GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T15:20:28Z,
for the dataset file:///shared/taneo.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. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 343
  • Routes: 42
  • Shapes: 121
  • Stops: 559
  • Trips: 1597

Specification Compliance report

3787 notices reported (47 errors, 3740 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 42

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"183884-H25_26-25H09-Semaine-31-0000100" "NENGARE1" 7734 2.62 11 7733 2.62 10
"177980-H25_26-25H09-Semaine-32" "NEHOPTL1" 22314 2.618 10 22313 2.618 9
"177980-H25_26-25H09-Semaine-32" "MACCIAL1" 22315 2.618 11 22314 2.618 10
"177980-H25_26-25H09-Semaine-32" "NEBANY1" 22316 2.618 12 22315 2.618 11
"183881-H25_26-25H09-Semaine-31" "NENGARE1" 7701 2.62 11 7700 2.62 10
"177984-H25_26-25H09-Semaine-32" "NENGARE1" 22359 2.62 11 22358 2.62 10
"177979-H25_26-25H09-Semaine-32" "NEHOPTL1" 22302 2.618 10 22301 2.618 9
"177979-H25_26-25H09-Semaine-32" "MACCIAL1" 22303 2.618 11 22302 2.618 10
"177979-H25_26-25H09-Semaine-32" "NEBANY1" 22304 2.618 12 22303 2.618 11
"179491-H25_26-25H09-Samedi-21" "NENGARE1" 36757 2.62 11 36756 2.62 10
"177986-H25_26-25H09-Semaine-32" "NENGARE1" 22381 2.62 11 22380 2.62 10
"177988-H25_26-25H09-Semaine-32-0000100" "NENGARE1" 22403 2.62 11 22402 2.62 10
"183883-H25_26-25H09-Semaine-31" "NENGARE1" 7723 2.62 11 7722 2.62 10
"177987-H25_26-25H09-Semaine-32" "NENGARE1" 22392 2.62 11 22391 2.62 10
"179489-H25_26-25H09-Samedi-21" "NENGARE1" 36735 2.62 11 36734 2.62 10
"183886-H25_26-25H09-Semaine-31" "NEHOPTL1" 7756 2.618 10 7755 2.618 9
"183886-H25_26-25H09-Semaine-31" "MACCIAL1" 7757 2.618 11 7756 2.618 10
"183886-H25_26-25H09-Semaine-31" "NEBANY1" 7758 2.618 12 7757 2.618 11
"179490-H25_26-25H09-Samedi-21" "NENGARE1" 36746 2.62 11 36745 2.62 10
"179483-H25_26-25H09-Samedi-21" "NEHOPTL1" 36668 2.618 10 36667 2.618 9
"179483-H25_26-25H09-Samedi-21" "MACCIAL1" 36669 2.618 11 36668 2.618 10
"179483-H25_26-25H09-Samedi-21" "NEBANY1" 36670 2.618 12 36669 2.618 11
"183885-H25_26-25H09-Semaine-31" "NEHOPTL1" 7744 2.618 10 7743 2.618 9
"183885-H25_26-25H09-Semaine-31" "MACCIAL1" 7745 2.618 11 7744 2.618 10
"183885-H25_26-25H09-Semaine-31" "NEBANY1" 7746 2.618 12 7745 2.618 11
"177981-H25_26-25H09-Semaine-32" "NEHOPTL1" 22326 2.618 10 22325 2.618 9
"177981-H25_26-25H09-Semaine-32" "MACCIAL1" 22327 2.618 11 22326 2.618 10
"177981-H25_26-25H09-Semaine-32" "NEBANY1" 22328 2.618 12 22327 2.618 11
"179488-H25_26-25H09-Samedi-21" "NENGARE1" 36724 2.62 11 36723 2.62 10
"183880-H25_26-25H09-Semaine-31" "NENGARE1" 7690 2.62 11 7689 2.62 10
"183887-H25_26-25H09-Semaine-31" "NEHOPTL1" 7768 2.618 10 7767 2.618 9
"183887-H25_26-25H09-Semaine-31" "MACCIAL1" 7769 2.618 11 7768 2.618 10
"183887-H25_26-25H09-Semaine-31" "NEBANY1" 7770 2.618 12 7769 2.618 11
"179482-H25_26-25H09-Samedi-21" "NEHOPTL1" 36656 2.618 10 36655 2.618 9
"179482-H25_26-25H09-Samedi-21" "MACCIAL1" 36657 2.618 11 36656 2.618 10
"179482-H25_26-25H09-Samedi-21" "NEBANY1" 36658 2.618 12 36657 2.618 11
"177985-H25_26-25H09-Semaine-32" "NENGARE1" 22370 2.62 11 22369 2.62 10
"183882-H25_26-25H09-Semaine-31" "NENGARE1" 7712 2.62 11 7711 2.62 10
"179487-H25_26-25H09-Samedi-21" "NENGARE1" 36713 2.62 11 36712 2.62 10
"179484-H25_26-25H09-Samedi-21" "NEHOPTL1" 36680 2.618 10 36679 2.618 9
"179484-H25_26-25H09-Samedi-21" "MACCIAL1" 36681 2.618 11 36680 2.618 10
"179484-H25_26-25H09-Samedi-21" "NEBANY1" 36682 2.618 12 36681 2.618 11
trip_distance_exceeds_shape_distance ERROR 5

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"122238-H25_26-25H09-Semaine-33-1101100" "P100011" 18.266 18.265 11.684340423995259
"122239-H25_26-25H09-Semaine-33-1101100" "P100013" 33.623 33.622 12.365978873759019
"122240-H25_26-25H09-Semaine-33-0010000" "P100013" 33.623 33.622 12.365978873759019
"122265-H25_26-25H09-Semaine-33-1101000" "P20001" 7.113 7.112 17.555593207436765
"122266-H25_26-25H09-Semaine-33-0000100" "P20001" 7.113 7.112 17.555593207436765
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 283

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 283 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.
"P130002" 40388 11.65 240028 40387 11.65 240027 0.37925785453983435
"P130002" 40405 12.088 260001 40404 12.088 250016 0.3231442431045966
"P130002" 40407 12.386 270001 40406 12.386 260002 0.4396718284053626
"P130002" 40766 17.342 390002 40765 17.342 390001 0.15167154448117484
"P130002" 40837 19.116 440013 40836 19.116 440012 0.6167392663124049
"T10028" 61830 1.0 40001 61829 1.0 30020 0.39527184805789806
"T10028" 61885 1.738 60002 61884 1.738 60001 0.23497034720103815
"T10028" 62044 4.329 130014 62043 4.329 130013 0.7903926195152478
"T10028" 62159 5.769 190001 62158 5.769 180013 0.600741155470642
"T10028" 62248 6.926 220002 62247 6.926 220001 0.6333560251630568
"T10028" 62260 7.205 220014 62259 7.205 220013 0.7048970581204582
"T10028" 62464 10.363 330001 62463 10.363 320025 0.5383305853942428
"T10029" 62605 2.332 70013 62604 2.332 70012 0.6167392663124049
"T10029" 62679 3.361 120002 62678 3.361 120001 0.23496568762581518
"T10029" 62730 4.042 140002 62729 4.042 140001 0.5050675281053313
"T10029" 63108 8.992 280001 63107 8.992 270027 0.3231442431045966
"P130001" 39138 0.6 20009 39137 0.6 20008 0.8109263071697184
"P130001" 39199 2.129 70008 39198 2.129 70007 0.253227034052236
"P130001" 39646 10.465 280002 39645 10.465 280001 0.6363943623365296
"P130001" 39737 13.714 310029 39736 13.714 310028 0.7328873114073792
"P130001" 39827 16.275 390001 39826 16.275 380002 0.5559755052564519
"P130001" 39899 17.5 420020 39898 17.5 420019 0.23495349182835532
"P130001" 39930 18.248 450001 39929 18.248 440017 0.4511919521434089
"160001" 29497 4.535 70002 29496 4.535 70001 0.8108403505536936
"30024" 1321 0.41 30001 1320 0.41 20009 0.46832498230548797
"30024" 1327 0.69 40001 1326 0.69 30006 0.4511972314506534
"30024" 1352 1.236 50012 1351 1.236 50011 0.4508472212207013
"30024" 1364 1.396 60006 1363 1.396 60005 0.36643415346780916
"30024" 1368 1.657 60010 1367 1.657 60009 0.23495877750105
"30024" 1379 1.88 70008 1378 1.88 70007 0.4995600137092782
"30024" 1422 2.775 100002 1421 2.775 100001 0.18802711592805696
"30024" 1435 3.011 110002 1434 3.011 110001 0.4511955541662108
"30024" 1651 6.484 190024 1650 6.484 190023 0.23495798041813976
"30024" 1673 7.075 220001 1672 7.075 210008 0.4683181397989695
"30023" 702 0.427 30001 701 0.427 20013 0.600741155470642
"30023" 761 1.032 40037 760 1.032 40036 0.4550820250691328
"30023" 1178 8.964 290002 1177 8.964 290001 0.3950331430776844
"30023" 1218 9.863 310016 1217 9.863 310015 0.4995600137092782
"30023" 1229 10.086 320004 1228 10.086 320003 0.23495877750105
"30023" 1233 10.347 320008 1232 10.347 320007 0.36643415346780916
"30023" 1238 10.453 330004 1237 10.453 330003 0.584424683711482
"30023" 1250 10.525 330016 1249 10.525 330015 0.4508472212207013
"30021" 48 0.879 20016 47 0.879 20015 0.684186845917598
"30021" 69 1.359 50006 68 1.359 50005 0.6460746472392584
"30021" 75 1.543 50012 74 1.543 50011 0.5063876483472356
"30021" 159 3.372 110002 158 3.372 110001 0.18802711592805696
"30021" 388 7.081 200024 387 7.081 200023 0.23495798041813976
"30021" 412 7.948 240001 411 7.948 230002 0.4683379306513311
"30021" 625 11.556 350013 624 11.556 350012 0.89857240909706
"T10030" 63205 0.712 30001 63204 0.712 20013 0.4995965224829983
equal_shape_distance_same_coordinates WARNING 1991

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 1991 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`.
"P130002" 39938 0.236 20001 39937 0.236 10006
"P130002" 39952 0.655 30001 39951 0.655 20014
"P130002" 39967 0.967 40001 39966 0.967 30015
"P130002" 39988 1.411 50001 39987 1.411 40021
"P130002" 40002 1.657 60001 40001 1.657 50014
"P130002" 40022 1.909 70001 40021 1.909 60020
"P130002" 40033 2.188 80001 40032 2.188 70011
"P130002" 40057 2.479 90001 40056 2.479 80024
"P130002" 40064 2.734 100001 40063 2.734 90007
"P130002" 40092 3.106 110001 40091 3.106 100028
"P130002" 40145 4.01 120001 40144 4.01 110053
"P130002" 40159 4.532 130001 40158 4.532 120014
"P130002" 40169 4.858 140001 40168 4.858 130010
"P130002" 40186 5.406 150001 40185 5.406 140017
"P130002" 40215 6.9 160001 40214 6.9 150029
"P130002" 40234 7.528 170001 40233 7.528 160019
"P130002" 40253 7.94 180001 40252 7.94 170019
"P130002" 40281 8.678 190001 40280 8.678 180028
"P130002" 40290 8.979 200001 40289 8.979 190009
"P130002" 40313 9.43 210001 40312 9.43 200023
"P130002" 40328 9.8 220001 40327 9.8 210015
"P130002" 40349 10.689 230001 40348 10.689 220021
"P130002" 40361 11.064 240001 40360 11.064 230012
"P130002" 40389 11.65 250001 40388 11.65 240028
"P130002" 40449 12.798 280001 40448 12.798 270042
"P130002" 40481 13.21 290001 40480 13.21 280032
"P130002" 40501 13.693 300001 40500 13.693 290020
"P130002" 40521 13.987 310001 40520 13.987 300020
"P130002" 40539 14.346 320001 40538 14.346 310018
"P130002" 40557 14.584 330001 40556 14.584 320018
"P130002" 40572 14.91 340001 40571 14.91 330015
"P130002" 40582 15.062 350001 40581 15.062 340010
"P130002" 40641 15.829 360001 40640 15.829 350059
"P130002" 40687 16.251 370001 40686 16.251 360046
"P130002" 40724 16.781 380001 40723 16.781 370037
"P130002" 40765 17.342 390001 40764 17.342 380041
"P130002" 40773 17.604 400001 40772 17.604 390008
"P130002" 40782 17.9 410001 40781 17.9 400009
"P130002" 40789 18.122 420001 40788 18.122 410007
"P130002" 40815 18.605 430001 40814 18.605 420026
"P130002" 40825 18.849 440001 40824 18.849 430010
"P130002" 40838 19.116 450001 40837 19.116 440013
"T10028" 61810 0.644 30001 61809 0.644 20007
"T10028" 61873 1.491 50001 61872 1.491 40043
"T10028" 61884 1.738 60001 61883 1.738 50011
"T10028" 61918 2.132 70001 61917 2.132 60034
"T10028" 61955 2.509 80001 61954 2.509 70037
"T10028" 61971 2.755 90001 61970 2.755 80016
"T10028" 61988 3.124 100001 61987 3.124 90017
"T10028" 62003 3.811 120001 62002 3.811 110002
missing_recommended_field WARNING 42

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
"routes.txt" 20 "agency_id"
"routes.txt" 21 "agency_id"
"routes.txt" 22 "agency_id"
"routes.txt" 23 "agency_id"
"routes.txt" 24 "agency_id"
"routes.txt" 25 "agency_id"
"routes.txt" 26 "agency_id"
"routes.txt" 27 "agency_id"
"routes.txt" 28 "agency_id"
"routes.txt" 29 "agency_id"
"routes.txt" 30 "agency_id"
"routes.txt" 31 "agency_id"
"routes.txt" 32 "agency_id"
"routes.txt" 33 "agency_id"
"routes.txt" 34 "agency_id"
"routes.txt" 35 "agency_id"
"routes.txt" 36 "agency_id"
"routes.txt" 37 "agency_id"
"routes.txt" 38 "agency_id"
"routes.txt" 39 "agency_id"
"routes.txt" 40 "agency_id"
"routes.txt" 41 "agency_id"
"routes.txt" 42 "agency_id"
"routes.txt" 43 "agency_id"
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 857

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 857 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.
"stops.txt" "stop_name" "LPA / LEGTA" 14
"stops.txt" "stop_name" "LPA / LEGTA" 15
"trips.txt" "trip_headsign" "4 CHEMINEES" 3
"trips.txt" "trip_headsign" "4 CHEMINEES" 4
"trips.txt" "trip_headsign" "4 CHEMINEES" 5
"trips.txt" "trip_headsign" "4 CHEMINEES" 9
"trips.txt" "trip_headsign" "NEVERS GARE" 35
"trips.txt" "trip_headsign" "NEVERS GARE" 36
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 37
"trips.txt" "trip_headsign" "NEVERS GARE" 38
"trips.txt" "trip_headsign" "NEVERS GARE" 39
"trips.txt" "trip_headsign" "NEVERS GARE" 40
"trips.txt" "trip_headsign" "NEVERS GARE" 41
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 42
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 43
"trips.txt" "trip_headsign" "NEVERS GARE" 44
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 45
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 46
"trips.txt" "trip_headsign" "FRONT DE LOIRE" 47
"trips.txt" "trip_headsign" "NEVERS GARE" 104
"trips.txt" "trip_headsign" "NEVERS GARE" 105
"trips.txt" "trip_headsign" "NEVERS GARE" 106
"trips.txt" "trip_headsign" "NEVERS GARE" 107
"trips.txt" "trip_headsign" "NEVERS GARE" 108
"trips.txt" "trip_headsign" "NEVERS GARE" 109
"trips.txt" "trip_headsign" "NEVERS GARE" 110
"trips.txt" "trip_headsign" "NEVERS GARE" 111
"trips.txt" "trip_headsign" "NEVERS GARE" 112
"trips.txt" "trip_headsign" "NEVERS GARE" 113
"trips.txt" "trip_headsign" "NEVERS GARE" 114
"trips.txt" "trip_headsign" "NEVERS GARE" 115
"trips.txt" "trip_headsign" "NEVERS GARE" 116
"trips.txt" "trip_headsign" "NEVERS GARE" 117
"trips.txt" "trip_headsign" "NEVERS GARE" 118
"trips.txt" "trip_headsign" "NEVERS GARE" 119
"trips.txt" "trip_headsign" "NEVERS GARE" 120
"trips.txt" "trip_headsign" "NEVERS GARE" 121
"trips.txt" "trip_headsign" "NEVERS GARE" 122
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 123
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 124
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 125
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 126
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 127
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 128
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 129
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 130
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 131
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 132
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 133
"trips.txt" "trip_headsign" "VAUZELLES EGLISE" 134
route_color_contrast WARNING 2

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.
"12-22" 6 "#9FD6F6" "#FFFFFF"
"P8-16" 31 "#8000FF" "#000000"
stop_too_far_from_shape_using_user_distance WARNING 11

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.
286 "NOCO0004" "183885-H25_26-25H09-Semaine-31" 7744 "NEHOPTL1" "Hôpital Bérégovoy" [46.9886902352964,3.1504875882591126] 2179.788784805723
286 "NOCO0004" "183885-H25_26-25H09-Semaine-31" 7745 "MACCIAL1" "Centre Commercial" [46.9886902352964,3.1504875882591126] 3424.074977182417
286 "NOCO0004" "183885-H25_26-25H09-Semaine-31" 7746 "NEBANY1" "Banlay" [46.9886902352964,3.1504875882591126] 1789.3225081333348
1023 "P10B0001" "122241-H25_26-25H09-Semaine-33-1000000" 27410 "SESTANT1" "St Antoine" [46.969501,3.1567289999999995] 103.18930497733386
1034 "P120001" "122252-H25_26-25H09-Semaine-33-1101100" 27554 "SESTANT1" "St Antoine" [46.9694858,3.156728599999829] 101.49921622890075
10 "100031" "183601-H25_26-25H09-Semaine-31" 224 "SESTANT1" "St Antoine" [46.969493400000005,3.156728799999887] 102.34425916113895
281 "NOCE0004" "183880-H25_26-25H09-Semaine-31" 7690 "NENGARE1" "Nevers Gares" [47.00355462500565,3.1591406250042398] 1774.812867341285
1070 "SP20001" "122292-H25_26-25H09-Semaine-33-1101100" 28257 "SESTANT1" "St Antoine" [46.96950975,3.156729] 104.16225976717885
1071 "SP20002" "122293-H25_26-25H09-Semaine-33-1101100" 28269 "SESTANT1" "St Antoine" [46.969501,3.1567289999999995] 103.18930497733386
2 "100001" "183593-H25_26-25H09-Semaine-31" 22 "SESTANT1" "St Antoine" [46.969493400000005,3.156728799999887] 102.34425916113895
3 "100002" "183594-H25_26-25H09-Semaine-31" 50 "SESTANT1" "St Antoine" [46.969493400000005,3.156728799999887] 102.34425916113895
trip_distance_exceeds_shape_distance_below_threshold WARNING 553

trip_distance_exceeds_shape_distance_below_threshold

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

You can see more about this notice here.

Only the first 50 of 553 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"183593-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183594-H25_26-25H09-Semaine-31" "100002" 32.267 32.265 7.320240109541751
"183597-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183598-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183599-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183600-H25_26-25H09-Semaine-31" "100002" 32.267 32.265 7.320240109541751
"183601-H25_26-25H09-Semaine-31" "100031" 15.165 15.162 5.496552919972273
"183602-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183603-H25_26-25H09-Semaine-31" "100001" 15.165 15.162 5.496552919972273
"183605-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183606-H25_26-25H09-Semaine-31" "100025" 30.808 30.806 4.539931838279221
"183607-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183608-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183609-H25_26-25H09-Semaine-31" "100025" 30.808 30.806 4.539931838279221
"183610-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183611-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183612-H25_26-25H09-Semaine-31" "100030" 14.522 14.521 4.539931838279221
"183613-H25_26-25H09-Semaine-31" "120012" 18.578 18.577 2.810316390286541
"183614-H25_26-25H09-Semaine-31" "120012" 18.578 18.577 2.810316390286541
"183615-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183616-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183617-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183618-H25_26-25H09-Semaine-31" "120011" 17.34 17.339 4.932922344226846
"183619-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183620-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183621-H25_26-25H09-Semaine-31" "120013" 17.34 17.339 4.932922344226846
"183622-H25_26-25H09-Semaine-31" "120014" 18.578 18.577 2.810316390286541
"183623-H25_26-25H09-Semaine-31" "120012" 18.578 18.577 2.810316390286541
"183625-H25_26-25H09-Semaine-31" "120014" 18.578 18.577 2.810316390286541
"183626-H25_26-25H09-Semaine-31" "120014" 18.578 18.577 2.810316390286541
"183627-H25_26-25H09-Semaine-31" "120014" 18.578 18.577 2.810316390286541
"183645-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183646-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183647-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183648-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183649-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183650-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183651-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183652-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183653-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183654-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183655-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183656-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183657-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183658-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183659-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183660-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183661-H25_26-25H09-Semaine-31" "140012" 12.398 12.396 5.040776120416667
"183662-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633
"183663-H25_26-25H09-Semaine-31" "140011" 9.012 9.011 8.227516352105633