GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-06-30T02:50:22+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. 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: 84
  • Stops: 283
  • Trips: 310

Specification Compliance report

3902 notices reported (0 errors, 3870 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" 39951 1201.9 41 39950 1201.9 40
"37970" 39971 1863.2 61 39970 1863.2 60
"37970" 40012 2775.7 102 40011 2775.7 101
"37931" 38630 395.9 13 38629 395.9 12
"37931" 38658 1216.4 41 38657 1216.4 40
"37931" 38689 2052.0 72 38688 2052.0 71
"37931" 38695 2160.1 78 38694 2160.1 77
"37931" 38706 2567.3 89 38705 2567.3 88
"37931" 38725 3286.9 108 38724 3286.9 107
"37931" 38736 3776.2 119 38735 3776.2 118
"37931" 38753 4473.7 136 38752 4473.7 135
"37931" 38762 4865.4 145 38761 4865.4 144
"37931" 38795 5640.0 178 38794 5640.0 177
"37931" 38809 6387.7 192 38808 6387.7 191
"37931" 38810 6387.7 193 38809 6387.7 192
"37931" 38827 7094.1 210 38826 7094.1 209
"37931" 38836 7437.4 219 38835 7437.4 218
"37931" 38852 8446.9 235 38851 8446.9 234
"37931" 38875 9263.3 258 38874 9263.3 257
"37931" 38888 9731.1 271 38887 9731.1 270
"37931" 38900 10459.7 283 38899 10459.7 282
"37931" 38905 10740.8 288 38904 10740.8 287
"37932" 38969 1184.9 44 38968 1184.9 43
"37933" 39015 838.0 18 39014 838.0 17
"37933" 39024 1112.2 27 39023 1112.2 26
"37933" 39043 1886.9 46 39042 1886.9 45
"37933" 39046 2109.1 49 39045 2109.1 48
"37933" 39054 2341.6 57 39053 2341.6 56
"37933" 39062 2683.3 65 39061 2683.3 64
"37934" 39124 824.6 30 39123 824.6 29
"37934" 39167 2009.4 73 39166 2009.4 72
"37934" 39184 2847.4 90 39183 2847.4 89
"37934" 39193 3121.6 99 39192 3121.6 98
"37934" 39212 3896.3 118 39211 3896.3 117
"37934" 39215 4118.5 121 39214 4118.5 120
"37934" 39223 4351.0 129 39222 4351.0 128
"37934" 39230 4583.8 136 39229 4583.8 135
"37935" 39278 747.6 15 39277 747.6 14
"37935" 39286 922.0 23 39285 922.0 22
"37935" 39341 2337.3 78 39340 2337.3 77
"37935" 39349 2618.6 86 39348 2618.6 85
"37935" 39356 2823.9 93 39355 2823.9 92
"37935" 39359 3159.1 96 39358 3159.1 95
"37935" 39377 3906.4 114 39376 3906.4 113
"37935" 39388 4288.4 125 39387 4288.4 124
"37935" 39403 4987.8 140 39402 4987.8 139
"37935" 39446 6142.0 183 39445 6142.0 182
"37969" 39828 570.0 15 39827 570.0 14
"37969" 39878 1716.7 65 39877 1716.7 64
"37969" 39885 2111.7 72 39884 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.
56 "5232" "48166" 12 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
65 "26974" "7317012" 234 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
65 "26974" "7317012" 235 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
65 "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