GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-04-18T04:25:13+03:00,
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: 25
  • Shapes: 116
  • Stops: 327
  • Trips: 376

Specification Compliance report

4843 notices reported (0 errors, 4811 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 199

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.

Only the first 50 of 199 affected records are displayed below.

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`.
"46721" 53554 523.7 15 53553 523.7 14
"46721" 53564 1042.6 25 53563 1042.6 24
"46721" 53570 1395.8 31 53569 1395.8 30
"46721" 53576 1754.5 37 53575 1754.5 36
"46721" 53591 2263.0 52 53590 2263.0 51
"46721" 53624 3060.3 85 53623 3060.3 84
"46721" 53658 3876.4 119 53657 3876.4 118
"46721" 53682 4284.1 143 53681 4284.1 142
"46721" 53686 4514.5 147 53685 4514.5 146
"46949" 55964 770.0 24 55963 770.0 23
"46949" 56014 1908.8 74 56013 1908.8 73
"46949" 56052 4166.4 112 56051 4166.4 111
"46949" 56128 7135.4 188 56127 7135.4 187
"46949" 56175 8349.0 235 56174 8349.0 234
"46949" 56282 11311.7 342 56281 11311.7 341
"46949" 56312 12095.7 372 56311 12095.7 371
"46949" 56440 18841.2 500 56439 18841.2 499
"46949" 56538 25722.9 598 56537 25722.9 597
"46949" 56571 27305.9 631 56570 27305.9 630
"47230" 58375 910.2 34 58374 910.2 33
"47230" 58465 3704.4 124 58464 3704.4 123
"47230" 58536 5135.5 195 58535 5135.5 194
"47230" 58585 6491.4 244 58584 6491.4 243
"47229" 57787 910.2 34 57786 910.2 33
"47229" 57877 3704.4 124 57876 3704.4 123
"47229" 57893 4274.6 140 57892 4274.6 139
"47229" 57925 6274.7 172 57924 6274.7 171
"47229" 57943 7273.1 190 57942 7273.1 189
"47229" 57961 8271.4 208 57960 8271.4 207
"47229" 57993 10271.5 240 57992 10271.5 239
"47229" 58009 10841.8 256 58008 10841.8 255
"47229" 58080 12272.9 327 58079 12272.9 326
"47229" 58129 13628.8 376 58128 13628.8 375
"44634" 49016 5264.3 221 49015 5264.3 220
"44634" 49057 6622.6 262 49056 6622.6 261
"44634" 49083 7459.6 288 49082 7459.6 287
"44634" 49139 8974.1 344 49138 8974.1 343
"44634" 49189 10128.5 394 49188 10128.5 393
"44634" 49267 13793.4 472 49266 13793.4 471
"44634" 49310 15338.4 515 49309 15338.4 514
"44634" 49366 17313.5 571 49365 17313.5 570
"44634" 49464 20585.7 669 49463 20585.7 668
"44634" 49503 21408.1 708 49502 21408.1 707
"44634" 49603 24816.5 808 49602 24816.5 807
"44634" 49694 28146.9 899 49693 28146.9 898
"44634" 49742 29047.3 947 49741 29047.3 946
"44634" 49818 31505.2 1023 49817 31505.2 1022
"44634" 49891 34218.1 1096 49890 34218.1 1095
"44634" 49940 36562.5 1145 49939 36562.5 1144
"44634" 49965 37462.8 1170 49964 37462.8 1169
expired_calendar WARNING 6

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.
12 "76307"
84 "76308"
13 "76309"
72 "76816"
29 "73341"
17 "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 4601

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 4601 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 4

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 - PUSNĖ" 6
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 20
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 24
"stops.txt" "stop_name" "kulniškiai" 237
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