GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-06-30T09:15:46Z,
for the dataset file:///shared/sverige-sw_27eb429c.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Samtrafiken i Sverige AB
Publisher URL:
http://www.samtrafiken.se
Feed Email:
N/A
Feed Language:
Swedish

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts


  • Agencies: 67
  • Blocks: 0
  • Routes: 8584
  • Shapes: 0
  • Stops: 48485
  • Trips: 490569

Specification Compliance report

25596 notices reported (0 errors, 23211 warnings, 2385 infos)

Notice Code Severity Total
duplicate_route_name WARNING 3708

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

Only the first 50 of 3708 affected records are displayed below.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "1074000100001" 3 "1074000200001" "" "SJ Nattåg" -1 "74"
4 "1074001000001" 5 "1074001100001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 6 "1074001200001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 7 "1074001300001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 8 "1074001400001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 9 "1074001500001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 10 "1074001600001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 11 "1074001700001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 12 "1074001800001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 13 "1074001900001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 14 "1074002000001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 15 "1074002100001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 16 "1074002200001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 17 "1074002300001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 18 "1074002500001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 19 "1074002600001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 20 "1074002700001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 21 "1074003100001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 22 "1074003200001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 23 "1074003600001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 24 "1074003900001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 25 "1074004100001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 26 "1074004200001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 27 "1074004300001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 28 "1074004500001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 29 "1074004600001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 30 "1074004700001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 31 "1074004800001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 32 "1074004900001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 33 "1074005100001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 34 "1074005400001" "" "SJ InterCity" -1 "74"
2 "1074000100001" 35 "1074006700001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 36 "1074006800001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 37 "1074007000001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 38 "1074007100001" "" "SJ Nattåg" -1 "74"
4 "1074001000001" 39 "1074008000001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 40 "1074008500001" "" "SJ InterCity" -1 "74"
2 "1074000100001" 42 "1074009100001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 43 "1074009200001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 44 "1074009300001" "" "SJ Nattåg" -1 "74"
2 "1074000100001" 45 "1074009400001" "" "SJ Nattåg" -1 "74"
4 "1074001000001" 46 "1074009500001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 48 "1074009600001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 50 "1074009800001" "" "SJ InterCity" -1 "74"
4 "1074001000001" 51 "1074009900001" "" "SJ InterCity" -1 "74"
52 "1074010000001" 53 "1074010100001" "" "SJ Regionaltåg" -1 "74"
52 "1074010000001" 54 "1074010200001" "" "SJ Regionaltåg" -1 "74"
52 "1074010000001" 55 "1074010300001" "" "SJ Regionaltåg" -1 "74"
52 "1074010000001" 56 "1074010600001" "" "SJ Regionaltåg" -1 "74"
52 "1074010000001" 57 "1074010800001" "" "SJ Regionaltåg" -1 "74"
expired_calendar WARNING 4365

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.

Only the first 50 of 4365 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "000001"
3 "000003"
4 "000004"
5 "000006"
6 "000008"
7 "000009"
8 "000011"
9 "000013"
10 "000014"
13 "000018"
14 "000020"
15 "000021"
16 "000022"
17 "000023"
18 "000024"
19 "000026"
20 "000028"
21 "000030"
22 "000031"
23 "000032"
24 "000033"
25 "000034"
26 "000035"
27 "000037"
28 "000039"
29 "000040"
30 "000042"
31 "000044"
32 "000046"
33 "000047"
34 "000048"
36 "000052"
37 "000054"
38 "000056"
39 "000057"
42 "000061"
43 "000062"
44 "000064"
45 "000065"
46 "000066"
47 "000067"
48 "000068"
49 "000069"
50 "000070"
51 "000071"
52 "000074"
53 "000075"
54 "000076"
55 "000077"
56 "000078"
fast_travel_between_consecutive_stops WARNING 33

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
117190 "22690126010002" "1269012600001" 222.68091729909818 3.711348621651636 2214564 36 "740028930" "Lerviken" "14:36:00" 2214565 37 "740028931" "Myrbodarna" "14:36:00"
117195 "22690126010007" "1269012600001" 222.68091729909818 3.711348621651636 2214564 36 "740028930" "Lerviken" "14:36:00" 2214565 37 "740028931" "Myrbodarna" "14:36:00"
117185 "22690126000003" "1269012600001" 222.68091729909818 3.711348621651636 2214564 36 "740028930" "Lerviken" "14:36:00" 2214565 37 "740028931" "Myrbodarna" "14:36:00"
236261 "22720573000003" "1272057300001" 248.12844842543316 24.812844842543317 4729616 4 "740026665" "Jiltjaur" "09:00:00" 4729617 5 "740013720" "Övre Saxnäs" "09:05:00"
71536 "22520701000101" "1252070100001" 206.6891469742414 3.4448191162373565 1270739 60 "740020920" "Husbygård Bettna" "05:24:00" 1270740 61 "740038462" "Malmsvägen" "05:24:00"
117198 "22690126010010" "1269012600001" 222.68091729909818 3.711348621651636 2215081 30 "740028931" "Myrbodarna" "16:40:00" 2215082 31 "740028930" "Lerviken" "16:40:00"
117193 "22690126010005" "1269012600001" 222.68091729909818 3.711348621651636 2215081 30 "740028931" "Myrbodarna" "16:40:00" 2215082 31 "740028930" "Lerviken" "16:40:00"
117188 "22690126000004" "1269012600001" 222.68091729909818 3.711348621651636 2215081 30 "740028931" "Myrbodarna" "16:40:00" 2215082 31 "740028930" "Lerviken" "16:40:00"
71538 "22520701000105" "1252070100001" 206.6891469742414 3.4448191162373565 1270901 60 "740020920" "Husbygård Bettna" "06:55:00" 1270902 61 "740038462" "Malmsvägen" "06:55:00"
63190 "22720162000001" "1272016200001" 235.8577816320196 3.9309630272003266 1109205 5 "740013773" "Hednäs E12" "07:18:00" 1109206 6 "740026351" "Granö Tegsnäset E12" "07:18:00"
384159 "22730053000002" "1273005300001" 206.6887600142542 3.444812666904237 7808957 32 "740023756" "Kengis väg 99" "13:40:00" 7808958 33 "740073524" "Mertapalo" "13:40:00"
71540 "22520701000109" "1252070100001" 206.6891469742414 3.4448191162373565 1271063 60 "740020920" "Husbygård Bettna" "09:29:00" 1271064 61 "740038462" "Malmsvägen" "09:29:00"
117192 "22690126010004" "1269012600001" 222.68091729909818 3.711348621651636 2214688 30 "740028931" "Myrbodarna" "15:40:00" 2214689 31 "740028930" "Lerviken" "15:40:00"
117197 "22690126010009" "1269012600001" 222.68091729909818 3.711348621651636 2214688 30 "740028931" "Myrbodarna" "15:40:00" 2214689 31 "740028930" "Lerviken" "15:40:00"
117187 "22690126000002" "1269012600001" 222.68091729909818 3.711348621651636 2214688 30 "740028931" "Myrbodarna" "15:40:00" 2214689 31 "740028930" "Lerviken" "15:40:00"
427450 "22730017000001" "1273001700001" 204.88489147309105 20.488489147309103 8785879 7 "740014668" "Radnejaur väg 95" "07:05:00" 8785880 8 "740023835" "Fälloheden väg 95" "07:10:00"
236262 "22720573000006" "1272057300001" 248.12844842543316 24.812844842543317 4729622 3 "740013720" "Övre Saxnäs" "15:25:00" 4729623 4 "740026665" "Jiltjaur" "15:30:00"
71539 "22520701000107" "1252070100001" 206.6891469742414 3.4448191162373565 1270982 60 "740020920" "Husbygård Bettna" "08:04:00" 1270983 61 "740038462" "Malmsvägen" "08:04:00"
117189 "22690126010001" "1269012600001" 222.68091729909818 3.711348621651636 2214499 36 "740028930" "Lerviken" "07:14:00" 2214500 37 "740028931" "Myrbodarna" "07:14:00"
117194 "22690126010006" "1269012600001" 222.68091729909818 3.711348621651636 2214499 36 "740028930" "Lerviken" "07:14:00" 2214500 37 "740028931" "Myrbodarna" "07:14:00"
117184 "22690126000001" "1269012600001" 222.68091729909818 3.711348621651636 2214499 36 "740028930" "Lerviken" "07:14:00" 2214500 37 "740028931" "Myrbodarna" "07:14:00"
468180 "22730054000025" "1273005400001" 253.07331774954318 4.217888629159053 9656271 14 "740023815" "Övre Vojakkala väg 99" "13:05:00" 9656272 15 "740014973" "Nedre Vojakkala väg 99" "13:05:00"
468181 "22730054000023" "1273005400001" 253.07331774954318 4.217888629159053 9656271 14 "740023815" "Övre Vojakkala väg 99" "13:05:00" 9656272 15 "740014973" "Nedre Vojakkala väg 99" "13:05:00"
88863 "22720714000001" "1272071400001" 223.81485872626723 22.381485872626723 1598579 1 "740033318" "Gravlund" "06:40:00" 1598580 2 "740026281" "Kinnbäck E4" "06:45:00"
322285 "22560632000206" "1256063200001" 495.50726708062825 8.258454451343804 6585993 7 "740078281" "Hälleskalla 220" "14:41:00" 6585994 8 "740014118" "Bäckebo kyrka Alsterbro" "14:41:00"
264557 "22792867000804" "1279286700001" 230.68769972010534 3.8447949953350893 5301081 7 "740075521" "Fridkulla" "15:22:00" 5301082 8 "740058408" "Marbäcks skola" "15:22:00"
71537 "22520701000103" "1252070100001" 206.6891469742414 3.4448191162373565 1270820 60 "740020920" "Husbygård Bettna" "06:24:00" 1270821 61 "740038462" "Malmsvägen" "06:24:00"
24454 "22730424000001" "1273042400001" 221.70800678234437 22.170800678234436 284128 2 "740000875" "Hakkas" "08:32:00" 284129 3 "740023768" "Leipojärvi E10" "08:37:00"
387519 "22690511010001" "1269051100001" 207.34093764473292 3.455682294078882 7877978 12 "740028566" "Sunne" "06:17:00" 7877979 13 "740028567" "Billsta" "06:17:00"
387542 "22690511010024" "1269051100001" 207.34093764473292 3.455682294078882 7877978 12 "740028566" "Sunne" "06:17:00" 7877979 13 "740028567" "Billsta" "06:17:00"
387490 "22690511000001" "1269051100001" 207.34093764473292 3.455682294078882 7877978 12 "740028566" "Sunne" "06:17:00" 7877979 13 "740028567" "Billsta" "06:17:00"
264555 "22792867000805" "1279286700001" 230.68769972010534 3.8447949953350893 5301051 12 "740058408" "Marbäcks skola" "07:23:00" 5301052 13 "740075521" "Fridkulla" "07:23:00"
88864 "22720714000002" "1272071400001" 223.81485872626723 22.381485872626723 1598583 2 "740026281" "Kinnbäck E4" "14:05:00" 1598584 3 "740033318" "Gravlund" "14:10:00"
fast_travel_between_far_stops WARNING 16

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
160637 "22890600000704" "1289060000001" 206.08418076720105 10.304209038360053 3225466 14 "740049985" "Lannavägen" "11:18:00" 3225478 26 "740049975" "Björkemo" "11:20:00"
330025 "22720048000002" "1272004800001" 226.13833803882508 15.075889202588339 6767086 8 "740026101" "Meselefors" "14:40:00" 6767089 11 "740026433" "Abborrviken" "14:43:00"
236261 "22720573000003" "1272057300001" 248.12844842543316 24.812844842543317 4729616 4 "740026665" "Jiltjaur" "09:00:00" 4729617 5 "740013720" "Övre Saxnäs" "09:05:00"
275430 "22890308000015" "1289030800001" 204.3627782494996 10.218138912474979 5520357 28 "740076776" "Vinkelvägen" "23:59:00" 5520368 39 "740011011" "Löa bron" "24:01:00"
275446 "22890308010008" "1289030800001" 204.3627782494996 10.218138912474979 5521325 28 "740076776" "Vinkelvägen" "23:59:00" 5521336 39 "740011011" "Löa bron" "24:01:00"
387528 "22690511010010" "1269051100001" 228.51962520594833 11.425981260297416 7878205 11 "740028562" "Brunne Härnösand" "21:00:00" 7878211 17 "740015118" "Byåker" "21:02:00"
387551 "22690511010033" "1269051100001" 228.51962520594833 11.425981260297416 7878804 11 "740028562" "Brunne Härnösand" "21:00:00" 7878810 17 "740015118" "Byåker" "21:02:00"
387501 "22690511000023" "1269051100001" 228.51962520594833 11.425981260297416 7877505 11 "740028562" "Brunne Härnösand" "21:00:00" 7877511 17 "740015118" "Byåker" "21:02:00"
427450 "22730017000001" "1273001700001" 204.88489147309105 20.488489147309103 8785879 7 "740014668" "Radnejaur väg 95" "07:05:00" 8785880 8 "740023835" "Fälloheden väg 95" "07:10:00"
236262 "22720573000006" "1272057300001" 248.12844842543316 24.812844842543317 4729622 3 "740013720" "Övre Saxnäs" "15:25:00" 4729623 4 "740026665" "Jiltjaur" "15:30:00"
88863 "22720714000001" "1272071400001" 223.81485872626723 22.381485872626723 1598579 1 "740033318" "Gravlund" "06:40:00" 1598580 2 "740026281" "Kinnbäck E4" "06:45:00"
264557 "22792867000804" "1279286700001" 201.47107926973544 10.073553963486772 5301080 6 "740030119" "Parkgatan Fredriksberg" "15:22:00" 5301088 14 "740065377" "Tostarp" "15:24:00"
24454 "22730424000001" "1273042400001" 221.70800678234437 22.170800678234436 284128 2 "740000875" "Hakkas" "08:32:00" 284129 3 "740023768" "Leipojärvi E10" "08:37:00"
88864 "22720714000002" "1272071400001" 223.81485872626723 22.381485872626723 1598583 2 "740026281" "Kinnbäck E4" "14:05:00" 1598584 3 "740033318" "Gravlund" "14:10:00"
275427 "22890308000009" "1289030800001" 204.3627782494996 10.218138912474979 5520177 28 "740076776" "Vinkelvägen" "16:45:00" 5520188 39 "740011011" "Löa bron" "16:47:00"
275443 "22890308010005" "1289030800001" 204.3627782494996 10.218138912474979 5521145 28 "740076776" "Vinkelvägen" "16:45:00" 5521156 39 "740011011" "Löa bron" "16:47:00"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 2

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 17

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.
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7034
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7035
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7036
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7037
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7038
"routes.txt" "route_long_name" "KOMBARDO EXPRESSEN" 7039
"stops.txt" "stop_name" "STRAND NORRASTE" 3836
"stops.txt" "stop_name" "ÖSK-vägen" 8980
"stops.txt" "stop_name" "USÖ M-huset" 11824
"stops.txt" "stop_name" "AWA vägen" 17937
"stops.txt" "stop_name" "TTC östra" 22947
"stops.txt" "stop_name" "SRF-villan" 25208
"stops.txt" "stop_name" "SKF R-porten" 34812
"stops.txt" "stop_name" "ICA centrallager" 35337
"stops.txt" "stop_name" "USÖ akuten" 46323
"stops.txt" "stop_name" "USÖ H-huset" 46324
"stops.txt" "stop_name" "USÖ slussen" 47659
service_has_no_active_day_of_the_week WARNING 6484

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

Only the first 50 of 6484 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "000001"
3 "000003"
4 "000004"
5 "000006"
6 "000008"
7 "000009"
8 "000011"
9 "000013"
10 "000014"
11 "000015"
12 "000017"
13 "000018"
14 "000020"
15 "000021"
16 "000022"
17 "000023"
18 "000024"
19 "000026"
20 "000028"
21 "000030"
22 "000031"
23 "000032"
24 "000033"
25 "000034"
26 "000035"
27 "000037"
28 "000039"
29 "000040"
30 "000042"
31 "000044"
32 "000046"
33 "000047"
34 "000048"
35 "000050"
36 "000052"
37 "000054"
38 "000056"
39 "000057"
40 "000058"
41 "000059"
42 "000061"
43 "000062"
44 "000064"
45 "000065"
46 "000066"
47 "000067"
48 "000068"
49 "000069"
50 "000070"
51 "000071"
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.
"20260630" "20260119" "20260612"
unexpected_enum_value WARNING 8584

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

Only the first 50 of 8584 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 2 "route_type" 102
"routes.txt" 3 "route_type" 102
"routes.txt" 4 "route_type" 102
"routes.txt" 5 "route_type" 102
"routes.txt" 6 "route_type" 102
"routes.txt" 7 "route_type" 102
"routes.txt" 8 "route_type" 102
"routes.txt" 9 "route_type" 102
"routes.txt" 10 "route_type" 102
"routes.txt" 11 "route_type" 102
"routes.txt" 12 "route_type" 102
"routes.txt" 13 "route_type" 102
"routes.txt" 14 "route_type" 102
"routes.txt" 15 "route_type" 102
"routes.txt" 16 "route_type" 102
"routes.txt" 17 "route_type" 102
"routes.txt" 18 "route_type" 102
"routes.txt" 19 "route_type" 102
"routes.txt" 20 "route_type" 102
"routes.txt" 21 "route_type" 102
"routes.txt" 22 "route_type" 102
"routes.txt" 23 "route_type" 102
"routes.txt" 24 "route_type" 102
"routes.txt" 25 "route_type" 102
"routes.txt" 26 "route_type" 102
"routes.txt" 27 "route_type" 102
"routes.txt" 28 "route_type" 102
"routes.txt" 29 "route_type" 102
"routes.txt" 30 "route_type" 102
"routes.txt" 31 "route_type" 102
"routes.txt" 32 "route_type" 102
"routes.txt" 33 "route_type" 102
"routes.txt" 34 "route_type" 102
"routes.txt" 35 "route_type" 102
"routes.txt" 36 "route_type" 102
"routes.txt" 37 "route_type" 102
"routes.txt" 38 "route_type" 102
"routes.txt" 39 "route_type" 102
"routes.txt" 40 "route_type" 102
"routes.txt" 41 "route_type" 101
"routes.txt" 42 "route_type" 102
"routes.txt" 43 "route_type" 102
"routes.txt" 44 "route_type" 102
"routes.txt" 45 "route_type" 102
"routes.txt" 46 "route_type" 102
"routes.txt" 47 "route_type" 702
"routes.txt" 48 "route_type" 102
"routes.txt" 49 "route_type" 702
"routes.txt" 50 "route_type" 102
"routes.txt" 51 "route_type" 102
big_gap_in_service INFO 2384

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

Only the first 50 of 2384 affected records are displayed below.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"000006" "2026-03-06" "2026-04-07" 31
"000006" "2026-04-10" "2026-05-15" 34
"000017" "2026-06-12" "2026-08-17" 65
"000026" "2026-04-06" "2026-05-02" 25
"000026" "2026-05-02" "2026-06-07" 35
"000028" "2026-04-05" "2026-05-01" 25
"000028" "2026-05-01" "2026-06-06" 35
"000037" "2026-03-05" "2026-04-09" 34
"000058" "2026-06-12" "2026-08-17" 65
"000251" "2026-04-04" "2026-05-02" 27
"000251" "2026-05-02" "2026-06-07" 35
"000308" "2026-02-10" "2026-04-07" 55
"000316" "2026-03-06" "2026-04-08" 32
"000316" "2026-04-10" "2026-05-15" 34
"000316" "2026-05-15" "2026-06-15" 30
"000316" "2026-08-14" "2026-10-26" 72
"000318" "2026-06-12" "2026-08-17" 65
"000339" "2026-03-27" "2026-04-17" 20
"000341" "2026-03-27" "2026-04-17" 20
"000341" "2026-06-12" "2026-08-21" 69
"000342" "2026-06-11" "2026-08-17" 66
"000398" "2026-01-31" "2026-02-21" 20
"000416" "2026-02-13" "2026-03-30" 44
"000416" "2026-04-02" "2026-05-15" 42
"000418" "2026-02-13" "2026-04-07" 52
"000418" "2026-04-10" "2026-05-15" 34
"000419" "2026-03-27" "2026-04-17" 20
"000429" "2026-04-02" "2026-05-15" 42
"000431" "2026-04-03" "2026-05-16" 42
"000450" "2026-04-03" "2026-05-01" 27
"000450" "2026-05-01" "2026-06-06" 35
"000468" "2026-02-25" "2026-04-08" 41
"000490" "2026-03-07" "2026-04-11" 34
"000495" "2026-03-07" "2026-04-11" 34
"000499" "2026-03-06" "2026-04-02" 26
"000503" "2026-03-23" "2026-04-13" 20
"000536" "2026-02-20" "2026-04-07" 45
"000536" "2026-04-10" "2026-05-15" 34
"000538" "2026-03-06" "2026-04-10" 34
"000538" "2026-04-10" "2026-05-15" 34
"000538" "2026-05-15" "2026-06-26" 41
"000538" "2026-08-14" "2026-10-30" 76
"000540" "2026-03-06" "2026-04-07" 31
"000540" "2026-04-10" "2026-05-15" 34
"000540" "2026-05-15" "2026-06-15" 30
"000540" "2026-08-14" "2026-10-26" 72
"000545" "2026-03-04" "2026-04-07" 33
"000545" "2026-04-08" "2026-06-15" 67
"000545" "2026-08-12" "2026-10-26" 74
"000547" "2026-03-05" "2026-04-09" 34
unknown_column INFO 1

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.
"feed_info.txt" "feed_id" 1