GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-09-15T03:35:16+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/SiauliuR.zip. No country code was provided.

Use this report alongside our documentation.

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: 13
  • Shapes: 29
  • Stops: 271
  • Trips: 138

Specification Compliance report

105 notices reported (0 errors, 73 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 12

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`.
"16570" 5668 16490.1 440 5667 16490.1 439
"16570" 5683 16672.4 455 5682 16672.4 454
"16675" 7852 14396.1 344 7851 14396.1 343
"16675" 7867 14578.4 359 7866 14578.4 358
"16612" 6854 19188.3 597 6853 19188.3 596
"16612" 6869 19354.6 612 6868 19354.6 611
"16676" 8811 28853.2 482 8810 28853.2 481
"16676" 8826 29019.5 497 8825 29019.5 496
"16949" 11036 7798.1 157 11035 7798.1 156
"16949" 11051 7964.4 172 11050 7964.4 171
"16948" 10725 16490.1 440 10724 16490.1 439
"16948" 10740 16672.4 455 10739 16672.4 454
expired_calendar WARNING 9

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.
7 "17343"
12 "17222"
15 "16572"
14 "13033"
10 "20239"
13 "20237"
11 "12709"
5 "14823"
2 "13105"
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"
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.
"stops.txt" "stop_name" "140 km" 63
"stops.txt" "stop_name" "140 km" 64
"stops.txt" "stop_name" "140 km" 151
"stops.txt" "stop_name" "140 km" 152
stop_without_stop_time WARNING 47

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
2 "41_1011" "Bubiai"
3 "41_1017" "Lieporiai"
4 "41_1032" "Vėgeliai"
6 "41_1038" "Narušaičiai"
11 "41_1048" "Šilo Pavėžupis"
13 "41_1050" "Grimziai"
14 "41_1051" "Elvyrava"
15 "41_1052" "Kukečiai"
16 "41_1053" "Paverpenis"
17 "41_1054" "Gyvenvietė"
18 "41_1056" "Gyvenvietė"
19 "41_1057" "Paverpenis"
20 "41_1058" "Kukečiai"
21 "41_1059" "Elvyrava"
22 "41_1060" "Grimziai"
23 "41_1061" "Noreišiai"
24 "41_1062" "Šilo Pavėžupis"
25 "41_1063" "Gordai"
27 "41_1066" "Geluvos sodai"
40 "41_1178" "Gudeliai"
41 "41_1179" "Tytuvėnėliai"
42 "41_1181" "Tytuvėnėliai"
43 "41_1182" "Gudeliai"
53 "41_2981" "Giedriai"
106 "41_4881" "Naisiai"
137 "41_930" "Lingailiai"
138 "41_931" "Einoraičiai"
139 "41_936" "Giedriai"
140 "41_942" "Einoraičių st."
141 "41_944" "Lingailiai"
142 "41_950" "Beržynė"
143 "41_951" "Beržynė"
144 "41_952" "Aukštelkė"
145 "41_953" "Aukštelkė"
146 "41_954" "Bubių miestelis"
147 "41_957" "Sodai per Bubius"
149 "41_959" "Meškiai"
150 "41_960" "Meškiai"
151 "41_961" "140 km"
152 "41_962" "140 km"
154 "41_968" "Bazilionai"
157 "41_978" "Lieporių k."
159 "41_987" "Bubiai"
267 "44_2856" "Lieporiai"
268 "44_2857" "Lieporių k."
269 "44_2974" "Giedriai"
270 "44_2975" "Pakapė"
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