GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2026-10-31T02:05:21+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/Marijampoles.zip. No country code was provided.

Use this report alongside our documentation.

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: 18
  • Shapes: 126
  • Stops: 297
  • Trips: 373

Specification Compliance report

3456 notices reported (0 errors, 3424 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 3400

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 3400 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`.
"66970" 46917 11.1 5 46916 11.1 4
"66970" 46919 65.4 7 46918 65.4 6
"66970" 46939 1407.5 27 46938 1407.5 26
"66970" 46941 1423.1 29 46940 1423.1 28
"66970" 46963 2297.3 51 46962 2297.3 50
"66970" 46972 2638.9 60 46971 2638.9 59
"66970" 46984 2979.9 72 46983 2979.9 71
"66970" 46995 3366.7 83 46994 3366.7 82
"66970" 47012 4126.9 100 47011 4126.9 99
"66970" 47019 4715.9 107 47018 4715.9 106
"66970" 47037 5054.1 125 47036 5054.1 124
"66970" 47039 5130.3 127 47038 5130.3 126
"66970" 47050 6224.9 138 47049 6224.9 137
"66970" 47069 7397.5 157 47068 7397.5 156
"66970" 47074 7476.7 162 47073 7476.7 161
"66970" 47081 7580.3 169 47080 7580.3 168
"66970" 47108 8297.6 196 47107 8297.6 195
"66970" 47123 8668.8 211 47122 8668.8 210
"66970" 47131 9028.2 219 47130 9028.2 218
"66970" 47174 9677.6 262 47173 9677.6 261
"66970" 47177 9794.5 265 47176 9794.5 264
"66971" 47220 2840.6 27 47219 2840.6 26
"66971" 47222 2898.8 29 47221 2898.8 28
"66971" 47237 3275.4 44 47236 3275.4 43
"66971" 47245 3754.4 52 47244 3754.4 51
"66971" 47252 3978.4 59 47251 3978.4 58
"66971" 47263 4498.6 70 47262 4498.6 69
"66971" 47265 4507.0 72 47264 4507.0 71
"66971" 47281 4916.8 88 47280 4916.8 87
"66971" 47309 5421.3 116 47308 5421.3 115
"66971" 47336 7370.5 143 47335 7370.5 142
"66971" 47372 8773.8 179 47371 8773.8 178
"66971" 47417 10118.3 224 47416 10118.3 223
"66971" 47464 12005.7 271 47463 12005.7 270
"66971" 47468 12107.2 275 47467 12107.2 274
"66971" 47483 12697.7 290 47482 12697.7 289
"66971" 47505 13546.2 312 47504 13546.2 311
"66971" 47514 13894.4 321 47513 13894.4 320
"66971" 47522 14056.8 329 47521 14056.8 328
"66971" 47532 14239.6 339 47531 14239.6 338
"66971" 47534 14315.8 341 47533 14315.8 340
"66971" 47542 14676.6 349 47541 14676.6 348
"66971" 47553 15026.3 360 47552 15026.3 359
"66974" 48610 2381.2 11 48609 2381.2 10
"66974" 48645 5287.9 46 48644 5287.9 45
"66974" 48681 7021.9 82 48680 7021.9 81
"66974" 48704 8470.4 105 48703 8470.4 104
"66974" 48737 9900.2 138 48736 9900.2 137
"66974" 48776 12177.6 177 48775 12177.6 176
"66974" 48794 13370.2 195 48793 13370.2 194
expired_calendar WARNING 21

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
281 "113458"
280 "113457"
11 "113456"
105 "113464"
331 "113462"
56 "113449"
239 "113448"
329 "113447"
159 "113446"
238 "113445"
10 "113444"
202 "113443"
9 "113442"
338 "113487"
204 "113486"
283 "113483"
335 "113469"
333 "113467"
203 "113466"
14 "113472"
13 "113470"
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"
mixed_case_recommended_field WARNING 1

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" "PC \"IKI\"" 264
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20261031" "20220401" "20261030"
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