GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-07T16:43:00Z,
for the dataset file:///tmp/1_in.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 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: 3
  • Blocks: 1
  • Routes: 92
  • Shapes: 325
  • Stops: 2301
  • Trips: 9875

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.


ShapesRoute ColorsHeadsignsWheelchair AccessibilityBikes AllowanceLocation Types

Specification Compliance report

11659 notices reported (11278 errors, 381 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 2160

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.

Only the first 50 of 2160 affected records are displayed below.

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`.
"5413949-23HIV01-MULTISAE-Semaine-35" "hdvc02" 43003 11288.644 4 43002 11288.644 3
"5413949-23HIV01-MULTISAE-Semaine-35" "stasb01" 43004 11288.644 5 43003 11288.644 4
"5413949-23HIV01-MULTISAE-Semaine-35" "chdc01" 43005 11288.644 6 43004 11288.644 5
"5413949-23HIV01-MULTISAE-Semaine-35" "tl.2" 43006 11288.644 7 43005 11288.644 6
"5413949-23HIV01-MULTISAE-Semaine-35" "pc02" 43007 11288.644 8 43006 11288.644 7
"5413949-23HIV01-MULTISAE-Semaine-35" "qulo02" 43008 11288.644 9 43007 11288.644 8
"5413949-23HIV01-MULTISAE-Semaine-35" "pril01" 43009 11288.644 10 43008 11288.644 9
"5413949-23HIV01-MULTISAE-Semaine-35" "biat01" 43010 11288.644 11 43009 11288.644 10
"5413949-23HIV01-MULTISAE-Semaine-35" "rorn11" 43011 11288.644 12 43010 11288.644 11
"5413949-23HIV01-MULTISAE-Semaine-35" "quha11" 43012 11288.644 13 43011 11288.644 12
"5413949-23HIV01-MULTISAE-Semaine-35" "pl3601" 43013 11288.644 14 43012 11288.644 13
"5413949-23HIV01-MULTISAE-Semaine-35" "sj01" 43014 11288.644 15 43013 11288.644 14
"5413949-23HIV01-MULTISAE-Semaine-35" "th32" 43015 11288.644 16 43014 11288.644 15
"5413949-23HIV01-MULTISAE-Semaine-35" "ecuy01" 43016 11288.644 17 43015 11288.644 16
"5413949-23HIV01-MULTISAE-Semaine-35" "cons02" 43017 11288.644 18 43016 11288.644 17
"5413949-23HIV01-MULTISAE-Semaine-35" "lyma12" 43018 11288.644 19 43017 11288.644 18
"5877697-23HIV01-MULTISAE-Samedi-35" "hdvc02" 43465 11288.644 4 43464 11288.644 3
"5877697-23HIV01-MULTISAE-Samedi-35" "stasb01" 43466 11288.644 5 43465 11288.644 4
"5877697-23HIV01-MULTISAE-Samedi-35" "chdc01" 43467 11288.644 6 43466 11288.644 5
"5877697-23HIV01-MULTISAE-Samedi-35" "tl.2" 43468 11288.644 7 43467 11288.644 6
"5877697-23HIV01-MULTISAE-Samedi-35" "pc02" 43469 11288.644 8 43468 11288.644 7
"5877697-23HIV01-MULTISAE-Samedi-35" "qulo02" 43470 11288.644 9 43469 11288.644 8
"5877697-23HIV01-MULTISAE-Samedi-35" "pril01" 43471 11288.644 10 43470 11288.644 9
"5877697-23HIV01-MULTISAE-Samedi-35" "biat01" 43472 11288.644 11 43471 11288.644 10
"5877697-23HIV01-MULTISAE-Samedi-35" "rorn11" 43473 11288.644 12 43472 11288.644 11
"5877697-23HIV01-MULTISAE-Samedi-35" "quha11" 43474 11288.644 13 43473 11288.644 12
"5877697-23HIV01-MULTISAE-Samedi-35" "pl3601" 43475 11288.644 14 43474 11288.644 13
"5877697-23HIV01-MULTISAE-Samedi-35" "sj01" 43476 11288.644 15 43475 11288.644 14
"5877697-23HIV01-MULTISAE-Samedi-35" "th32" 43477 11288.644 16 43476 11288.644 15
"5877697-23HIV01-MULTISAE-Samedi-35" "ecuy01" 43478 11288.644 17 43477 11288.644 16
"5877697-23HIV01-MULTISAE-Samedi-35" "cons02" 43479 11288.644 18 43478 11288.644 17
"5877697-23HIV01-MULTISAE-Samedi-35" "lyma12" 43480 11288.644 19 43479 11288.644 18
"5381843-23HIV01-MULTISAE-Pastel-15" "hdvc02" 42226 11288.644 4 42225 11288.644 3
"5381843-23HIV01-MULTISAE-Pastel-15" "stasb01" 42227 11288.644 5 42226 11288.644 4
"5381843-23HIV01-MULTISAE-Pastel-15" "chdc01" 42228 11288.644 6 42227 11288.644 5
"5381843-23HIV01-MULTISAE-Pastel-15" "tl.2" 42229 11288.644 7 42228 11288.644 6
"5381843-23HIV01-MULTISAE-Pastel-15" "pc02" 42230 11288.644 8 42229 11288.644 7
"5381843-23HIV01-MULTISAE-Pastel-15" "qulo02" 42231 11288.644 9 42230 11288.644 8
"5381843-23HIV01-MULTISAE-Pastel-15" "pril01" 42232 11288.644 10 42231 11288.644 9
"5381843-23HIV01-MULTISAE-Pastel-15" "biat01" 42233 11288.644 11 42232 11288.644 10
"5381843-23HIV01-MULTISAE-Pastel-15" "rorn11" 42234 11288.644 12 42233 11288.644 11
"5381843-23HIV01-MULTISAE-Pastel-15" "quha11" 42235 11288.644 13 42234 11288.644 12
"5381843-23HIV01-MULTISAE-Pastel-15" "pl3601" 42236 11288.644 14 42235 11288.644 13
"5381843-23HIV01-MULTISAE-Pastel-15" "sj01" 42237 11288.644 15 42236 11288.644 14
"5381843-23HIV01-MULTISAE-Pastel-15" "th32" 42238 11288.644 16 42237 11288.644 15
"5381843-23HIV01-MULTISAE-Pastel-15" "ecuy01" 42239 11288.644 17 42238 11288.644 16
"5381843-23HIV01-MULTISAE-Pastel-15" "cons02" 42240 11288.644 18 42239 11288.644 17
"5381843-23HIV01-MULTISAE-Pastel-15" "lyma12" 42241 11288.644 19 42240 11288.644 18
"5877731-23HIV01-MULTISAE-Samedi-35" "hdvc02" 44179 11288.644 4 44178 11288.644 3
"5877731-23HIV01-MULTISAE-Samedi-35" "stasb01" 44180 11288.644 5 44179 11288.644 4
trip_distance_exceeds_shape_distance ERROR 9118

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.

Only the first 50 of 9118 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.
"5786303-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786304-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786305-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786306-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786307-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786308-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786320-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786321-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786322-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786323-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786324-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786325-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786377-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786378-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786379-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786380-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786381-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786382-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786384-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786387-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786391-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786394-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786410-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786411-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786412-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786419-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786431-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786432-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786444-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786449-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786452-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786461-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786462-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786471-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786476-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786485-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786490-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786496-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786504-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786511-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786521-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786523-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786530-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786532-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786537-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786551-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786552-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786556-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786563-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
"5786568-23HIV01-T1T2T3-Samedi-10" "T1_CBD7C08AB372C7F6DC71999BF07C8BD2" 13795.925 0.0 6157.6688179666435
expired_calendar WARNING 15

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 "23HIV01-MULTISST-Mercredi-02-0010000"
7 "23HIV01-T1T2T3-Semaine-20"
8 "23HIV01-MULTISST-Vendredi-01"
9 "23HIV01-MULTIPRT-Semaine-10"
10 "23HIV01-MULTISST-Jeudi-02-0001000"
12 "23HIV01-MULTISST-Mercredi-02"
13 "23HIV01-B1B2B3-Pastel-10"
15 "23HIV01-MULTISAE-Pastel-15"
17 "23HIV01-MULTISST-Mardi-02-0100000"
19 "23HIV01-MULTISST-Mardi-02"
21 "23HIV01-MULTISST-Vendredi-01-0000100"
23 "23HIV01-MULTISST-Jeudi-02"
24 "23HIV01-MULTISST-Lundi-01"
25 "23HIV01-MULTISST-Lundi-01-1000000"
28 "1089"
fast_travel_between_consecutive_stops WARNING 12

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.
7680 "5419608-23HIV01-MULTAX-Dimanche-03" "31" 151.0193872650474 2.51698978775079 237099 1 "bure01" "Bures" "13:45:00" 237100 2 "trsup01" "Ancienne Gare" "13:45:00"
7680 "5419608-23HIV01-MULTAX-Dimanche-03" "31" 198.37012426416018 3.306168737736003 237105 7 "koeni01" "Plains Champs" "13:45:00" 237106 8 "msau01" "Mont du Saule" "13:45:00"
7679 "5419607-23HIV01-MULTAX-Dimanche-03" "31" 151.0193872650474 2.51698978775079 237087 1 "bure01" "Bures" "09:45:00" 237088 2 "trsup01" "Ancienne Gare" "09:45:00"
7679 "5419607-23HIV01-MULTAX-Dimanche-03" "31" 198.37012426416018 3.306168737736003 237093 7 "koeni01" "Plains Champs" "09:45:00" 237094 8 "msau01" "Mont du Saule" "09:45:00"
7682 "5419610-23HIV01-MULTAX-Dimanche-03" "31" 729.3268725812813 12.155447876354689 237124 2 "gasn12" "Gare SNCF" "18:17:00" 237125 3 "koeni02" "Plains Champs" "18:17:00"
7682 "5419610-23HIV01-MULTAX-Dimanche-03" "31" 174.13895343794113 2.902315890632352 237126 4 "stad02" "Troarn Stade" "18:17:00" 237127 5 "msau02" "Mont du Saule" "18:17:00"
7682 "5419610-23HIV01-MULTAX-Dimanche-03" "31" 153.99361359772712 2.566560226628785 237128 6 "sabo02" "Sannerville Bourg" "18:17:00" 237129 7 "sapo02" "Acacia" "18:17:00"
7682 "5419610-23HIV01-MULTAX-Dimanche-03" "31" 183.27575749509205 3.054595958251534 237129 7 "sapo02" "Acacia" "18:17:00" 237130 8 "rust01" "Rue du Stade" "18:17:00"
7681 "5419609-23HIV01-MULTAX-Dimanche-03" "31" 729.3268725812813 12.155447876354689 237112 2 "gasn12" "Gare SNCF" "12:27:00" 237113 3 "koeni02" "Plains Champs" "12:27:00"
7681 "5419609-23HIV01-MULTAX-Dimanche-03" "31" 174.13895343794113 2.902315890632352 237114 4 "stad02" "Troarn Stade" "12:27:00" 237115 5 "msau02" "Mont du Saule" "12:27:00"
7681 "5419609-23HIV01-MULTAX-Dimanche-03" "31" 153.99361359772712 2.566560226628785 237116 6 "sabo02" "Sannerville Bourg" "12:27:00" 237117 7 "sapo02" "Acacia" "12:27:00"
7681 "5419609-23HIV01-MULTAX-Dimanche-03" "31" 183.27575749509205 3.054595958251534 237117 7 "sapo02" "Acacia" "12:27:00" 237118 8 "rust01" "Rue du Stade" "12:27:00"
fast_travel_between_far_stops WARNING 4

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
7680 "5419608-23HIV01-MULTAX-Dimanche-03" "31" 732.4012657564928 12.206687762608214 237099 1 "bure01" "Bures" "13:45:00" 237106 8 "msau01" "Mont du Saule" "13:45:00"
7679 "5419607-23HIV01-MULTAX-Dimanche-03" "31" 732.4012657564928 12.206687762608214 237087 1 "bure01" "Bures" "09:45:00" 237094 8 "msau01" "Mont du Saule" "09:45:00"
7682 "5419610-23HIV01-MULTAX-Dimanche-03" "31" 729.3268725812813 12.155447876354689 237124 2 "gasn12" "Gare SNCF" "18:17:00" 237125 3 "koeni02" "Plains Champs" "18:17:00"
7681 "5419609-23HIV01-MULTAX-Dimanche-03" "31" 729.3268725812813 12.155447876354689 237112 2 "gasn12" "Gare SNCF" "12:27:00" 237113 3 "koeni02" "Plains Champs" "12:27:00"
missing_recommended_column WARNING 1

missing_recommended_column

A recommended column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"stop_times.txt" "timepoint"
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 138

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 138 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.
"agency.txt" "agency_name" "TWISTO_TAD" 3
"trips.txt" "trip_headsign" "CAEN CHU" 5099
"trips.txt" "trip_headsign" "CAEN CHU" 5100
"trips.txt" "trip_headsign" "CAEN CHU" 5101
"trips.txt" "trip_headsign" "CAEN CHU" 5102
"trips.txt" "trip_headsign" "CAEN CHU" 5103
"trips.txt" "trip_headsign" "CAEN CHU" 5104
"trips.txt" "trip_headsign" "CAEN CHU" 5105
"trips.txt" "trip_headsign" "CAEN CHU" 5106
"trips.txt" "trip_headsign" "CAEN CHU" 5107
"trips.txt" "trip_headsign" "CAEN CHU" 5108
"trips.txt" "trip_headsign" "CAEN CHU" 5109
"trips.txt" "trip_headsign" "CAEN CHU" 5110
"trips.txt" "trip_headsign" "CAEN CHU" 5111
"trips.txt" "trip_headsign" "CAEN CHU" 5112
"trips.txt" "trip_headsign" "CAEN CHU" 5113
"trips.txt" "trip_headsign" "CAEN CHU" 5114
"trips.txt" "trip_headsign" "CAEN CHU" 5115
"trips.txt" "trip_headsign" "CAEN CHU" 5116
"trips.txt" "trip_headsign" "CAEN CHU" 5117
"trips.txt" "trip_headsign" "CAEN CHU" 5118
"trips.txt" "trip_headsign" "CAEN CHU" 5119
"trips.txt" "trip_headsign" "CAEN CHU" 5120
"trips.txt" "trip_headsign" "CAEN CHU" 5121
"trips.txt" "trip_headsign" "CAEN CHU" 5122
"trips.txt" "trip_headsign" "CAEN CHU" 5123
"trips.txt" "trip_headsign" "CAEN CHU" 5124
"trips.txt" "trip_headsign" "CAEN CHU" 5125
"trips.txt" "trip_headsign" "CAEN CHU" 5126
"trips.txt" "trip_headsign" "CAEN CHU" 5127
"trips.txt" "trip_headsign" "CAEN CHU" 5128
"trips.txt" "trip_headsign" "CAEN CHU" 5129
"trips.txt" "trip_headsign" "CAEN CHU" 5130
"trips.txt" "trip_headsign" "CAEN CHU" 5131
"trips.txt" "trip_headsign" "CAEN CHU" 5132
"trips.txt" "trip_headsign" "CAEN CHU" 5133
"trips.txt" "trip_headsign" "CAEN CHU" 5134
"trips.txt" "trip_headsign" "CAEN CHU" 5135
"trips.txt" "trip_headsign" "CAEN CHU" 5136
"trips.txt" "trip_headsign" "CAEN CHU" 5137
"trips.txt" "trip_headsign" "CAEN CHU" 5138
"trips.txt" "trip_headsign" "CAEN CHU" 5139
"trips.txt" "trip_headsign" "CAEN CHU" 5140
"trips.txt" "trip_headsign" "CAEN CHU" 5141
"trips.txt" "trip_headsign" "CAEN CHU" 5142
"trips.txt" "trip_headsign" "CAEN CHU" 5143
"trips.txt" "trip_headsign" "CAEN CHU" 5144
"trips.txt" "trip_headsign" "CAEN CHU" 5145
"trips.txt" "trip_headsign" "CAEN CHU" 5146
"trips.txt" "trip_headsign" "CAEN CHU" 5147
route_long_name_contains_short_name WARNING 8

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`.
"6A" 11 "6A" "6A HÉROUVILLE Saint-Clair"
"6B" 12 "6B" "6B HÉROUVILLE Saint-Clair"
"137A" 67 "137A" "137A IFS Collège Senghor - GRENTHEVILLE le Hameau"
"137B" 68 "137B" "137B IFS Collège Senghor - BOURGUEBUS La Hogue"
"137C" 69 "137C" "137C IFS Collège Senghor - BOURGUEBUS Centre"
"137D" 70 "137D" "137D IFS Collège Senghor - SOLIERS Hameau du Four"
"CAENav465" 74 "RESAGO 2" "Resago 2 Secteur Colleville"
"CAENav506" 75 "RESAGO 5" "Resago 5 Secteur Ouistreham"
same_name_and_description_for_stop WARNING 172

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

Only the first 50 of 172 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
784 "rbay02" "Route de Bayeux"
787 "rbay01" "Route de Bayeux"
789 "hipp02" "Hippodrome"
796 "chrm01" "Charmettes"
812 "1153682" "Odon"
819 "lope02" "Loup pendu"
822 "1151699" "Lazzaro"
830 "1151700" "Lazzaro"
839 "pexn02" "Zénith"
841 "pexn01" "Zénith"
850 "1153664" "Verson centre"
854 "cpam01" "CPAM"
857 "rtpa01" "Route de Paris"
863 "rtpa02" "Route de Paris"
876 "1151555" "Bas manoir"
904 "SAC022B" "La jalousie"
939 "libe22" "Libération"
940 "poes02" "Porte d'espagne"
941 "laja01" "La jalousie"
944 "rumo22" "Moulin"
946 "C020A" "Place Courtonne"
953 "poes01" "Porte d'espagne"
961 "chuo02" "Mont coco"
965 "chrm02" "Charmettes"
989 "peric01" "Péricentre"
1007 "psau01" "Place des saules"
1009 "mfca01" "Le Fresne mairie"
1010 "cons02" "Hôtel de ville quai 3"
1012 "bore01" "Le bout renard"
1015 "odon01" "Odon"
1059 "mala01" "maladrerie"
1065 "egbr01" "Bretteville église"
1066 "egbr02" "Bretteville église"
1067 "htha01" "Hauts de Thaon"
1099 "grbo01" "Grand bois"
1103 "1153119" "Libération"
1104 "crva01" "Croix vautier"
1128 "1151908" "Campus 2"
1144 "burr02" "Burrator"
1157 "bore02" "Le bout renard"
1177 "grbu01" "Grands bureaux"
1180 "grbu02" "Grands bureaux"
1212 "mafo01" "Maurice Fouques"
1215 "semi01" "Séminaire"
1217 "htha02" "Hauts de Thaon"
1226 "bel01" "Bellivet"
1238 "gruch01" "Gruchy"
1240 "psau02" "Place des saules"
1279 "vaug01" "Vaugueux"
1319 "C029B" "Lycée Malherbe"
trip_distance_exceeds_shape_distance_below_threshold WARNING 30

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is less than 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.
"5423797-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423798-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423799-23HIV01-MULTISST-Vendredi-20-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423800-23HIV01-MULTISST-Vendredi-20-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423801-23HIV01-MULTISST-Vendredi-20-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423802-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423803-23HIV01-MULTISST-Vendredi-20-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423804-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423805-23HIV01-MULTISST-Vendredi-20-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423806-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423807-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423808-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423809-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423810-23HIV01-MULTISST-Jeudi-19-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423817-23HIV01-MULTISST-Samedi-00" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423819-23HIV01-MULTISST-Samedi-00" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423820-23HIV01-MULTISST-Samedi-00" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423821-23HIV01-MULTISST-Samedi-00" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423822-23HIV01-MULTISST-Samedi-00" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423825-23HIV01-MULTISST-Jeudi-02-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423825-23HIV01-MULTISST-Vendredi-01-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423826-23HIV01-MULTISST-Jeudi-02-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423826-23HIV01-MULTISST-Vendredi-01-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423827-23HIV01-MULTISST-Jeudi-02-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423827-23HIV01-MULTISST-Vendredi-01-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423828-23HIV01-MULTISST-Jeudi-02-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423828-23HIV01-MULTISST-Vendredi-01-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423829-23HIV01-MULTISST-Jeudi-02-0001000" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423829-23HIV01-MULTISST-Vendredi-01-0000100" "NUIT_DC4FB511E889609AD08803A806749369" 18842.703 0.0 4.143856011692066
"5423818-23HIV01-MULTISST-Samedi-00" "NUIT_63ED4AEC8BA386BE8A7B968A96112826" 18030.602 0.0 4.143856011692066