GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-01-24T01:30:29+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/KaunoM.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: 0
  • Routes: 66
  • Shapes: 301
  • Stops: 962
  • Trips: 7298

Specification Compliance report

100094 notices reported (0 errors, 100092 warnings, 2 infos)

Notice Code Severity Total
expired_calendar WARNING 31

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.
201 "48698"
55 "48696"
59 "48694"
21 "44982"
209 "48750"
258 "48747"
54 "48744"
107 "48743"
302 "48742"
175 "48741"
309 "48740"
215 "49399"
96 "48737"
53 "48734"
180 "48733"
70 "48732"
22 "49709"
179 "49708"
49 "49707"
255 "48739"
24 "48738"
211 "49706"
136 "48729"
185 "48728"
218 "48715"
220 "49804"
200 "49803"
184 "48716"
198 "48708"
297 "49341"
35 "49338"
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 "7144270" 1
3 "7144270" 2
4 "7144270" 3
5 "7144270" 4
6 "7144270" 5
7 "7144270" 6
8 "7144270" 7
9 "7144270" 8
10 "7144270" 9
11 "7144270" 10
12 "7144270" 11
13 "7144270" 12
14 "7144270" 13
15 "7144270" 14
16 "7144270" 15
17 "7144270" 16
18 "7144270" 17
19 "7144270" 18
20 "7144270" 19
21 "7144270" 20
22 "7144270" 21
23 "7144270" 22
24 "7144270" 23
25 "7144270" 24
26 "7145282" 1
27 "7145282" 2
28 "7145282" 3
29 "7145282" 4
30 "7145282" 5
31 "7145282" 6
32 "7145282" 7
33 "7145282" 8
34 "7145282" 9
35 "7145282" 10
36 "7145282" 11
37 "7145282" 12
38 "7145282" 13
39 "7145282" 14
40 "7145282" 15
41 "7145282" 16
42 "7145282" 17
43 "7145282" 18
44 "7145282" 19
45 "7145282" 20
46 "7145282" 21
47 "7145282" 22
48 "7145514" 1
49 "7145514" 2
50 "7145514" 3
51 "7145514" 4