GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-12-09T04:25:15+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/UkmergesR.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. fare_attributes.txt
  5. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 26
  • Shapes: 119
  • Stops: 329
  • Trips: 395

Specification Compliance report

4882 notices reported (0 errors, 4850 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 29

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`.
"44634" 60567 5264.3 221 60566 5264.3 220
"44634" 60608 6622.6 262 60607 6622.6 261
"44634" 60634 7459.6 288 60633 7459.6 287
"44634" 60690 8974.1 344 60689 8974.1 343
"44634" 60740 10128.5 394 60739 10128.5 393
"44634" 60818 13793.4 472 60817 13793.4 471
"44634" 60861 15338.4 515 60860 15338.4 514
"44634" 60917 17313.5 571 60916 17313.5 570
"44634" 61015 20585.7 669 61014 20585.7 668
"44634" 61054 21408.1 708 61053 21408.1 707
"44634" 61154 24816.5 808 61153 24816.5 807
"44634" 61245 28146.9 899 61244 28146.9 898
"44634" 61293 29047.3 947 61292 29047.3 946
"44634" 61369 31505.2 1023 61368 31505.2 1022
"44634" 61442 34218.1 1096 61441 34218.1 1095
"44634" 61491 36562.5 1145 61490 36562.5 1144
"44634" 61516 37462.8 1170 61515 37462.8 1169
"44634" 61574 38652.9 1228 61573 38652.9 1227
"44634" 61632 39842.9 1286 61631 39842.9 1285
"44634" 61695 42491.8 1349 61694 42491.8 1348
"22929" 20570 10692.2 126 20569 10692.2 125
"22929" 20589 12831.4 145 20588 12831.4 144
"46058" 61883 3561.9 136 61882 3561.9 135
"46058" 62015 7704.4 268 62014 7704.4 267
"46058" 62102 10484.3 355 62101 10484.3 354
"46058" 62120 12137.0 373 62119 12137.0 372
"46058" 62167 14377.0 420 62166 14377.0 419
"46058" 62265 18193.6 518 62264 18193.6 517
"46058" 62412 22413.7 665 62411 22413.7 664
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.
24 "73341"
12 "1271"
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 4815

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 4815 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 "47895" 1
3 "47895" 2
4 "47895" 3
5 "47895" 4
6 "47895" 5
7 "47895" 6
8 "47895" 7
9 "47895" 8
10 "47895" 9
11 "47895" 10
12 "47895" 11
13 "47895" 12
14 "47895" 13
15 "47895" 14
16 "47898" 1
17 "47898" 2
18 "47898" 3
19 "47898" 4
20 "47898" 5
21 "47898" 6
22 "47898" 7
23 "47898" 8
24 "47898" 9
25 "47898" 10
26 "47898" 11
27 "47898" 12
28 "47898" 13
29 "47898" 14
30 "58711" 1
31 "58711" 2
32 "58711" 3
33 "58711" 4
34 "58711" 5
35 "58711" 6
36 "58711" 7
37 "58711" 8
38 "58711" 9
39 "58711" 10
40 "58715" 1
41 "58715" 2
42 "58715" 3
43 "58715" 4
44 "58715" 5
45 "58715" 6
46 "58715" 7
47 "58715" 8
48 "58715" 9
49 "58715" 10
50 "58717" 1
51 "58717" 2
mixed_case_recommended_field WARNING 3

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.
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 25
"routes.txt" "route_long_name" "UKMERGĖ- MIŠNIŪNAI PER LIAUŠIUS" 26
"stops.txt" "stop_name" "kulniškiai" 241
unknown_column INFO 32

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.
"fare_attributes.txt" "journey_duration" 8
"routes.txt" "eligibility_restricted" 11
"routes.txt" "bikes_allowed" 12
"routes.txt" "regional_fare_card" 14
"stops.txt" "stop_direction" 12
"stops.txt" "vehicle_type" 14
"stops.txt" "mta_stop_id" 17
"stops.txt" "regional_fare_card" 18
"stop_times.txt" "start_service_area_id" 1
"stop_times.txt" "end_service_area_id" 2
"stop_times.txt" "note_id" 5
"stop_times.txt" "to_stop_sequence" 16
"stop_times.txt" "route_short_name" 18
"stop_times.txt" "start_service_area_radius" 24
"stop_times.txt" "end_service_area_radius" 25
"stop_times.txt" "fare_period_id" 26
"stop_times.txt" "departure_buffer" 27
"stop_times.txt" "track" 28
"stop_times.txt" "mean_duration_factor" 29
"stop_times.txt" "mean_duration_offset" 30
"stop_times.txt" "safe_duration_factor" 31
"stop_times.txt" "safe_duration_offset" 32
"stop_times.txt" "free_running_flag" 33
"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