GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T08:00:06Z,
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. stop_times.txt
  6. stops.txt
  7. transfers.txt
  8. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 24
  • Shapes: 0
  • Stops: 1092
  • Trips: 825

Specification Compliance report

100 notices reported (0 errors, 100 warnings, 0 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 20

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.
554 "1012265x1015042" "1001845" 319.6663092076108 15.983315460380542 12780 11 "102756" "Nigay" "17:40:00" 12781 12 "103100" "Col. Palais" "17:42:00"
544 "1012262x1015033" "1001845" 319.6663092076108 15.983315460380542 12648 11 "102756" "Nigay" "18:40:00" 12649 12 "103100" "Col. Palais" "18:42:00"
547 "1013265x1016505" "1001845" 319.1196265496803 15.955981327484013 12686 1 "103100" "Col. Palais" "08:28:00" 12687 2 "102732" "Musée Assier" "08:30:00"
560 "1013268x1016517" "1001845" 319.1196265496803 15.955981327484013 12859 1 "103100" "Col. Palais" "07:03:00" 12860 2 "102732" "Musée Assier" "07:05:00"
545 "1013265x1016504" "1001845" 319.1196265496803 15.955981327484013 12650 1 "103100" "Col. Palais" "07:03:00" 12651 2 "102732" "Musée Assier" "07:05:00"
542 "1012262x1015031" "1001845" 319.6663092076108 15.983315460380542 12624 11 "102756" "Nigay" "14:40:00" 12625 12 "103100" "Col. Palais" "14:42:00"
548 "1013265x1016506" "1001845" 319.1196265496803 15.955981327484013 12698 1 "103100" "Col. Palais" "09:13:00" 12699 2 "102732" "Musée Assier" "09:15:00"
556 "1013268x1016518" "1001845" 319.1196265496803 15.955981327484013 12794 1 "103100" "Col. Palais" "13:58:00" 12795 2 "102732" "Musée Assier" "14:00:00"
559 "1013268x1016519" "1001845" 319.1196265496803 15.955981327484013 12847 1 "103100" "Col. Palais" "17:48:00" 12848 2 "102732" "Musée Assier" "17:50:00"
553 "1012265x1015041" "1001845" 319.6663092076108 15.983315460380542 12768 11 "102756" "Nigay" "13:50:00" 12769 12 "103100" "Col. Palais" "13:52:00"
551 "1013265x1016509" "1001845" 319.1196265496803 15.955981327484013 12734 1 "103100" "Col. Palais" "17:18:00" 12735 2 "102732" "Musée Assier" "17:20:00"
540 "1012262x1015029" "1001845" 319.6663092076108 15.983315460380542 12600 11 "102756" "Nigay" "08:55:00" 12601 12 "103100" "Col. Palais" "08:57:00"
541 "1012262x1015030" "1001845" 319.6663092076108 15.983315460380542 12612 11 "102756" "Nigay" "12:45:00" 12613 12 "103100" "Col. Palais" "12:47:00"
543 "1012262x1015032" "1001845" 319.6663092076108 15.983315460380542 12636 11 "102756" "Nigay" "17:10:00" 12637 12 "103100" "Col. Palais" "17:12:00"
550 "1013265x1016508" "1001845" 319.1196265496803 15.955981327484013 12722 1 "103100" "Col. Palais" "15:28:00" 12723 2 "102732" "Musée Assier" "15:30:00"
552 "1013265x1016510" "1001845" 319.1196265496803 15.955981327484013 12746 1 "103100" "Col. Palais" "18:43:00" 12747 2 "102732" "Musée Assier" "18:45:00"
539 "1012262x1015028" "1001845" 319.6663092076108 15.983315460380542 12588 11 "102756" "Nigay" "08:25:00" 12589 12 "103100" "Col. Palais" "08:27:00"
555 "1012265x1015040" "1001845" 319.6663092076108 15.983315460380542 12792 11 "102756" "Nigay" "07:00:00" 12793 12 "103100" "Col. Palais" "07:02:00"
538 "1012262x1015027" "1001845" 319.6663092076108 15.983315460380542 12576 11 "102756" "Nigay" "07:00:00" 12577 12 "103100" "Col. Palais" "07:02:00"
549 "1013265x1016507" "1001845" 319.1196265496803 15.955981327484013 12710 1 "103100" "Col. Palais" "13:18:00" 12711 2 "102732" "Musée Assier" "13:20:00"
fast_travel_between_far_stops WARNING 20

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.
554 "1012265x1015042" "1001845" 319.6663092076108 15.983315460380542 12780 11 "102756" "Nigay" "17:40:00" 12781 12 "103100" "Col. Palais" "17:42:00"
544 "1012262x1015033" "1001845" 319.6663092076108 15.983315460380542 12648 11 "102756" "Nigay" "18:40:00" 12649 12 "103100" "Col. Palais" "18:42:00"
547 "1013265x1016505" "1001845" 319.1196265496803 15.955981327484013 12686 1 "103100" "Col. Palais" "08:28:00" 12687 2 "102732" "Musée Assier" "08:30:00"
560 "1013268x1016517" "1001845" 319.1196265496803 15.955981327484013 12859 1 "103100" "Col. Palais" "07:03:00" 12860 2 "102732" "Musée Assier" "07:05:00"
545 "1013265x1016504" "1001845" 319.1196265496803 15.955981327484013 12650 1 "103100" "Col. Palais" "07:03:00" 12651 2 "102732" "Musée Assier" "07:05:00"
542 "1012262x1015031" "1001845" 319.6663092076108 15.983315460380542 12624 11 "102756" "Nigay" "14:40:00" 12625 12 "103100" "Col. Palais" "14:42:00"
548 "1013265x1016506" "1001845" 319.1196265496803 15.955981327484013 12698 1 "103100" "Col. Palais" "09:13:00" 12699 2 "102732" "Musée Assier" "09:15:00"
556 "1013268x1016518" "1001845" 319.1196265496803 15.955981327484013 12794 1 "103100" "Col. Palais" "13:58:00" 12795 2 "102732" "Musée Assier" "14:00:00"
559 "1013268x1016519" "1001845" 319.1196265496803 15.955981327484013 12847 1 "103100" "Col. Palais" "17:48:00" 12848 2 "102732" "Musée Assier" "17:50:00"
553 "1012265x1015041" "1001845" 319.6663092076108 15.983315460380542 12768 11 "102756" "Nigay" "13:50:00" 12769 12 "103100" "Col. Palais" "13:52:00"
551 "1013265x1016509" "1001845" 319.1196265496803 15.955981327484013 12734 1 "103100" "Col. Palais" "17:18:00" 12735 2 "102732" "Musée Assier" "17:20:00"
540 "1012262x1015029" "1001845" 319.6663092076108 15.983315460380542 12600 11 "102756" "Nigay" "08:55:00" 12601 12 "103100" "Col. Palais" "08:57:00"
541 "1012262x1015030" "1001845" 319.6663092076108 15.983315460380542 12612 11 "102756" "Nigay" "12:45:00" 12613 12 "103100" "Col. Palais" "12:47:00"
543 "1012262x1015032" "1001845" 319.6663092076108 15.983315460380542 12636 11 "102756" "Nigay" "17:10:00" 12637 12 "103100" "Col. Palais" "17:12:00"
550 "1013265x1016508" "1001845" 319.1196265496803 15.955981327484013 12722 1 "103100" "Col. Palais" "15:28:00" 12723 2 "102732" "Musée Assier" "15:30:00"
552 "1013265x1016510" "1001845" 319.1196265496803 15.955981327484013 12746 1 "103100" "Col. Palais" "18:43:00" 12747 2 "102732" "Musée Assier" "18:45:00"
539 "1012262x1015028" "1001845" 319.6663092076108 15.983315460380542 12588 11 "102756" "Nigay" "08:25:00" 12589 12 "103100" "Col. Palais" "08:27:00"
555 "1012265x1015040" "1001845" 319.6663092076108 15.983315460380542 12792 11 "102756" "Nigay" "07:00:00" 12793 12 "103100" "Col. Palais" "07:02:00"
538 "1012262x1015027" "1001845" 319.6663092076108 15.983315460380542 12576 11 "102756" "Nigay" "07:00:00" 12577 12 "103100" "Col. Palais" "07:02:00"
549 "1013265x1016507" "1001845" 319.1196265496803 15.955981327484013 12710 1 "103100" "Col. Palais" "13:18:00" 12711 2 "102732" "Musée Assier" "13:20:00"
leading_or_trailing_whitespaces WARNING 24

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 113 "stop_name" "Four à Chaux "
"stops.txt" 114 "stop_name" "Centre Pleuvey "
"stops.txt" 115 "stop_name" "Centre Pleuvey "
"stops.txt" 116 "stop_name" "Pont St-Jean "
"stops.txt" 117 "stop_name" "Cimetière "
"stops.txt" 118 "stop_name" "Cimetière "
"stops.txt" 120 "stop_name" "La Source "
"stops.txt" 121 "stop_name" "La Source "
"stops.txt" 122 "stop_name" "Mairie de Moingt "
"stops.txt" 123 "stop_name" "Mairie de Moingt "
"stops.txt" 124 "stop_name" "La Fournière "
"stops.txt" 125 "stop_name" "La Fournière "
"stops.txt" 126 "stop_name" "Camping "
"stops.txt" 127 "stop_name" "Cimetière Moingt "
"stops.txt" 128 "stop_name" "Cimetière Moingt "
"stops.txt" 131 "stop_name" "Les Pins "
"stops.txt" 138 "stop_name" "Echangeur RD8/498 "
"stops.txt" 146 "stop_name" "Gymnase "
"stops.txt" 189 "stop_name" "Mairie "
"stops.txt" 1042 "stop_name" "Magneux "
"stops.txt" 1043 "stop_name" "Magneux "
"stops.txt" 1047 "stop_name" "Les Danses "
"stops.txt" 1048 "stop_name" "Gapiand "
"stops.txt" 1049 "stop_name" "Place Rosalie "
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 10

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" "RD60 / RD113" 281
"stops.txt" "stop_name" "RD8 / RD107" 285
"stops.txt" "stop_name" "RD8 / RD107" 501
"stops.txt" "stop_name" "RD60 / RD113" 587
"stops.txt" "stop_name" "RD60 / RD10" 697
"stops.txt" "stop_name" "RD8 / RD37" 822
"stops.txt" "stop_name" "RD60 / RD10" 1023
"stops.txt" "stop_name" "RD8 / RD37 2" 1089
"stops.txt" "stop_name" "X RD6 RD110" 1090
"stops.txt" "stop_name" "X RD6 RD110" 1091
route_long_name_contains_short_name WARNING 24

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`.
"1002579" 2 "300" "300 Savigneux - Montbrison"
"1002510" 3 "29" "29 St-Just-St-Rambert - Bonson"
"1001832" 4 "L10" "L10 Andrézieux-Bouthéon - Montrond"
"1001833" 5 "L11" "L11 Montbrison - St-Etienne"
"1001834" 6 "L12" "L12 Bourg-Argental Le Bessat -St-Etienne"
"1001835" 7 "L13" "L13 Craponne - St Etienne"
"1001836" 8 "L14" "L14 Jonzieux - St Etienne"
"1001837" 9 "L15" "L15 Balbigny-Andrezieux-CHU St Etienne"
"1001838" 10 "L16" "L16 St Marcellin-St Just-St Etienne"
"1001839" 11 "L17" "L17 Annonay - St Etienne"
"1001840" 12 "L20" "L20 Balbigny - Roanne"
"1001841" 13 "L21" "L21 St-Just-en-Chevalet - Roanne"
"1001842" 14 "L22" "L22 Boën- St Germain-L - Roanne"
"1001843" 15 "L23" "L23 Charlieu - Vougy - Roanne"
"1001844" 16 "L24" "L24 Chaufailles - Briennon - Roanne"
"1001845" 17 "L30" "L30 Montbrison - Feurs"
"1001846" 18 "L31" "L31 Chalmazel - Montbrison"
"1001847" 19 "L32" "L32 St Bonnet-le-Château - Montbrison"
"1001848" 20 "L33" "L33 Noirétable - Boën - Feurs"
"1001849" 21 "L34" "L34 Panissières - Feurs"
"1001850" 22 "L35" "L35 Chazelles-s/Lyon - Montbrison"
"1001851" 23 "L40" "L40 Maclas-Pélussin-Vienne"
"1001852" 24 "L41" "L41 Pélussin-Maclas-Annonay"
"1001853" 25 "L42" "L42 Chuyer-Chavanay-Roussillon"