GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-02-04T04:25:14+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: 120
  • Stops: 336
  • Trips: 380

Specification Compliance report

4896 notices reported (0 errors, 4864 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 206

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 206 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" 56976 523.7 15 56975 523.7 14
"46721" 56986 1042.6 25 56985 1042.6 24
"46721" 56992 1395.8 31 56991 1395.8 30
"46721" 56998 1754.5 37 56997 1754.5 36
"46721" 57013 2263.0 52 57012 2263.0 51
"46721" 57046 3060.3 85 57045 3060.3 84
"46721" 57080 3876.4 119 57079 3876.4 118
"46721" 57104 4284.1 143 57103 4284.1 142
"46721" 57108 4514.5 147 57107 4514.5 146
"46949" 59386 770.0 24 59385 770.0 23
"46949" 59436 1908.8 74 59435 1908.8 73
"46949" 59474 4166.4 112 59473 4166.4 111
"46949" 59550 7135.4 188 59549 7135.4 187
"46949" 59597 8349.0 235 59596 8349.0 234
"46949" 59704 11311.7 342 59703 11311.7 341
"46949" 59734 12095.7 372 59733 12095.7 371
"46949" 59862 18841.2 500 59861 18841.2 499
"46949" 59960 25722.9 598 59959 25722.9 597
"46949" 59993 27305.9 631 59992 27305.9 630
"47230" 61797 910.2 34 61796 910.2 33
"47230" 61887 3704.4 124 61886 3704.4 123
"47230" 61958 5135.5 195 61957 5135.5 194
"47230" 62007 6491.4 244 62006 6491.4 243
"47229" 61209 910.2 34 61208 910.2 33
"47229" 61299 3704.4 124 61298 3704.4 123
"47229" 61315 4274.6 140 61314 4274.6 139
"47229" 61347 6274.7 172 61346 6274.7 171
"47229" 61365 7273.1 190 61364 7273.1 189
"47229" 61383 8271.4 208 61382 8271.4 207
"47229" 61415 10271.5 240 61414 10271.5 239
"47229" 61431 10841.8 256 61430 10841.8 255
"47229" 61502 12272.9 327 61501 12272.9 326
"47229" 61551 13628.8 376 61550 13628.8 375
"44634" 51766 5264.3 221 51765 5264.3 220
"44634" 51807 6622.6 262 51806 6622.6 261
"44634" 51833 7459.6 288 51832 7459.6 287
"44634" 51889 8974.1 344 51888 8974.1 343
"44634" 51939 10128.5 394 51938 10128.5 393
"44634" 52017 13793.4 472 52016 13793.4 471
"44634" 52060 15338.4 515 52059 15338.4 514
"44634" 52116 17313.5 571 52115 17313.5 570
"44634" 52214 20585.7 669 52213 20585.7 668
"44634" 52253 21408.1 708 52252 21408.1 707
"44634" 52353 24816.5 808 52352 24816.5 807
"44634" 52444 28146.9 899 52443 28146.9 898
"44634" 52492 29047.3 947 52491 29047.3 946
"44634" 52568 31505.2 1023 52567 31505.2 1022
"44634" 52641 34218.1 1096 52640 34218.1 1095
"44634" 52690 36562.5 1145 52689 36562.5 1144
"44634" 52715 37462.8 1170 52714 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 4646

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 4646 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 5

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" 5
"routes.txt" "route_long_name" "ŠIRVINTOS - UKMERGĖ - ŠIRVINTOS" 20
"routes.txt" "route_long_name" "ŽELVA - KIAUKLIAI" 23
"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