GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-01-05T02:50:12+02:00,
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. fare_attributes.txt
  4. fare_rules.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 34
  • Shapes: 83
  • Stops: 283
  • Trips: 307

Specification Compliance report

3866 notices reported (0 errors, 3834 warnings, 32 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" 47821 1201.9 41 47820 1201.9 40
"37970" 47841 1863.2 61 47840 1863.2 60
"37970" 47882 2775.7 102 47881 2775.7 101
"37931" 46500 395.9 13 46499 395.9 12
"37931" 46528 1216.4 41 46527 1216.4 40
"37931" 46559 2052.0 72 46558 2052.0 71
"37931" 46565 2160.1 78 46564 2160.1 77
"37931" 46576 2567.3 89 46575 2567.3 88
"37931" 46595 3286.9 108 46594 3286.9 107
"37931" 46606 3776.2 119 46605 3776.2 118
"37931" 46623 4473.7 136 46622 4473.7 135
"37931" 46632 4865.4 145 46631 4865.4 144
"37931" 46665 5640.0 178 46664 5640.0 177
"37931" 46679 6387.7 192 46678 6387.7 191
"37931" 46680 6387.7 193 46679 6387.7 192
"37931" 46697 7094.1 210 46696 7094.1 209
"37931" 46706 7437.4 219 46705 7437.4 218
"37931" 46722 8446.9 235 46721 8446.9 234
"37931" 46745 9263.3 258 46744 9263.3 257
"37931" 46758 9731.1 271 46757 9731.1 270
"37931" 46770 10459.7 283 46769 10459.7 282
"37931" 46775 10740.8 288 46774 10740.8 287
"37932" 46839 1184.9 44 46838 1184.9 43
"37933" 46885 838.0 18 46884 838.0 17
"37933" 46894 1112.2 27 46893 1112.2 26
"37933" 46913 1886.9 46 46912 1886.9 45
"37933" 46916 2109.1 49 46915 2109.1 48
"37933" 46924 2341.6 57 46923 2341.6 56
"37933" 46932 2683.3 65 46931 2683.3 64
"37934" 46994 824.6 30 46993 824.6 29
"37934" 47037 2009.4 73 47036 2009.4 72
"37934" 47054 2847.4 90 47053 2847.4 89
"37934" 47063 3121.6 99 47062 3121.6 98
"37934" 47082 3896.3 118 47081 3896.3 117
"37934" 47085 4118.5 121 47084 4118.5 120
"37934" 47093 4351.0 129 47092 4351.0 128
"37934" 47100 4583.8 136 47099 4583.8 135
"37935" 47148 747.6 15 47147 747.6 14
"37935" 47156 922.0 23 47155 922.0 22
"37935" 47211 2337.3 78 47210 2337.3 77
"37935" 47219 2618.6 86 47218 2618.6 85
"37935" 47226 2823.9 93 47225 2823.9 92
"37935" 47229 3159.1 96 47228 3159.1 95
"37935" 47247 3906.4 114 47246 3906.4 113
"37935" 47258 4288.4 125 47257 4288.4 124
"37935" 47273 4987.8 140 47272 4987.8 139
"37935" 47316 6142.0 183 47315 6142.0 182
"37969" 47698 570.0 15 47697 570.0 14
"37969" 47748 1716.7 65 47747 1716.7 64
"37969" 47755 2111.7 72 47754 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 3601

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 3601 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.
10 "5232" "56646" 60 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
206 "26974" "7317012" 234 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
206 "26974" "7317012" 235 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
206 "26974" "7317012" 250 "19491" "Plungės autobusų stotis" [55.918779,21.851513000000004] 152.03315218543798
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