GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2024-12-18T01:30:13+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/UtenosR.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: 34
  • Shapes: 85
  • Stops: 389
  • Trips: 329

Specification Compliance report

4659 notices reported (0 errors, 4657 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 3

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"21160" 22246 53661.0 1532 22245 53661.0 1531
"2661" 12336 15430.9 137 12335 15430.9 136
"2661" 12371 20014.2 172 12370 20014.2 171
expired_calendar WARNING 2

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.
39 "30667"
28 "48492"
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 4649

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 4649 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 "44352" 1
3 "44352" 2
4 "44352" 3
5 "44352" 4
6 "44352" 5
7 "44352" 6
8 "44352" 7
9 "44352" 8
10 "44352" 9
11 "44352" 10
12 "44352" 11
13 "44352" 12
14 "44352" 13
15 "44352" 14
16 "44352" 15
17 "44352" 16
18 "44352" 17
19 "44352" 18
20 "44352" 19
21 "44352" 20
22 "44353" 1
23 "44353" 2
24 "44353" 3
25 "44353" 4
26 "44353" 5
27 "44353" 6
28 "44353" 7
29 "44353" 8
30 "44353" 9
31 "44353" 10
32 "44353" 11
33 "44353" 12
34 "44353" 13
35 "44353" 14
36 "44353" 15
37 "44353" 16
38 "44353" 17
39 "44353" 18
40 "44353" 19
41 "44353" 20
42 "44374" 1
43 "44374" 2
44 "44374" 3
45 "44374" 4
46 "44374" 5
47 "44374" 6
48 "44374" 7
49 "44374" 8
50 "44374" 9
51 "44374" 10
mixed_case_recommended_field WARNING 2

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" "sodai" 2
"stops.txt" "stop_name" "sodai" 49
unknown_column INFO 2

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" "bikes_allowed" 9
"stops.txt" "vehicle_type" 13