GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-05-02T00:45:16+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/JonavosR.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 24
  • Shapes: 87
  • Stops: 310
  • Trips: 489

Specification Compliance report

10637 notices reported (0 errors, 10621 warnings, 16 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 2278

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 2278 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`.
"38063" 26115 93.9 13 26114 93.9 12
"38063" 26118 127.8 16 26117 127.8 15
"38063" 26185 2661.4 83 26184 2661.4 82
"38063" 26197 3762.4 95 26196 3762.4 94
"38063" 26235 5085.7 133 26234 5085.7 132
"38063" 26307 9422.9 205 26306 9422.9 204
"38063" 26345 11581.1 243 26344 11581.1 242
"38063" 26362 12153.0 260 26361 12153.0 259
"38063" 26367 12173.8 265 26366 12173.8 264
"38063" 26372 12197.2 270 26371 12197.2 269
"38063" 26381 12240.4 279 26380 12240.4 278
"38063" 26407 13367.9 305 26406 13367.9 304
"38063" 26485 17127.8 383 26484 17127.8 382
"38063" 26487 17217.3 385 26486 17217.3 384
"38063" 26520 19850.8 418 26519 19850.8 417
"38063" 26544 21709.5 442 26543 21709.5 441
"38063" 26568 22883.0 466 26567 22883.0 465
"38063" 26582 23569.5 480 26581 23569.5 479
"38063" 26588 23639.0 486 26587 23639.0 485
"38063" 26596 23811.0 494 26595 23811.0 493
"38063" 26604 24266.5 502 26603 24266.5 501
"38063" 26619 24671.8 517 26618 24671.8 516
"38063" 26665 25572.0 563 26664 25572.0 562
"38063" 26720 26790.1 618 26719 26790.1 617
"38063" 26765 26846.7 663 26764 26846.7 662
"38063" 26773 27038.0 671 26772 27038.0 670
"38063" 26779 27147.6 677 26778 27147.6 676
"38063" 26781 27214.3 679 26780 27214.3 678
"38020" 7761 13.5 3 7760 13.5 2
"38020" 7765 203.7 7 7764 203.7 6
"38020" 7767 310.2 9 7766 310.2 8
"38020" 7782 929.5 24 7781 929.5 23
"38020" 7795 1963.4 37 7794 1963.4 36
"38020" 7801 2299.6 43 7800 2299.6 42
"38020" 7804 2355.9 46 7803 2355.9 45
"38020" 7835 3212.4 77 7834 3212.4 76
"38020" 7875 5126.2 117 7874 5126.2 116
"38020" 7917 7450.7 159 7916 7450.7 158
"38020" 7938 8591.6 180 7937 8591.6 179
"38020" 7962 9571.9 204 7961 9571.9 203
"38020" 7970 10465.8 212 7969 10465.8 211
"38020" 7995 12250.6 237 7994 12250.6 236
"38020" 8029 13632.4 271 8028 13632.4 270
"38020" 8055 15330.2 297 8054 15330.2 296
"38020" 8080 16828.1 322 8079 16828.1 321
"38020" 8114 18873.7 356 8113 18873.7 355
"38020" 8134 20586.2 376 8133 20586.2 375
"38020" 8137 20663.6 379 8136 20663.6 378
"38020" 8150 21174.9 392 8149 21174.9 391
"38064" 26785 13.5 3 26784 13.5 2
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 8315

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 8315 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 "7882225" 0
3 "7882225" 1
4 "7882225" 2
5 "7882225" 3
6 "7882225" 4
7 "7882225" 5
8 "7882225" 6
9 "7882225" 7
10 "7882225" 8
11 "7882225" 9
12 "7882225" 10
13 "7882225" 11
14 "7882225" 12
15 "7882225" 13
16 "7882225" 14
17 "7882226" 0
18 "7882226" 1
19 "7882226" 2
20 "7882226" 3
21 "7882226" 4
22 "7882226" 5
23 "7882226" 6
24 "7882226" 7
25 "7882226" 8
26 "7882226" 9
27 "7882226" 10
28 "7882227" 0
29 "7882227" 1
30 "7882227" 2
31 "7882227" 3
32 "7882227" 4
33 "7882227" 5
34 "7882227" 6
35 "7882227" 7
36 "7882227" 8
37 "7882227" 9
38 "7882227" 10
39 "7882227" 11
40 "7882227" 12
41 "7882227" 13
42 "7882227" 14
43 "7882228" 0
44 "7882228" 1
45 "7882228" 2
46 "7882228" 3
47 "7882228" 4
48 "7882228" 5
49 "7882228" 6
50 "7882228" 7
51 "7882228" 8
mixed_case_recommended_field WARNING 26

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" "JONAVA-ŠĖTA" 2
"routes.txt" "route_long_name" "RIMKAI-MAXIMA-ŠVEICARIJA" 4
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 5
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 6
"routes.txt" "route_long_name" "JONAVA-RUKLA" 7
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 9
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 10
"routes.txt" "route_long_name" "JONAVA-ŽINĖNAI-PREIŠIOGALĖLĖ-JONAVA" 11
"routes.txt" "route_long_name" "JONAVA-KAUNAS" 12
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI" 13
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 14
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 15
"routes.txt" "route_long_name" "JONAVA-JUŠKONYS" 16
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 17
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 18
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 19
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 20
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 21
"routes.txt" "route_long_name" "JONAVA-KULVA" 22
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 23
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 24
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 25
"stops.txt" "stop_name" "25 -as km" 207
"stops.txt" "stop_name" "25 - as km" 224
"stops.txt" "stop_name" "28 - as km" 225
"stops.txt" "stop_name" "28 - as km" 255
stop_too_far_from_shape WARNING 1

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
84 "38037" "7882392" 2959 "70878" "Šveicarija" [55.04546,24.25836] 149.18478145589043
unknown_column INFO 16

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" "eligibility_restricted" 10
"routes.txt" "bikes_allowed" 11
"routes.txt" "regional_fare_card" 12
"stops.txt" "vehicle_type" 13
"stops.txt" "mta_stop_id" 16
"stops.txt" "regional_fare_card" 17
"stop_times.txt" "note_id" 3
"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