GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-03-14T03:20:29+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/VilniausM.zip. No country code was provided.

Use this report alongside our documentation.

⚠ This feed contains GTFS Flex features. Please note that GTFS Flex validation support is still in development. You can manually review all the validation rules for Flex data here.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

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: 0
  • Routes: 107
  • Shapes: 671
  • Stops: 1518
  • Trips: 27439

Specification Compliance report

100035 notices reported (0 errors, 100019 warnings, 16 infos)

Notice Code Severity Total
expired_calendar WARNING 10

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.
671 "50088"
206 "50089"
404 "50091"
138 "50090"
252 "50093"
57 "50092"
643 "59100"
488 "59102"
1091 "59101"
1092 "59103"
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"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "7752119" 1
3 "7752119" 2
4 "7752119" 3
5 "7752119" 4
6 "7752119" 5
7 "7752119" 6
8 "7752119" 7
9 "7752119" 8
10 "7752119" 9
11 "7752119" 10
12 "7752119" 11
13 "7752119" 12
14 "7752119" 13
15 "7752119" 14
16 "7752119" 15
17 "7752119" 16
18 "7752119" 17
19 "7752119" 18
20 "7752119" 19
21 "7752119" 20
22 "7752119" 21
23 "7752119" 22
24 "7752119" 23
25 "7752119" 24
26 "7752119" 25
27 "7752121" 1
28 "7752121" 2
29 "7752121" 3
30 "7752121" 4
31 "7752121" 5
32 "7752121" 6
33 "7752121" 7
34 "7752121" 8
35 "7752121" 9
36 "7752121" 10
37 "7752121" 11
38 "7752121" 12
39 "7752121" 13
40 "7752121" 14
41 "7752121" 15
42 "7752121" 16
43 "7752121" 17
44 "7752121" 18
45 "7752121" 19
46 "7752121" 20
47 "7752121" 21
48 "7752121" 22
49 "7752121" 23
50 "7752121" 24
51 "7752123" 1
mixed_case_recommended_field WARNING 8

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" "2-asis paplūdimys" 304
"stops.txt" "stop_name" "1-asis paplūdimys" 339
"stops.txt" "stop_name" "MO muziejus" 736
"stops.txt" "stop_name" "MO muziejus" 760
"stops.txt" "stop_name" "1-asis paplūdimys" 1268
"stops.txt" "stop_name" "2-asis paplūdimys" 1277
"stops.txt" "stop_name" "9-asis kilometras" 1282
"stops.txt" "stop_name" "9-asis kilometras" 1291
unknown_column INFO 16

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.
"routes.txt" "eligibility_restricted" 10
"routes.txt" "bikes_allowed" 11
"routes.txt" "regional_fare_card" 12
"stops.txt" "vehicle_type" 13
"stops.txt" "mta_stop_id" 16
"stops.txt" "regional_fare_card" 17
"stop_times.txt" "note_id" 3
"trips.txt" "note_id" 2
"trips.txt" "mean_duration_factor" 12
"trips.txt" "mean_duration_offset" 13
"trips.txt" "safe_duration_factor" 14
"trips.txt" "safe_duration_offset" 15
"trips.txt" "cars_allowed" 16
"trips.txt" "peak_offpeak" 17
"trips.txt" "mta_trip_id" 18
"trips.txt" "boarding_type" 19