GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-17T15:05:21Z,
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:
GTFS.pro
Publisher URL:
https://gtfs.pro
Feed Language:
French
Feed Start Date:
2024-06-06
Feed End Date:
2024-12-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. frequencies.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 67
  • Shapes: 295
  • Stops: 1695
  • Trips: 24443

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

ShapesFrequenciesFeed InformationRoute ColorsHeadsignsWheelchair AccessibilityLocation Types

Specification Compliance report

1755 notices reported (0 errors, 1755 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 13

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.
6 "846-B-PS-2324B-SAM2324-Samedi-20"
11 "846-B-PS-2324B-24COUSAM-Samedi-60"
10 "846-B-PS-2324B-MULPAR-Vendredi-50"
21 "846-ST-SC2324A-DI-SSTR-Dimanche-24"
36 "846-117a774edbc39224"
12 "846-B-PS-2324B-DIM2324-Dimanche-80"
35 "846-003d00b2bb42df1d"
7 "846-B-PS-2324B-24LUMA-L-Ma-J-V-20"
5 "846-B-PS-2324B-MULTVENP-Vendredi-20"
25 "846-T-PS-2324A-MSEPT23-Semaine-00"
8 "846-B-PS-2324B-SEMPS-Mercredi-35"
9 "846-B-PS-2324B-SEMPS-Jeudi-40"
55 "846-0932b8bb2a60f4c5"
mixed_case_recommended_field WARNING 1716

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 1716 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.
"routes.txt" "route_short_name" "25EX" 60
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18855
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18856
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18857
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18861
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18863
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18864
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18865
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18868
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18869
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18870
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18875
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18877
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18879
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18880
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18881
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18882
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18883
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18886
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18887
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18894
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18896
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18897
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18898
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18899
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18901
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18902
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18907
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18908
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18913
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18914
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18915
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18917
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18922
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18923
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18925
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18926
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18927
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18929
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18930
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18931
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18934
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18935
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18936
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18945
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18946
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18947
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18951
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18952
"trips.txt" "trip_headsign" "ANT-CIRCUIT 24H" 18955
route_long_name_contains_short_name WARNING 2

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`.
"846-TADM" 67 "Résa+" "Résa+ Monne"
"846-TADT" 68 "Résa+" "Résa+ Technoparc"
stop_too_far_from_shape WARNING 24

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.
2082 "846-50034" "846-f03b7c24f2d1eeec421a" 46153 "846-CMM1" "Comtes du Maine" [48.00409599999999,0.20061699999999996] 101.18390819134727
3190 "846-260010" "846-7d5280cf40de6bbf682a" 69769 "846-REN2" "Auguste Renoir" [47.964413,0.156654] 393.9041288767383
3190 "846-260010" "846-7d5280cf40de6bbf682a" 69770 "846-CIA2" "Cimetière Allonnes" [47.964413,0.156654] 676.7641065237564
3190 "846-260010" "846-7d5280cf40de6bbf682a" 69771 "846-ARG2" "Argenton" [47.96521409064468,0.15671277433670863] 369.4220357254433
3193 "846-260011" "846-a94b210852b5534eb23d" 69837 "846-ARG1" "Argenton" [47.964271,0.157236] 242.57486140155555
3193 "846-260011" "846-a94b210852b5534eb23d" 69838 "846-CIA1" "Cimetière Allonnes" [47.964271,0.157236] 697.7467333023466
3193 "846-260011" "846-a94b210852b5534eb23d" 69839 "846-REN1" "Auguste Renoir" [47.964271,0.157236] 312.6416750016323
4788 "846-260012" "846-6538d8680e2ab24e8ee7" 104992 "846-REN2" "Auguste Renoir" [47.964413,0.156654] 393.9041288767383
4788 "846-260012" "846-6538d8680e2ab24e8ee7" 104993 "846-CIA2" "Cimetière Allonnes" [47.964413,0.156654] 676.7641065237564
4788 "846-260012" "846-6538d8680e2ab24e8ee7" 104994 "846-ARG2" "Argenton" [47.96521409064468,0.15671277433670863] 369.4220357254433
3189 "846-260009" "846-ca1f8d944a8dd9ab7d86" 69747 "846-ARG1" "Argenton" [47.964271,0.157236] 242.57486140155555
3189 "846-260009" "846-ca1f8d944a8dd9ab7d86" 69748 "846-CIA1" "Cimetière Allonnes" [47.964271,0.157236] 697.7467333023466
3189 "846-260009" "846-ca1f8d944a8dd9ab7d86" 69749 "846-REN1" "Auguste Renoir" [47.964271,0.157236] 312.6416750016323
3008 "846-160013" "846-2ec2f3fb5e5b7bbcde31" 66557 "846-CFA1" "Cfa" [47.98241000000001,0.228575] 410.0828300445474
3008 "846-160013" "846-2ec2f3fb5e5b7bbcde31" 66558 "846-CLI2" "Californie" [47.98241000000001,0.228575] 896.1100050087298
3005 "846-160014" "846-d70e6cf92c5921c528f0" 66446 "846-CLI3" "Californie" [47.98241000000001,0.228575] 966.2678916933355
3005 "846-160014" "846-d70e6cf92c5921c528f0" 66447 "846-CLI1" "Californie" [47.98241000000001,0.228575] 910.6594926509763
3005 "846-160014" "846-d70e6cf92c5921c528f0" 66448 "846-CFA2" "Cfa" [47.98241000000001,0.228575] 367.3570858780354
18858 "846-T10076" "846-d33a462dfafa84ba4718" 402146 "846-AN01" "Antarès - Stade Marie Marvingt" [47.964293,0.22115500000000002] 939.9803266407697
18855 "846-T10075" "846-cdbdb48a249b2c306c95" 402097 "846-AN02" "Antarès - Stade Marie Marvingt" [47.964222,0.221185] 924.7376700472959
20389 "846-T10095" "846-09d1306a1cae42ac1cdb" 433793 "846-AN01" "Antarès - Stade Marie Marvingt" [47.968613999999995,0.218839] 1442.9253936710113
20330 "846-T10094" "846-e7eb5c3894db6551ea11" 432401 "846-AN02" "Antarès - Stade Marie Marvingt" [47.968488,0.218817] 1421.525944619653
82 "846-210026" "846-883f254c587718f5f791" 2491 "846-GEM1" "La Gèmerie" [47.945638,0.18433099999999997] 265.18566323230135
85 "846-210025" "846-71811678df8f9b735181" 2576 "846-GEM1" "La Gèmerie" [47.945664,0.18430300000000002] 262.4656528176433