GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.0.0 at 2025-04-22T09:48:59Z,
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 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: 7
  • Routes: 17
  • Shapes: 40
  • Stops: 126
  • Trips: 143

Specification Compliance report

216 notices reported (140 errors, 75 warnings, 1 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 3

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
64 "27" "5" 67 "298" "6" "SEM04" "20230606"
67 "298" "6" 72 "33" "1" "SEM04" "20230610"
20 "110" "1" 23 "112" "1" "SEM02" "20230610"
duplicate_key ERROR 12

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"calendar_dates.txt" 2 14 "service_id,date" "5,20230714"
"calendar_dates.txt" 4 15 "service_id,date" "2,20230815"
"calendar_dates.txt" 6 16 "service_id,date" "6,20230714"
"calendar_dates.txt" 11 17 "service_id,date" "3,20230815"
"calendar_dates.txt" 9 18 "service_id,date" "2,20230714"
"calendar_dates.txt" 13 19 "service_id,date" "6,20230815"
"calendar_dates.txt" 8 20 "service_id,date" "1,20230815"
"calendar_dates.txt" 3 21 "service_id,date" "5,20230815"
"calendar_dates.txt" 5 22 "service_id,date" "4,20230714"
"calendar_dates.txt" 12 23 "service_id,date" "3,20230714"
"calendar_dates.txt" 7 24 "service_id,date" "4,20230815"
"calendar_dates.txt" 10 25 "service_id,date" "1,20230714"
trip_distance_exceeds_shape_distance ERROR 125

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 125 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.
"1" "0121" 4003.67 0.0 822.4526265543001
"100" "0321" 1703.121 0.0 761.0824191032553
"101" "0371" 2057.542 0.0 761.8132088768576
"102" "1401" 46.584 0.0 61.554380044380736
"103" "3001" 55.203 0.0 61.82988126891275
"104" "0371" 2057.542 0.0 761.8132088768576
"105" "0421" 4365.06 0.0 1231.376089868024
"105_0" "0421" 4365.06 0.0 1231.376089868024
"106" "0471" 4053.071 0.0 1231.933111608173
"106_0" "0471" 4053.071 0.0 1231.933111608173
"107" "0121" 4003.67 0.0 822.4526265543001
"107_0" "0121" 4003.67 0.0 822.4526265543001
"108" "0171" 3531.718 0.0 826.224331970704
"108_0" "0171" 3531.718 0.0 826.224331970704
"109" "0421" 4365.06 0.0 1231.376089868024
"109_0" "0421" 4365.06 0.0 1231.376089868024
"110" "0471" 4053.071 0.0 1231.933111608173
"110_0" "0471" 4053.071 0.0 1231.933111608173
"111" "1122" 5347.837 0.0 2877.5188357361585
"112" "0321" 1703.121 0.0 761.0824191032553
"112_0" "0321" 1703.121 0.0 761.0824191032553
"113" "0371" 2057.542 0.0 761.8132088768576
"113_0" "0371" 2057.542 0.0 761.8132088768576
"114" "2121" 4440.599 0.0 2013.8096650459204
"116" "0221" 2628.875 0.0 2540.2604235325985
"116_0" "0221" 2628.875 0.0 2540.2604235325985
"118" "1171" 3780.865 0.0 2882.3060554567473
"119_0" "0271" 2630.835 0.0 2540.6229719228954
"121" "1221" 2868.818 0.0 951.756379570882
"122" "1271" 1093.199 0.0 957.9615694090757
"123" "0121" 4003.67 0.0 822.4526265543001
"124" "0171" 3531.718 0.0 826.224331970704
"125" "2321" 4430.675 0.0 1518.7271539740182
"126" "0423" 2074.133 0.0 1231.376089868024
"127" "0472" 3437.467 0.0 838.2895547555197
"128" "2322" 3455.234 0.0 1579.5223674989425
"129" "0425" 2944.58 0.0 496.6065221074774
"13" "1121" 4513.226 0.0 2893.571096633256
"130" "0121" 4003.67 0.0 822.4526265543001
"131" "0171" 3531.718 0.0 826.224331970704
"133" "0121" 4003.67 0.0 822.4526265543001
"134" "0171" 3531.718 0.0 826.224331970704
"15" "2421" 5578.213 0.0 2013.8096650459204
"16" "0321" 1703.121 0.0 761.0824191032553
"17" "1171" 3780.865 0.0 2882.3060554567473
"18" "0371" 2057.542 0.0 761.8132088768576
"19" "2321" 4430.675 0.0 1518.7271539740182
"2" "0171" 3531.718 0.0 826.224331970704
"20" "2621" 2249.365 0.0 438.94024640386095
"21" "0421" 4365.06 0.0 1231.376089868024
"22" "2471" 4348.488 0.0 2011.5734029831303
"23" "3001" 55.203 0.0 61.82988126891275
"24" "2721" 5412.264 0.0 383.2939955628092
"25" "0471" 4053.071 0.0 1231.933111608173
"26" "2421" 5578.213 0.0 2013.8096650459204
"27" "1401" 46.584 0.0 61.554380044380736
"28" "1321" 4761.482 0.0 1706.7305526518826
"29" "1371" 3213.82 0.0 1566.6406153008666
"298" "1401" 46.584 0.0 61.554380044380736
"3" "0272" 658.665 0.0 605.4380952834748
"30" "2471" 4348.488 0.0 2011.5734029831303
"31" "0121" 4003.67 0.0 822.4526265543001
"33" "1401" 46.584 0.0 61.554380044380736
"34" "2421" 5578.213 0.0 2013.8096650459204
"35" "0171" 3531.718 0.0 826.224331970704
"37" "2621" 2249.365 0.0 438.94024640386095
"38" "0221" 2628.875 0.0 2540.2604235325985
"39" "2471" 4348.488 0.0 2011.5734029831303
"4" "0121" 4003.67 0.0 822.4526265543001
"40" "0271" 2630.835 0.0 2540.6229719228954
"41" "2721" 5412.264 0.0 383.2939955628092
"42" "2421" 5578.213 0.0 2013.8096650459204
"43" "0321" 1703.121 0.0 761.0824191032553
"44" "0371" 2057.542 0.0 761.8132088768576
"45" "0421" 4365.06 0.0 1231.376089868024
"46" "2471" 4348.488 0.0 2011.5734029831303
"48" "1221" 2868.818 0.0 951.756379570882
"49" "0471" 4053.071 0.0 1231.933111608173
"5" "2121" 4440.599 0.0 2013.8096650459204
"50" "2421" 5578.213 0.0 2013.8096650459204
"51" "1271" 1093.199 0.0 957.9615694090757
"52" "2621" 2249.365 0.0 438.94024640386095
"53" "1122" 5347.837 0.0 2877.5188357361585
"54" "0121" 4003.67 0.0 822.4526265543001
"56" "2471" 4348.488 0.0 2011.5734029831303
"57" "2721" 5412.264 0.0 383.2939955628092
"58" "0171" 3531.718 0.0 826.224331970704
"59" "2121" 4440.599 0.0 2013.8096650459204
"6" "2421" 5578.213 0.0 2013.8096650459204
"60" "2421" 5578.213 0.0 2013.8096650459204
"61" "1171" 3780.865 0.0 2882.3060554567473
"62" "0221" 2628.875 0.0 2540.2604235325985
"63" "0273" 2392.099 0.0 2347.1027118010734
"65" "2472" 6442.755 0.0 1518.7271539740182
"66" "1322" 5059.863 0.0 1566.3783380604516
"68" "0422" 2152.16 0.0 1251.295196102703
"69" "0472" 3437.467 0.0 838.2895547555197
"7" "1221" 2868.818 0.0 951.756379570882
"70" "0425" 2944.58 0.0 496.6065221074774
"71" "2472" 6442.755 0.0 1518.7271539740182
"72" "2321" 4430.675 0.0 1518.7271539740182
"73" "1371" 3213.82 0.0 1566.6406153008666
"74" "0121" 4003.67 0.0 822.4526265543001
"75" "0171" 3531.718 0.0 826.224331970704
"76" "0121" 4003.67 0.0 822.4526265543001
"77" "0171" 3531.718 0.0 826.224331970704
"8" "0171" 3531.718 0.0 826.224331970704
"80" "0321" 1703.121 0.0 761.0824191032553
"81" "2121" 4440.599 0.0 2013.8096650459204
"82" "0371" 2057.542 0.0 761.8132088768576
"83" "1221" 2868.818 0.0 951.756379570882
"84" "0421" 4365.06 0.0 1231.376089868024
"85" "1271" 1093.199 0.0 957.9615694090757
"87" "0471" 4053.071 0.0 1231.933111608173
"88" "1121" 4513.226 0.0 2893.571096633256
"89" "0121" 4003.67 0.0 822.4526265543001
"9" "1271" 1093.199 0.0 957.9615694090757
"90" "0121" 4003.67 0.0 822.4526265543001
"91" "1171" 3780.865 0.0 2882.3060554567473
"92" "2321" 4430.675 0.0 1518.7271539740182
"93" "0171" 3531.718 0.0 826.224331970704
"94" "0171" 3531.718 0.0 826.224331970704
"96" "0221" 2628.875 0.0 2540.2604235325985
"97" "0271" 2630.835 0.0 2540.6229719228954
"98" "0321" 1703.121 0.0 761.0824191032553
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 56

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 56 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" "LILLEBONNE TAD A" 30
"stops.txt" "stop_name" "LILLEBONNE TAD B" 31
"stops.txt" "stop_name" "LILLEBONNE TAD C" 36
"stops.txt" "stop_name" "LILLEBONNE MJC" 39
"stops.txt" "stop_name" "ND GRAVENCHON EHPAD" 81
"stops.txt" "stop_name" "PORT JEROME TAD A" 89
"stops.txt" "stop_name" "PORT JEROME TAD B" 92
"stops.txt" "stop_name" "PORT JEROME TAD C" 98
"stops.txt" "stop_name" "BOLBEC CCI" 122
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 3
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 7
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 19
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 27
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 28
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 33
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 34
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 39
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 42
"trips.txt" "trip_short_name" "01 SNCF" 48
"trips.txt" "trip_short_name" "01 SNCF" 49
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 51
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 55
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 57
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 59
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 60
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 61
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 63
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 69
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 71
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 73
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 75
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 76
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 78
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 81
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 82
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 86
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 87
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 90
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 91
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 93
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 96
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 97
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 98
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 100
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 101
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 102
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 106
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 107
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 109
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 114
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 115
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 121
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 125
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 130
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 137
"trips.txt" "trip_headsign" "PORT-JEROME-SUR-SEINE" 144
trip_distance_exceeds_shape_distance_below_threshold WARNING 18

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.

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.
"10" "2222" 6858.962 0.0 0.14446174106772958
"11" "2521" 5621.448 0.0 0.14446174106772958
"115" "2822" 18399.464 0.0 5.874604682540775
"12" "2822" 18399.464 0.0 5.874604682540775
"120" "2271" 6788.235 0.0 0.14446174106772958
"132" "0222" 2192.502 0.0 1.4616326210436295
"14" "0222" 2192.502 0.0 1.4616326210436295
"32" "2521" 5621.448 0.0 0.14446174106772958
"36" "2822" 18399.464 0.0 5.874604682540775
"47" "2571" 5599.887 0.0 0.14446174106772958
"55" "2822" 18399.464 0.0 5.874604682540775
"64" "2271" 6788.235 0.0 0.14446174106772958
"67" "2571" 5599.887 0.0 0.14446174106772958
"78" "2821" 19750.243 0.0 5.6187477693459105
"79" "0424" 2918.288 0.0 0.21632074646946814
"86" "2222" 6858.962 0.0 0.14446174106772958
"95" "0222" 2192.502 0.0 1.4616326210436295
"99" "2821" 19750.243 0.0 5.6187477693459105
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.
"trips.txt" "ext_pis_code" 4