GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-01-16T02:40:14+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/PakruojoR.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: 48
  • Shapes: 109
  • Stops: 280
  • Trips: 128

Specification Compliance report

1725 notices reported (0 errors, 1723 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 13

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.
"4571" 27264 11713.3 325 27263 11713.3 324 0.06234682915415588
"4571" 27265 11713.3 326 27264 11713.3 325 0.06234682915415588
"34854" 9949 11713.3 325 9948 11713.3 324 0.06234682915415588
"34854" 9950 11713.3 326 9949 11713.3 325 0.06234682915415588
"15279" 19034 11652.3 181 19033 11652.3 180 0.06234682915415588
"4871" 42186 11713.3 325 42185 11713.3 324 0.06234682915415588
"4871" 42187 11713.3 326 42186 11713.3 325 0.06234682915415588
"4878" 41726 11713.3 325 41725 11713.3 324 0.06234682915415588
"4878" 41727 11713.3 326 41726 11713.3 325 0.06234682915415588
"4912" 636 11713.3 325 635 11713.3 324 0.06234682915415588
"4912" 637 11713.3 326 636 11713.3 325 0.06234682915415588
"4884" 43102 11713.3 325 43101 11713.3 324 0.06234682915415588
"7096" 36867 11652.3 181 36866 11652.3 180 0.06234682915415588
equal_shape_distance_same_coordinates WARNING 18

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`.
"5021" 36469 22085.5 138 36468 22085.5 137
"5021" 36484 26122.8 153 36483 26122.8 152
"5021" 36548 41244.8 217 36547 41244.8 216
"7966" 63361 20881.0 155 63360 20881.0 154
"7966" 63410 33168.1 204 63409 33168.1 203
"4885" 43284 13355.4 50 43283 13355.4 49
"4885" 43307 14812.3 73 43306 14812.3 72
"14519" 49503 45438.3 290 49502 45438.3 289
"14520" 52997 33370.9 210 52996 33370.9 209
"14520" 53006 34398.9 219 53005 34398.9 218
"14520" 53022 37858.8 235 53021 37858.8 234
"14520" 53031 39162.5 244 53030 39162.5 243
"14520" 53045 41214.1 258 53044 41214.1 257
"14520" 53119 55010.9 332 53118 55010.9 331
"14520" 53128 56038.9 341 53127 56038.9 340
"14520" 53152 60191.8 365 53151 60191.8 364
"14520" 53161 61495.6 374 53160 61495.6 373
"14520" 53175 63547.2 388 53174 63547.2 387
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 1691

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 1691 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 "43720" 1
3 "43720" 2
4 "43720" 3
5 "43720" 4
6 "43720" 5
7 "43734" 1
8 "43734" 2
9 "43734" 3
10 "43734" 4
11 "43734" 5
12 "44825" 1
13 "44825" 2
14 "44825" 3
15 "44825" 4
16 "44825" 5
17 "44825" 6
18 "44825" 7
19 "44825" 8
20 "44825" 9
21 "44825" 10
22 "44825" 11
23 "44825" 12
24 "44825" 13
25 "44892" 1
26 "44892" 2
27 "44892" 3
28 "44892" 4
29 "44892" 5
30 "44892" 6
31 "44892" 7
32 "44892" 8
33 "44892" 9
34 "44892" 10
35 "44892" 11
36 "44892" 12
37 "44892" 13
38 "44892" 14
39 "44892" 15
40 "44892" 16
41 "44892" 17
42 "44892" 18
43 "44892" 19
44 "44892" 20
45 "46519" 1
46 "46519" 2
47 "46519" 3
48 "46519" 4
49 "46519" 5
50 "46519" 6
51 "46519" 7
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