GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 6.0.0 at 2025-11-14T04:55:15+02:00,
for the dataset https://www.visimarsrutai.lt/gtfs/VisaginoM.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. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 6
  • Shapes: 11
  • Stops: 32
  • Trips: 35

Specification Compliance report

796 notices reported (0 errors, 764 warnings, 32 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 50

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.

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`.
"37510" 3971 750.1 17 3970 750.1 16
"37510" 3984 1282.9 30 3983 1282.9 29
"37510" 3992 1671.1 38 3991 1671.1 37
"37510" 4002 2009.4 48 4001 2009.4 47
"37510" 4018 2435.8 64 4017 2435.8 63
"37510" 4035 3054.5 81 4034 3054.5 80
"37510" 4050 3546.8 96 4049 3546.8 95
"37510" 4063 4106.5 109 4062 4106.5 108
"37510" 4074 4652.5 120 4073 4652.5 119
"37510" 4097 5201.7 143 4096 5201.7 142
"37510" 4111 5704.1 157 4110 5704.1 156
"37510" 4125 6148.6 171 4124 6148.6 170
"37511" 4171 750.1 17 4170 750.1 16
"37511" 4184 1282.9 30 4183 1282.9 29
"37511" 4192 1671.1 38 4191 1671.1 37
"37511" 4202 2009.4 48 4201 2009.4 47
"37511" 4218 2435.8 64 4217 2435.8 63
"37511" 4235 3054.5 81 4234 3054.5 80
"37511" 4250 3546.8 96 4249 3546.8 95
"37511" 4263 4106.5 109 4262 4106.5 108
"37511" 4274 4652.5 120 4273 4652.5 119
"37511" 4297 5201.7 143 4296 5201.7 142
"37511" 4311 5704.1 157 4310 5704.1 156
"37511" 4325 6148.6 171 4324 6148.6 170
"37512" 4413 1348.1 42 4412 1348.1 41
"37512" 4429 2098.2 58 4428 2098.2 57
"37512" 4442 2631.0 71 4441 2631.0 70
"37512" 4450 3019.1 79 4449 3019.1 78
"37512" 4460 3357.5 89 4459 3357.5 88
"37512" 4476 3783.9 105 4475 3783.9 104
"37512" 4493 4402.6 122 4492 4402.6 121
"37512" 4508 4894.9 137 4507 4894.9 136
"37512" 4521 5454.6 150 4520 5454.6 149
"37512" 4532 6000.6 161 4531 6000.6 160
"37512" 4555 6549.7 184 4554 6549.7 183
"37512" 4569 7052.2 198 4568 7052.2 197
"37512" 4583 7496.6 212 4582 7496.6 211
"37513" 4654 1348.1 42 4653 1348.1 41
"37513" 4670 2098.2 58 4669 2098.2 57
"37513" 4683 2631.0 71 4682 2631.0 70
"37513" 4691 3019.1 79 4690 3019.1 78
"37513" 4701 3357.5 89 4700 3357.5 88
"37513" 4717 3783.9 105 4716 3783.9 104
"37513" 4734 4402.6 122 4733 4402.6 121
"37513" 4749 4894.9 137 4748 4894.9 136
"37513" 4762 5454.6 150 4761 5454.6 149
"37513" 4773 6000.6 161 4772 6000.6 160
"37513" 4796 6549.7 184 4795 6549.7 183
"37513" 4810 7052.2 198 4809 7052.2 197
"37513" 4824 7496.6 212 4823 7496.6 211
expired_calendar WARNING 5

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.
4 "2218"
5 "2217"
7 "31530"
6 "2216"
8 "2224"
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 707

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 707 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 "3419012" 1
3 "3419012" 2
4 "3419012" 3
5 "3419012" 4
6 "3419012" 5
7 "3419012" 6
8 "3419012" 7
9 "3419012" 8
10 "3419012" 9
11 "3419012" 10
12 "3419012" 11
13 "3419012" 12
14 "3419012" 13
15 "3419012" 14
16 "3419012" 15
17 "3419012" 16
18 "3419012" 17
19 "3419012" 18
20 "3419012" 19
21 "3419012" 20
22 "3419012" 21
23 "3419012" 22
24 "3419012" 23
25 "3419012" 24
26 "3419012" 25
27 "3419012" 26
28 "3419012" 27
29 "3419012" 28
30 "3419012" 29
31 "3419012" 30
32 "3419013" 1
33 "3419013" 2
34 "3419013" 3
35 "3419013" 4
36 "3419013" 5
37 "3419013" 6
38 "3419013" 7
39 "3419013" 8
40 "3419013" 9
41 "3419013" 10
42 "3419013" 11
43 "3419013" 12
44 "3419013" 13
45 "3419013" 14
46 "3419013" 15
47 "3419013" 16
48 "3419013" 17
49 "3419013" 18
50 "3419013" 19
51 "3419013" 20
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.
"20251114" "20250415" "20251031"
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