GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-08T07:38:47Z,
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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 1
  • Routes: 74
  • Shapes: 0
  • Stops: 1145
  • Trips: 1796

Specification Compliance report

1201 notices reported (0 errors, 1201 warnings, 0 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
6 "12_27" 7 "12_28" "12" "LIGNE 12" 3 "TAN"
11 "14_21" 12 "14_23" "14" "LIGNE 14" 3 "TAN"
29 "8_10" 30 "8_11" "8" "LIGNE 08" 3 "TAN"
expired_calendar WARNING 20

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 "23-24_SCO_LMCJVS_V6_06_LMWJV"
3 "23-24_PVS_LMCJVS_V5_5_WS"
4 "23-24_SCO_LMCJVS_V6_06_LMWJ"
6 "23-24_SCO_LMCJVS_V6_06_LMJV"
7 "23-24_PVS_LMCJVS_V5_5_LMWJVSDF"
9 "23-24_SCO_LMCJVS_V6_06_MV"
11 "23-24_PVS_LMCJVS_V5_5_LMJVS"
13 "23-24_PVS_LMCJVS_V5_5_LMWJVS"
17 "23-24_SCO_LMCJVS_V6_06_LMJVS"
21 "23-24_SCO_LMCJVS_V6_06_S"
22 "23-24_SCO_LMCJVS_V6_06_V"
23 "23-24_SCO_LMCJVS_V6_06_W"
26 "23-24_PVS_LMCJVS_V5_5_S"
28 "23-24_SCO_LMCJVS_V6_06_LMWJVSDF"
31 "23-24_SCO_LMCJVS_V6_06_MWJV"
33 "23-24_SCO_LMCJVS_V6_06_LMWJVS"
36 "23-24_PVS_LMCJVS_V5_5_DF"
37 "23-24_SCO_LMCJVS_V6_06_L"
38 "23-24_SCO_LMCJVS_V6_06_WS"
39 "23-24_SCO_LMCJVS_V6_06_LMJ"
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 1138

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 1138 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_desc" "retours par LOMI1" 2
"routes.txt" "route_short_name" "10TAD" 3
"routes.txt" "route_long_name" "LIGNE 10 TAD" 3
"routes.txt" "route_short_name" "11TAD" 5
"routes.txt" "route_long_name" "LIGNE 11 TAD" 5
"routes.txt" "route_short_name" "12TAD" 8
"routes.txt" "route_long_name" "LIGNE 12 TAD" 8
"routes.txt" "route_short_name" "13TAD" 10
"routes.txt" "route_long_name" "LIGNE 13 TAD" 10
"routes.txt" "route_short_name" "16TAD" 14
"routes.txt" "route_long_name" "LIGNE 16 TAD" 14
"routes.txt" "route_short_name" "17TAD" 16
"routes.txt" "route_long_name" "LIGNE 17 TAD" 16
"routes.txt" "route_desc" "mise à jour janvier 2024" 17
"routes.txt" "route_short_name" "18TAD" 18
"routes.txt" "route_long_name" "LIGNE 18 TAD" 18
"routes.txt" "route_short_name" "19TAD" 20
"routes.txt" "route_long_name" "LIGNE 19 TAD" 20
"routes.txt" "route_short_name" "20TAD" 22
"routes.txt" "route_long_name" "LIGNE 20 TAD" 22
"routes.txt" "route_short_name" "21TAD" 24
"routes.txt" "route_long_name" "LIGNE 21 TAD" 24
"routes.txt" "route_short_name" "6TAD" 26
"routes.txt" "route_long_name" "LIGNE 06 TAD" 26
"routes.txt" "route_short_name" "7TAD" 28
"routes.txt" "route_long_name" "LIGNE 07 TAD" 28
"routes.txt" "route_desc" "suppression doublon louise michele" 31
"routes.txt" "route_short_name" "9TAD" 32
"routes.txt" "route_long_name" "LIGNE 09 TAD" 32
"routes.txt" "route_long_name" "BUS COOL 01" 33
"routes.txt" "route_long_name" "BUS COOL 02" 34
"routes.txt" "route_long_name" "BUS COOL 003" 35
"routes.txt" "route_long_name" "BUS COOL 005" 37
"routes.txt" "route_desc" "départ palais travail & gare condorcet" 37
"routes.txt" "route_long_name" "BUS COOL 006" 38
"routes.txt" "route_long_name" "BUS COOL 007" 39
"routes.txt" "route_long_name" "BUS COOL 100" 40
"routes.txt" "route_long_name" "BUS COOL 101" 41
"routes.txt" "route_long_name" "BUS COOL 102" 42
"routes.txt" "route_long_name" "BUS COOL 103" 43
"routes.txt" "route_long_name" "BUS COOL 104" 44
"routes.txt" "route_long_name" "BUS COOL 105" 45
"routes.txt" "route_long_name" "BUS COOL 106" 46
"routes.txt" "route_desc" "suppression doublons office tourisme" 46
"routes.txt" "route_long_name" "BUS COOL 107" 47
"routes.txt" "route_desc" "SUPPRESSION ARRET ANTISEL" 47
"routes.txt" "route_long_name" "BUS COOL 108" 48
"routes.txt" "route_long_name" "BUS COOL 200" 49
"routes.txt" "route_long_name" "BUS COOL 201" 50
"routes.txt" "route_long_name" "BUS COOL 202" 51
route_color_contrast WARNING 38

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.
"10_6" 2 "#800080" "#000000"
"10TAD_1" 3 "#800080" "#000000"
"17_5" 15 "#0000A0" "#000000"
"17TAD_1" 16 "#0000A0" "#000000"
"19_7" 19 "#800040" "#000000"
"19TAD_3" 20 "#800040" "#000000"
"21_13" 23 "#0000A0" "#000000"
"21TAD_4" 24 "#0000A0" "#000000"
"7_12" 27 "#000080" "#000000"
"7TAD_4" 28 "#000080" "#000000"
"BC001_4" 33 "#000000" "#000000"
"BC002_1" 34 "#000000" "#000000"
"BC003_3" 35 "#0000A0" "#000000"
"BC004_1" 36 "#000000" "#000000"
"BC007_1" 39 "#FFC64F" "#FFFFFF"
"BC100_1" 40 "#0000FF" "#000000"
"BC101_5" 41 "#0000FF" "#000000"
"BC102_1" 42 "#0000FF" "#000000"
"BC103_1" 43 "#0000FF" "#000000"
"BC104_2" 44 "#0000FF" "#000000"
"BC106_2" 46 "#0000FF" "#000000"
"BC108_1" 48 "#0000FF" "#000000"
"BC200_5" 49 "#0000FF" "#000000"
"BC201_1" 50 "#0000A0" "#000000"
"BC204_3" 52 "#1B10DC" "#000000"
"BC205_1" 53 "#0000FF" "#000000"
"BC206_1" 54 "#004080" "#000000"
"BC300_3" 58 "#0000FF" "#000000"
"BC301_2" 59 "#0000FF" "#000000"
"BC302_2" 60 "#0000FF" "#000000"
"BC303_2" 61 "#0000FF" "#000000"
"BC304_1" 62 "#0000FF" "#000000"
"BC305_2" 63 "#0000FF" "#000000"
"BC306_2" 64 "#0000FF" "#000000"
"BC307_1" 65 "#0000FF" "#000000"
"BC309_1" 66 "#0000FF" "#000000"
"BC310_3" 67 "#0000FF" "#000000"
"C_19" 70 "#FDB714" "#FFFFFF"