GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T17:45:46Z,
for the dataset file:///shared/polish-trains_f88148a2.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Mikołaj Kuranowski
Publisher URL:
https://mkuran.pl/gtfs
Feed Email:
N/A
Feed Language:
Polish
Feed Start Date:
2026-05-03
Feed End Date:
2026-06-02

Files included

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

Counts

  • Agencies: 15
  • Blocks: 0
  • Routes: 181
  • Shapes: 2827
  • Stops: 3189
  • Trips: 24349

Specification Compliance report

273 notices reported (39 errors, 224 warnings, 10 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 22

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"PLK_LEO_2026_669499524" "129059" 267528 795.231 21 267527 795.231 20
"PLK_LEO_2026_418881043" "129059" 267305 844.92 22 267304 844.92 21
"PLK_LEO_2026_998903736" "129059" 267896 844.92 22 267895 844.92 21
"PLK_LEO_2026_910656741" "129059" 267810 844.92 22 267809 844.92 21
"PLK_LEO_2026_274468320" "129059" 267043 844.92 22 267042 844.92 21
"PLK_LEO_2026_181372781" "129059" 266860 844.92 22 266859 844.92 21
"PLK_LEO_2026_413205926" "129059" 267259 795.231 21 267258 795.231 20
"PLK_LEO_2026_631242241" "129059" 267506 844.92 22 267505 844.92 21
"PLK_LEO_2026_562333835" "129059" 267437 844.92 22 267436 844.92 21
"PLK_LEO_2026_757037919" "129059" 267660 844.92 22 267659 844.92 21
"PLK_LEO_2026_183386110" "129059" 266883 844.92 22 266882 844.92 21
"PLK_LEO_2026_206213046" "129059" 266929 844.92 22 266928 844.92 21
"PLK_LEO_2026_889053435" "129059" 267768 844.92 22 267767 844.92 21
"PLK_LEO_2026_205811017" "129059" 266906 844.92 22 266905 844.92 21
"PLK_LEO_2026_268293753" "129059" 267020 795.231 21 267019 795.231 20
"PLK_LEO_2026_883499428" "129059" 267745 795.231 21 267744 795.231 20
"PLK_LEO_2026_293200629" "129059" 267088 795.231 21 267087 795.231 20
"PLK_LEO_2026_952168061" "129059" 267856 844.92 22 267855 844.92 21
"PLK_LEO_2026_250678905" "129059" 266975 844.92 22 266974 844.92 21
"PLK_LEO_2026_626036572" "129059" 267483 844.92 22 267482 844.92 21
"PLK_LEO_2026_135328640" "129059" 266768 795.231 21 266767 795.231 20
"PLK_LEO_2026_343418780" "129059" 267134 844.92 22 267133 844.92 21
start_and_end_range_out_of_order ERROR 4

start_and_end_range_out_of_order

Two date or time fields are out of order.

Date or time fields have been found out of order in calendar.txt, feed_info.txt and stop_times.txt.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. startFieldName (?) The start value's field name. startValue (?) The start value. endFieldName (?) The end value's field name. endValue (?) The end value.
"stop_times.txt" 267212 "arrival_time" "12:37:00" "departure_time" "12:27:00"
"stop_times.txt" 267354 "arrival_time" "07:40:00" "departure_time" "07:35:00"
"stop_times.txt" 267686 "arrival_time" "07:40:00" "departure_time" "07:35:00"
"stop_times.txt" 267871 "arrival_time" "12:37:00" "departure_time" "12:27:00"
transfer_with_invalid_trip_and_stop ERROR 13

transfer_with_invalid_trip_and_stop

A trip id field from GTFS file transfers.txt references a stop that is not included in the referenced trip's stop-times.

You can see more about this notice here.

csvRowNumber (?) The row number from `transfers.txt` for the faulty entry. tripFieldName (?) The name of the trip id field (e.g. `from_trip_id`) referencing a trip. tripId (?) The referenced trip id. stopFieldName (?) The name of the stop id field (e.g. `stop_route_id`) referencing the stop. stopId (?) The referenced stop id.
501 "to_trip_id" "PLK_KM_2026_910302094_LEG1" "to_stop_id" "38737_RAIL"
502 "to_trip_id" "PLK_KM_2026_482207564_LEG1" "to_stop_id" "38737_RAIL"
503 "to_trip_id" "PLK_KM_2026_494537628_LEG1" "to_stop_id" "38737_RAIL"
504 "to_trip_id" "PLK_KM_2026_773104528_LEG1" "to_stop_id" "38737_RAIL"
505 "to_trip_id" "PLK_KM_2026_775781198_LEG1" "to_stop_id" "38737_RAIL"
506 "to_trip_id" "PLK_KM_2026_333174633_LEG1" "to_stop_id" "38737_RAIL"
507 "to_trip_id" "PLK_KM_2026_454723174_LEG1" "to_stop_id" "38737_RAIL"
508 "to_trip_id" "PLK_KM_2026_710721951_LEG1" "to_stop_id" "38737_RAIL"
509 "to_trip_id" "PLK_KM_2026_864646959_LEG1" "to_stop_id" "38737_RAIL"
510 "from_trip_id" "PLK_KM_2026_333174633_LEG1" "from_stop_id" "38885_RAIL"
511 "from_trip_id" "PLK_KM_2026_454723174_LEG1" "from_stop_id" "38885_RAIL"
512 "from_trip_id" "PLK_KM_2026_710721951_LEG1" "from_stop_id" "38885_RAIL"
513 "from_trip_id" "PLK_KM_2026_864646959_LEG1" "from_stop_id" "38885_RAIL"
fast_travel_between_consecutive_stops WARNING 1

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.
11664 "PLK_KS_2026_383463025_LEG1" "KS_S5_BUS" 209.49380458217865 1.7457817048514888 217120 26 "178279" "Cięcina Dolna" "23:44:30" 217121 27 "76752" "Cięcina" "23:45:00"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260504" "20260602" "20260603"
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
mixed_case_recommended_field WARNING 152

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.

Only the first 50 of 152 affected records are displayed below.

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_short_name" "ZKA IC" 7
"routes.txt" "route_short_name" "ZKA TLK" 10
"routes.txt" "route_short_name" "ZKA SKA2" 56
"routes.txt" "route_short_name" "ZKA KŚ" 101
"routes.txt" "route_short_name" "ZKA KW" 132
"routes.txt" "route_short_name" "ZKA PKM1" 135
"routes.txt" "route_short_name" "ZKA PKM3" 138
"routes.txt" "route_short_name" "ZKA PKM4" 140
"routes.txt" "route_short_name" "ZKA PKM5" 142
"routes.txt" "route_short_name" "ZKA ŁKA" 145
"routes.txt" "route_short_name" "ZKA REG" 170
"routes.txt" "route_short_name" "ZKA REG P" 172
"trips.txt" "trip_short_name" "12815 ESKO S7" 10663
"trips.txt" "trip_short_name" "12815 ESKO S7" 10664
"trips.txt" "trip_short_name" "12819 ESKO S7" 10667
"trips.txt" "trip_short_name" "12819 ESKO S7" 10668
"trips.txt" "trip_short_name" "12812 ESKO S7" 10671
"trips.txt" "trip_short_name" "12812 ESKO S7" 10672
"trips.txt" "trip_short_name" "12826 ESKO S7" 10745
"trips.txt" "trip_short_name" "12826 ESKO S7" 10746
"trips.txt" "trip_short_name" "12845 ESKO S7" 10757
"trips.txt" "trip_short_name" "12845 ESKO S7" 10758
"trips.txt" "trip_short_name" "4409 ZSSK" 10772
"trips.txt" "trip_short_name" "4421 ZSSK" 10776
"trips.txt" "trip_short_name" "12804 ESKO S7" 10842
"trips.txt" "trip_short_name" "12804 ESKO S7" 10843
"trips.txt" "trip_short_name" "4421 ZSSK" 10862
"trips.txt" "trip_short_name" "4402 ZSSK" 10905
"trips.txt" "trip_short_name" "4434 ZSSK" 10923
"trips.txt" "trip_short_name" "12803 ESKO S7" 10938
"trips.txt" "trip_short_name" "12831 ESKO S7" 10956
"trips.txt" "trip_short_name" "12831 ESKO S7" 10957
"trips.txt" "trip_short_name" "12842 ESKO S7" 10966
"trips.txt" "trip_short_name" "12842 ESKO S7" 10967
"trips.txt" "trip_short_name" "4430 ZSSK" 11006
"trips.txt" "trip_short_name" "12839 ESKO S7" 11009
"trips.txt" "trip_short_name" "12839 ESKO S7" 11010
"trips.txt" "trip_short_name" "4418 ZSSK" 11039
"trips.txt" "trip_short_name" "12846 ESKO S7" 11057
"trips.txt" "trip_short_name" "12846 ESKO S7" 11058
"trips.txt" "trip_short_name" "4418 ZSSK" 11114
"trips.txt" "trip_short_name" "12812 ESKO S7" 11116
"trips.txt" "trip_short_name" "4426 ZSSK" 11148
"trips.txt" "trip_short_name" "4429 ZSSK" 11159
"trips.txt" "trip_short_name" "4405 ZSSK" 11163
"trips.txt" "trip_short_name" "12831 ESKO S7" 11214
"trips.txt" "trip_short_name" "12831 ESKO S7" 11215
"trips.txt" "trip_short_name" "12809 ESKO S7" 11272
"trips.txt" "trip_short_name" "12823 ESKO S7" 11294
"trips.txt" "trip_short_name" "12823 ESKO S7" 11295
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"LEO" 143 "LEO" "Leo Express"
stop_too_far_from_shape WARNING 1

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.
1276 "RAIL_31" "PLK_IC_2026_193861698" 18687 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
stop_too_far_from_shape_using_user_distance WARNING 67

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

Only the first 50 of 67 affected records are displayed below.

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.
15932 "RAIL_2602" "PLK_PR_2026_114512019" 294336 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
17843 "RAIL_2609" "PLK_PR_2026_323550373" 332303 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
16313 "RAIL_2610" "PLK_PR_2026_157592339" 302140 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
22421 "RAIL_481" "PLK_PR_2026_986252805" 420995 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
14361 "RAIL_1713" "PLK_KW_2026_845793183_LEG0" 262885 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13121 "RAIL_1700" "PLK_KW_2026_118160315" 242599 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13207 "RAIL_1701" "PLK_KW_2026_160841332_LEG0" 243843 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13459 "RAIL_1703" "PLK_KW_2026_289699920_LEG0" 248062 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13507 "RAIL_1704" "PLK_KW_2026_315214443_LEG2" 248905 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13568 "RAIL_1705" "PLK_KW_2026_346621711_LEG2" 249849 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13164 "RAIL_1694" "PLK_KW_2026_144374501" 243208 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13185 "RAIL_1696" "PLK_KW_2026_153103529" 243566 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
17737 "RAIL_2547" "PLK_PR_2026_312137233" 330314 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13683 "RAIL_1676" "PLK_KW_2026_400117349" 251659 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13281 "RAIL_1681" "PLK_KW_2026_190202397" 244912 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13130 "RAIL_1682" "PLK_KW_2026_123411547" 242703 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13272 "RAIL_1683" "PLK_KW_2026_185792653" 244733 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13414 "RAIL_1686" "PLK_KW_2026_259374002" 247253 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13246 "RAIL_1687" "PLK_KW_2026_175457958" 244376 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
19235 "RAIL_2533" "PLK_PR_2026_483760657" 358588 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13153 "RAIL_1688" "PLK_KW_2026_134592626" 243035 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13327 "RAIL_1689" "PLK_KW_2026_213761261" 245663 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
14378 "RAIL_1662" "PLK_KW_2026_858525475" 263231 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13247 "RAIL_1668" "PLK_KW_2026_175930569" 244377 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
21501 "RAIL_501" "PLK_PR_2026_849027566" 402953 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
19419 "RAIL_514" "PLK_PR_2026_516109519" 362223 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
2928 "RAIL_374" "PLK_IC_2026_525010009_LEG0" 50054 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
16557 "RAIL_2673" "PLK_PR_2026_182563694" 307216 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
15969 "RAIL_2676" "PLK_PR_2026_117787698" 295336 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
18046 "RAIL_480" "PLK_PR_2026_345963937" 336274 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13471 "RAIL_1779" "PLK_KW_2026_296008859" 248250 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
16054 "RAIL_2265" "PLK_PR_2026_127560058" 296885 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13355 "RAIL_1512" "PLK_KW_2026_224510910" 246249 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13136 "RAIL_1515" "PLK_KW_2026_123713197" 242798 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
14323 "RAIL_1527" "PLK_KW_2026_829168367_LEG0" 262226 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
1088 "RAIL_349" "PLK_IC_2026_162019541_LEG0" 15128 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
20361 "RAIL_2784" "PLK_PR_2026_664455952_LEG2" 380742 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
16315 "RAIL_2773" "PLK_PR_2026_157828251_LEG0" 302217 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13496 "RAIL_1496" "PLK_KW_2026_307756820" 248720 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13649 "RAIL_1635" "PLK_KW_2026_382282871" 251102 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13724 "RAIL_1643" "PLK_KW_2026_416306443" 252409 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13180 "RAIL_1644" "PLK_KW_2026_151685246" 243486 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13389 "RAIL_1647" "PLK_KW_2026_242048424" 246808 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
13261 "RAIL_1623" "PLK_KW_2026_181469876" 244589 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
14045 "RAIL_1601" "PLK_KW_2026_643571683" 258016 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13137 "RAIL_1603" "PLK_KW_2026_123895412" 242828 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
13165 "RAIL_1596" "PLK_KW_2026_145552756" 243220 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
14282 "RAIL_1599" "PLK_KW_2026_798086950" 261497 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
19686 "RAIL_2449" "PLK_PR_2026_561772690" 367684 "30601" "Poznań Główny" [52.404068,16.912958] 287.7863967950797
14575 "RAIL_1570" "PLK_KW_2026_986059639" 266393 "30601" "Poznań Główny" [52.404213000000006,16.911863] 288.53775647974413
unknown_column INFO 10

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.
"attributions.txt" "is_data_source" 7
"stops.txt" "country" 8
"stops.txt" "plk_secondary_id" 9
"stop_times.txt" "platform" 7
"stop_times.txt" "track" 8
"stop_times.txt" "plk_category_code" 9
"stop_times.txt" "plk_sequence" 10
"trips.txt" "plk_category_code" 8
"trips.txt" "plk_train_number" 9
"trips.txt" "plk_train_name" 10