GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-03-27T01:40:18+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: 32
  • Shapes: 78
  • Stops: 278
  • Trips: 279

Specification Compliance report

3493 notices reported (0 errors, 3461 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 165

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 165 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" 9520 1201.9 41 9519 1201.9 40
"37970" 9540 1863.2 61 9539 1863.2 60
"37970" 9581 2775.7 102 9580 2775.7 101
"37931" 37361 395.9 13 37360 395.9 12
"37931" 37389 1216.4 41 37388 1216.4 40
"37931" 37420 2052.0 72 37419 2052.0 71
"37931" 37426 2160.1 78 37425 2160.1 77
"37931" 37437 2567.3 89 37436 2567.3 88
"37931" 37456 3286.9 108 37455 3286.9 107
"37931" 37467 3776.2 119 37466 3776.2 118
"37931" 37484 4473.7 136 37483 4473.7 135
"37931" 37493 4865.4 145 37492 4865.4 144
"37931" 37526 5640.0 178 37525 5640.0 177
"37931" 37540 6387.7 192 37539 6387.7 191
"37931" 37541 6387.7 193 37540 6387.7 192
"37931" 37558 7094.1 210 37557 7094.1 209
"37931" 37567 7437.4 219 37566 7437.4 218
"37931" 37583 8446.9 235 37582 8446.9 234
"37931" 37606 9263.3 258 37605 9263.3 257
"37931" 37619 9731.1 271 37618 9731.1 270
"37931" 37631 10459.7 283 37630 10459.7 282
"37931" 37636 10740.8 288 37635 10740.8 287
"37969" 41462 570.0 15 41461 570.0 14
"37969" 41512 1716.7 65 41511 1716.7 64
"37969" 41519 2111.7 72 41518 2111.7 71
"37969" 41536 3128.6 89 41535 3128.6 88
"37928" 5867 1275.9 21 5866 1275.9 20
"37928" 5872 1497.6 26 5871 1497.6 25
"37928" 5885 2374.3 39 5884 2374.3 38
"37928" 5898 2842.1 52 5897 2842.1 51
"37928" 5921 3658.6 75 5920 3658.6 74
"37928" 5936 4614.8 90 5935 4614.8 89
"37928" 5946 5011.4 100 5945 5011.4 99
"37928" 5963 5717.7 117 5962 5717.7 116
"37928" 5964 5717.7 118 5963 5717.7 117
"37928" 5978 6465.4 132 5977 6465.4 131
"37928" 6014 7248.5 168 6013 7248.5 167
"37928" 6023 7579.3 177 6022 7579.3 176
"37928" 6040 8337.7 194 6039 8337.7 193
"37928" 6051 8827.0 205 6050 8827.0 204
"37928" 6070 9546.6 224 6069 9546.6 223
"37928" 6085 10061.9 239 6084 10061.9 238
"37928" 6094 10379.3 248 6093 10379.3 247
"37928" 6118 10897.5 272 6117 10897.5 271
"37928" 6149 11749.1 303 6148 11749.1 302
"37965" 9609 747.6 15 9608 747.6 14
"37965" 9617 922.0 23 9616 922.0 22
"37965" 9629 1454.0 35 9628 1454.0 34
"37965" 9638 1797.4 44 9637 1797.4 43
"37965" 9652 2855.0 58 9651 2855.0 57
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 3289

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 3289 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" 271
"stops.txt" "stop_name" "sodo" 272
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.
17 "5232" "48166" 12 "14684" "Lieplaukalė" [55.9354974471734,21.831098374058865] 152.04079667279404
29 "26974" "7317012" 234 "14216" "Glaudžiai" [55.90637400000001,21.877556999999996] 1731.1842381583824
29 "26974" "7317012" 235 "10163" "Glaudžiai I" [55.90637400000001,21.877556999999996] 935.5388323636666
29 "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