GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-03-26T02:30:18+02:00,
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`.
"37690" 4063 13.5 3 4062 13.5 2
"37690" 4067 203.7 7 4066 203.7 6
"37690" 4069 310.2 9 4068 310.2 8
"37690" 4084 929.5 24 4083 929.5 23
"37690" 4097 1963.4 37 4096 1963.4 36
"37690" 4103 2299.6 43 4102 2299.6 42
"37690" 4106 2355.9 46 4105 2355.9 45
"37690" 4137 3212.4 77 4136 3212.4 76
"37690" 4167 4660.8 107 4166 4660.8 106
"37690" 4175 5040.0 115 4174 5040.0 114
"37690" 4213 6646.2 153 4212 6646.2 152
"37690" 4240 7734.4 180 4239 7734.4 179
"37690" 4266 9284.5 206 4265 9284.5 205
"37690" 4279 10082.2 219 4278 10082.2 218
"37690" 4328 12699.8 268 4327 12699.8 267
"37690" 4331 12732.4 271 4330 12732.4 270
"37690" 4354 13905.6 294 4353 13905.6 293
"37690" 4374 14753.0 314 4373 14753.0 313
"37690" 4402 16596.6 342 4401 16596.6 341
"37690" 4404 16611.4 344 4403 16611.4 343
"37690" 4406 16626.3 346 4405 16626.3 345
"37690" 4423 17991.4 363 4422 17991.4 362
"37690" 4428 18393.5 368 4427 18393.5 367
"37690" 4490 22496.1 430 4489 22496.1 429
"37690" 4492 22559.4 432 4491 22559.4 431
"37691" 5354 2480.6 54 5353 2480.6 53
"37691" 5367 2991.9 67 5366 2991.9 66
"37691" 5370 3130.2 70 5369 3130.2 69
"37691" 5391 4848.1 91 5390 4848.1 90
"37691" 5423 6724.4 123 5422 6724.4 122
"37691" 5450 8376.4 150 5449 8376.4 149
"37691" 5475 10056.6 175 5474 10056.6 174
"37691" 5509 11457.3 209 5508 11457.3 208
"37691" 5534 13255.9 234 5533 13255.9 233
"37691" 5543 14179.6 243 5542 14179.6 242
"37691" 5588 16284.7 288 5587 16284.7 287
"37691" 5627 18644.9 327 5626 18644.9 326
"37691" 5663 20358.0 363 5662 20358.0 362
"37691" 5667 20443.0 367 5666 20443.0 366
"37691" 5699 21305.9 399 5698 21305.9 398
"37691" 5702 21355.9 402 5701 21355.9 401
"37691" 5709 21774.8 409 5708 21774.8 408
"37691" 5715 22253.9 415 5714 22253.9 414
"37691" 5722 22725.9 422 5721 22725.9 421
"37691" 5739 23607.3 439 5738 23607.3 438
"37691" 5745 23716.8 445 5744 23716.8 444
"37691" 5747 23783.6 447 5746 23783.6 446
"37692" 22014 753.2 16 22013 753.2 15
"37692" 22076 3231.6 78 22075 3231.6 77
"37692" 22079 3312.1 81 22078 3312.1 80
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 "7870073" 0
3 "7870073" 1
4 "7870073" 2
5 "7870073" 3
6 "7870073" 4
7 "7870073" 5
8 "7870073" 6
9 "7870073" 7
10 "7870073" 8
11 "7870073" 9
12 "7870073" 10
13 "7870073" 11
14 "7870073" 12
15 "7870073" 13
16 "7870073" 14
17 "7870073" 15
18 "7870073" 16
19 "7870073" 17
20 "7870073" 18
21 "7870073" 19
22 "7870073" 20
23 "7870073" 21
24 "7870073" 22
25 "7870073" 23
26 "7870074" 0
27 "7870074" 1
28 "7870074" 2
29 "7870074" 3
30 "7870074" 4
31 "7870074" 5
32 "7870074" 6
33 "7870074" 7
34 "7870074" 8
35 "7870074" 9
36 "7870075" 0
37 "7870075" 1
38 "7870075" 2
39 "7870075" 3
40 "7870075" 4
41 "7870075" 5
42 "7870075" 6
43 "7870075" 7
44 "7870075" 8
45 "7870075" 9
46 "7870076" 0
47 "7870076" 1
48 "7870076" 2
49 "7870076" 3
50 "7870076" 4
51 "7870076" 5
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" 3
"routes.txt" "route_long_name" "CENTRAS-RIMKAI" 4
"routes.txt" "route_long_name" "JONAVA-RUKLA" 7
"routes.txt" "route_long_name" "JONAVA-PREIŠIOGALĖLĖ-ŽINĖNAI-JONAVA" 8
"routes.txt" "route_long_name" "JONAVA-UPININKAI" 9
"routes.txt" "route_long_name" "JONAVA-BUKONYS" 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-JUŠKONYS" 15
"routes.txt" "route_long_name" "JONAVA-KĖDAINIAI" 16
"routes.txt" "route_long_name" "JONAVA-ŽEIMIAI" 17
"routes.txt" "route_long_name" "JONAVA - PAGELEŽIAI" 18
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-JUODMENA-RIMKAI" 19
"routes.txt" "route_long_name" "JONAVA-KULVA" 20
"routes.txt" "route_long_name" "JONAVA-GAIŽIŪNŲ STOTIS" 21
"routes.txt" "route_long_name" "JONAVA-PANOTERIAI-BUKONYS-ŠILAI-JONAVA" 22
"routes.txt" "route_long_name" "AUTOBUSŲ STOTIS-GLOBOS NAMAI-RIMKAI" 23
"routes.txt" "route_long_name" "JONAVA-KUIGALIAI PER NAUJASODĮ" 24
"routes.txt" "route_long_name" "JONAVA-KULVA PER JUODMENĄ" 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.
141 "37726" "7870157" 1446 "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