733756607695] 114.79512205527269
99 "83" "46000186" 3543 "PLACE4" "Place Injalbert" [43.338471393392766,3.2287929118543826] 115.61901236231681
99 "83" "46000186" 3544 "FARMAN" "Farman" [43.338178444871296,3.232837777968508] 115.19316123867914
99 "83" "46000186" 3545 "JEAN_P" "Jean Perrin" [43.34152081646361,3.2375560526622973] 114.64668328997512
99 "83" "46000186" 3546 "VILLON" "Villon" [43.342801443378,3.2385188475843245] 118.92583683104287
99 "83" "46000186" 3547 "NOBEL1" "Nobel" [43.34180239203613,3.24387173868038] 117.57940105481055
99 "83" "46000186" 3548 "MENDE1" "Mendès France" [43.341326666759976,3.2476871429600482] 116.2642124931873
99 "83" "46000186" 3549 "FOUCA1" "Foucault" [43.3423800001186,3.250425000217425] 100.01162974391893
99 "83" "46000186" 3551 "LES_F1" "Les Feuillantines" [43.34450592748494,3.249773248330882] 117.81442334721527
99 "83" "46000186" 3552 "BAYOU1" "Bayou" [43.34454000514087,3.252036284152987] 118.28597375918653
99 "83" "46000186" 3554 "BIR_HA" "Bir Hakeim" [43.34285400005504,3.2578320002775176] 100.43778344378845
99 "83" "46000186" 3555 "MONTE" "Monte Cassino" [43.33854389225587,3.259692875332441] 117.1545990049131
99 "83" "46000186" 3556 "OLYMP1" "Olympiades" [43.33448000007977,3.2616505882352946] 116.3811693651373
99 "83" "46000186" 3558 "C_CIA" "C. Cial Montimaran" [43.34064666667141,3.2641566666641046] 144.82838768014403
215 "84" "46000414" 7079 "CUGNOT" "Cugnot" [43.370098733938654,3.2173538279469085] 130.85032020360273
693 "40" "46001200" 17758 "CUGNO1" "Cugnot" [43.370080606188615,3.2172730302061345] 152.30485017682682
209 "42" "46000387" 7035 "P_DAR" "P. Dardé" [43.33729079168219,3.2021393115820165] 129.6721939474346
2 "87" "46000031" 13 "P_DAR" "P. Dardé" [43.337222500035224,3.202196250159797] 136.94205216598723
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).
"46_LMJV_SCOLAIR" "2026-08-31" "2026-10-16" 1 0
trip_headsign_matches_intermediate_stop INFO 520

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.

Only the first 50 of 520 affected records are displayed below.

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.
198 "46000355" "Verdun - gare SNCF" "GARE_3" 1 "VERDU2"
199 "46000356" "Verdun - gare SNCF" "GARE_3" 1 "VERDU2"
205 "46000369" "K. Adenauer" "KAD13" 1 "KAD12"
206 "46000370" "K. Adenauer" "KAD13" 1 "KAD12"
278 "46000523" "Mercorent" "MERCOR" 33 "Mercoren"
279 "46000524" "Mercorent" "MERCOR" 33 "Mercoren"
280 "46000525" "Mercorent" "MERCOR" 33 "Mercoren"
281 "46000526" "Mercorent" "MERCOR" 33 "Mercoren"
282 "46000527" "Mercorent" "MERCOR" 33 "Mercoren"
283 "46000528" "Mercorent" "MERCOR" 33 "Mercoren"
284 "46000529" "Mercorent" "MERCOR" 33 "Mercoren"
285 "46000530" "Mercorent" "MERCOR" 33 "Mercoren"
286 "46000531" "Mercorent" "MERCOR" 33 "Mercoren"
287 "46000532" "Mercorent" "MERCOR" 33 "Mercoren"
288 "46000533" "Mercorent" "MERCOR" 33 "Mercoren"
289 "46000534" "Mercorent" "MERCOR" 33 "Mercoren"
290 "46000535" "Mercorent" "MERCOR" 33 "Mercoren"
291 "46000536" "Mercorent" "MERCOR" 33 "Mercoren"
292 "46000537" "Mercorent" "MERCOR" 33 "Mercoren"
293 "46000538" "Mercorent" "MERCOR" 33 "Mercoren"
294 "46000539" "Mercorent" "MERCOR" 33 "Mercoren"
295 "46000540" "Mercorent" "MERCOR" 33 "Mercoren"
296 "46000541" "Mercorent" "MERCOR" 33 "Mercoren"
297 "46000542" "Mercorent" "MERCOR" 33 "Mercoren"
298 "46000543" "Mercorent" "MERCOR" 33 "Mercoren"
299 "46000544" "Mercorent" "MERCOR" 33 "Mercoren"
300 "46000545" "Mercorent" "MERCOR" 33 "Mercoren"
301 "46000546" "Mercorent" "MERCOR" 33 "Mercoren"
302 "46000547" "Mercorent" "MERCOR" 33 "Mercoren"
331 "46000605" "de Gaulle" "DEGA11" 1 "DEG11"
332 "46000607" "de Gaulle" "DEGA11" 1 "DEG11"
333 "46000608" "de Gaulle" "DEGA11" 1 "DEG11"
334 "46000609" "de Gaulle" "DEGA11" 1 "DEG11"
335 "46000610" "de Gaulle" "DEGA11" 1 "DEG11"
336 "46000611" "de Gaulle" "DEGA11" 1 "DEG11"
337 "46000612" "de Gaulle" "DEGA11" 1 "DEG11"
338 "46000613" "de Gaulle" "DEGA11" 1 "DEG11"
339 "46000614" "de Gaulle" "DEGA11" 1 "DEG11"
340 "46000615" "de Gaulle" "DEGA11" 1 "DEG11"
341 "46000616" "de Gaulle" "DEGA11" 1 "DEG11"
342 "46000617" "de Gaulle" "DEGA11" 1 "DEG11"
343 "46000618" "de Gaulle" "DEGA11" 1 "DEG11"
344 "46000619" "de Gaulle" "DEGA11" 1 "DEG11"
345 "46000620" "de Gaulle" "DEGA11" 1 "DEG11"
346 "46000621" "de Gaulle" "DEGA11" 1 "DEG11"
347 "46000622" "de Gaulle" "DEGA11" 1 "DEG11"
348 "46000623" "de Gaulle" "DEGA11" 1 "DEG11"
349 "46000625" "de Gaulle" "DEGA11" 1 "DEG11"
350 "46000626" "de Gaulle" "DEGA11" 1 "DEG11"
351 "46000627" "de Gaulle" "DEGA11" 1 "DEG11"
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 36

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.

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.
"46000898" 13748 13760
"46000899" 13761 13773
"46000031" 2 23
"46001360" 20927 20950
"46001352" 20735 20758
"46001351" 20711 20734
"46001354" 20783 20806
"46001353" 20759 20782
"46001356" 20831 20854
"46001355" 20807 20830
"46001358" 20879 20902
"46001357" 20855 20878
"46001359" 20903 20926
"46001350" 20687 20710
"46001345" 20567 20590
"46001347" 20615 20638
"46001346" 20591 20614
"46001349" 20663 20686
"46001348" 20639 20662
"47000345" 43228 43251
"47000344" 43204 43227
"47000341" 43180 43203
"47000340" 43156 43179
"47000349" 43324 43347
"47000348" 43300 43323
"47000347" 43276 43299
"47000346" 43252 43275
"47000334" 43012 43035
"47000333" 42988 43011
"47000332" 42964 42987
"47000339" 43132 43155
"47000338" 43108 43131
"47000337" 43084 43107
"47000336" 43060 43083
"47000335" 43036 43059
"47000316" 42890 42911