GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-04-14T02:50:21+03:00,
for the dataset https://www.visimarsrutai.lt/gtfs/PlungesR.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: 34
  • Shapes: 84
  • Stops: 283
  • Trips: 310

Specification Compliance report

3886 notices reported (0 errors, 3870 warnings, 16 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 226

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 226 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`.
"37970" 48446 1201.9 41 48445 1201.9 40
"37970" 48466 1863.2 61 48465 1863.2 60
"37970" 48507 2775.7 102 48506 2775.7 101
"37931" 47125 395.9 13 47124 395.9 12
"37931" 47153 1216.4 41 47152 1216.4 40
"37931" 47184 2052.0 72 47183 2052.0 71
"37931" 47190 2160.1 78 47189 2160.1 77
"37931" 47201 2567.3 89 47200 2567.3 88
"37931" 47220 3286.9 108 47219 3286.9 107
"37931" 47231 3776.2 119 47230 3776.2 118
"37931" 47248 4473.7 136 47247 4473.7 135
"37931" 47257 4865.4 145 47256 4865.4 144
"37931" 47290 5640.0 178 47289 5640.0 177
"37931" 47304 6387.7 192 47303 6387.7 191
"37931" 47305 6387.7 193 47304 6387.7 192
"37931" 47322 7094.1 210 47321 7094.1 209
"37931" 47331 7437.4 219 47330 7437.4 218
"37931" 47347 8446.9 235 47346 8446.9 234
"37931" 47370 9263.3 258 47369 9263.3 257
"37931" 47383 9731.1 271 47382 9731.1 270
"37931" 47395 10459.7 283 47394 10459.7 282
"37931" 47400 10740.8 288 47399 10740.8 287
"37932" 47464 1184.9 44 47463 1184.9 43
"37933" 47510 838.0 18 47509 838.0 17
"37933" 47519 1112.2 27 47518 1112.2 26
"37933" 47538 1886.9 46 47537 1886.9 45
"37933" 47541 2109.1 49 47540 2109.1 48
"37933" 47549 2341.6 57 47548 2341.6 56
"37933" 47557 2683.3 65 47556 2683.3 64
"37934" 47619 824.6 30 47618 824.6 29
"37934" 47662 2009.4 73 47661 2009.4 72
"37934" 47679 2847.4 90 47678 2847.4 89
"37934" 47688 3121.6 99 47687 3121.6 98
"37934" 47707 3896.3 118 47706 3896.3 117
"37934" 47710 4118.5 121 47709 4118.5 120
"37934" 47718 4351.0 129 47717 4351.0 128
"37934" 47725 4583.8 136 47724 4583.8 135
"37935" 47773 747.6 15 47772 747.6 14
"37935" 47781 922.0 23 47780 922.0 22
"37935" 47836 2337.3 78 47835 2337.3 77
"37935" 47844 2618.6 86 47843 2618.6 85
"37935" 47851 2823.9 93 47850 2823.9 92
"37935" 47854 3159.1 96 47853 3159.1 95
"37935" 47872 3906.4 114 47871 3906.4 113
"37935" 47883 4288.4 125 47882 4288.4 124
"37935" 47898 4987.8 140 47897 4987.8 139
"37935" 47941 6142.0 183 47940 6142.0 182
"37969" 48323 570.0 15 48322 570.0 14
"37969" 48373 1716.7 65 48372 1716.7 64
"37969" 48380 2111.7 72 48379 2111.7 71
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 3637

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 3637 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 "48165" 1
3 "48165" 2
4 "48165" 3
5 "48165" 4
6 "48165" 5
7 "48165" 6
8 "48165" 7
9 "48165" 8
10 "48166" 1
11 "48166" 2
12 "48166" 3
13 "48166" 4
14 "48166" 5
15 "48166" 6
16 "48166" 7
17 "48166" 8
18 "48167" 1
19 "48167" 2
20 "48167" 3
21 "48167" 4
22 "48167" 5
23 "48167" 6
24 "48167" 7
25 "48167" 8
26 "48169" 1
27 "48169" 2
28 "48169" 3
29 "48169" 4
30 "48169" 5
31 "48169" 6
32 "48169" 7
33 "48169" 8
34 "48176" 1
35 "48176" 2
36 "48176" 3
37 "48176" 4
38 "48176" 5
39 "48176" 6
40 "48176" 7
41 "48176" 8
42 "48177" 1
43 "48177" 2
44 "48177" 3
45 "48177" 4
46 "48177" 5
47 "48177" 6
48 "48177" 7
49 "48177" 8
50 "56644" 1
51 "56644" 2
mixed_case_recommended_field WARNING 2

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" "padago" 274
"stops.txt" "stop_name" "sodo" 275
stop_too_far_from_shape WARNING 4

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.
69 "5232" "56646" 60 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
162 "26974" "7317012" 234 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
162 "26974" "7317012" 235 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
162 "26974" "7317012" 250 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
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