GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2024-12-20T02:40:13+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/KretingosR.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: 44
  • Shapes: 78
  • Stops: 284
  • Trips: 276

Specification Compliance report

4330 notices reported (0 errors, 4328 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 10

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"34101" 28185 3241.6 163 28184 3241.6 162 0.0623586881758763
"34067" 27963 49177.4 805 27962 49177.4 804 0.0623586881758763
"34096" 16235 3241.6 163 16234 3241.6 162 0.0623586881758763
"33969" 3815 38911.6 654 3814 38911.6 653 0.0623586881758763
"34086" 37942 3793.2 180 37941 3793.2 179 0.0623586881758763
"34086" 38488 17842.1 726 38487 17842.1 725 0.06236154185211733
"34084" 18700 3793.2 180 18699 3793.2 179 0.0623586881758763
"33950" 6188 42609.2 716 6187 42609.2 715 0.0623586881758763
"33839" 33373 31015.9 528 33372 31015.9 527 0.0623586881758763
"34079" 32067 10297.4 210 32066 10297.4 209 0.06236154185211733
equal_shape_distance_same_coordinates WARNING 10

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`.
"33971" 15855 26845.6 695 15854 26845.6 694
"34101" 28819 17790.7 797 28818 17790.7 796
"34096" 16858 17507.2 786 16857 17507.2 785
"34092" 3151 7063.2 314 3150 7063.2 313
"34086" 38513 17891.4 751 38512 17891.4 750
"34084" 19259 17607.9 739 19258 17607.9 738
"34077" 32635 14827.7 333 32634 14827.7 332
"34079" 32092 10346.7 235 32091 10346.7 234
"14523" 21296 8108.5 380 21295 8108.5 379
"14524" 19695 9643.8 426 19694 9643.8 425
expired_calendar WARNING 1

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.
19 "48594"
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 4306

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 4306 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 "7556444" 1
3 "7556444" 2
4 "7556444" 3
5 "7556444" 4
6 "7556444" 5
7 "7556444" 6
8 "7556444" 7
9 "7556444" 8
10 "7556444" 9
11 "7556444" 10
12 "7556444" 11
13 "7556444" 12
14 "7556444" 13
15 "7556444" 14
16 "7556445" 1
17 "7556445" 2
18 "7556445" 3
19 "7556445" 4
20 "7556445" 5
21 "7556445" 6
22 "7556445" 7
23 "7556445" 8
24 "7556445" 9
25 "7556445" 10
26 "7556445" 11
27 "7556445" 12
28 "7556445" 13
29 "7556445" 14
30 "7557965" 1
31 "7557965" 2
32 "7557965" 3
33 "7557965" 4
34 "7557965" 5
35 "7557965" 6
36 "7557965" 7
37 "7557965" 8
38 "7557965" 9
39 "7557965" 10
40 "7557965" 11
41 "7557965" 12
42 "7557965" 13
43 "7557965" 14
44 "7557966" 1
45 "7557966" 2
46 "7557966" 3
47 "7557966" 4
48 "7557966" 5
49 "7557966" 6
50 "7557966" 7
51 "7557966" 8
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