GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T16:48:05Z,
for the dataset file:///shared/crtm-madrid-esp.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Consorcio Regional de Transportes de Madrid

Feed Info

Publisher Name:
Consorcio Regional de Transportes de Madrid
Publisher URL:
https://www.crtm.es
Feed Email:
N/A
Feed Language:
Spanish
Feed Start Date:
N/A
Feed End Date:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 10
  • Shapes: 12
  • Stops: 86
  • Trips: 2199

Specification Compliance report

3544 notices reported (2515 errors, 1029 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 1

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

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 different coordinates indicate an error.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"5__5____1__IT_1" 5702 806.390838517592 14000001 5701 806.390838517592 13000028 1.5078736198561067
foreign_key_violation ERROR 2514

foreign_key_violation

Wrong foreign key.

A foreign key references the primary key of another file. A foreign key violation means that the foreign key referenced from a given row (the child file) cannot be found in the corresponding file (the parent file). The Foreign keys are defined in the specification under "Type" for each file.

You can see more about this notice here.

Only the first 50 of 2514 affected records are displayed below.

childFilename (?) The name of the file from which reference is made. childFieldName (?) The name of the field that makes reference. parentFilename (?) The name of the file that is referred to. parentFieldName (?) The name of the field that is referred to. fieldValue (?) The faulty record's value. csvRowNumber (?) The row of the faulty record.
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 2
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 3
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 4
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 5
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 35
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 36
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 37
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 38
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 54
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 55
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 56
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 57
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 85
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 86
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 87
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 88
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 89
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 90
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 91
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 92
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 122
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 123
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 124
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 125
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 126
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 127
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 128
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 159
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 160
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 161
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 162
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 163
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 164
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 165
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 166
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 197
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 198
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 199
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 200
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 201
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 202
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 203
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 204
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_38" 224
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 225
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 226
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 227
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_3" 258
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_45" 259
"stop_times.txt" "stop_id" "stops.txt" "stop_id" "par_5_12" 260
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 4

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

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 small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"5__5____2__IT_1" 6434 515.49872724709 17000001 6433 515.49872724709 16000008 0.006294317364777268
"5__10____2__IT_1" 879 53.212885281602 3000001 878 53.212885281602 2000025 0.3379116185436665
"5__10____1__IT_1" 804 1519.24108727539 19000001 803 1519.24108727539 18000058 0.2581209625085499
"5__8____2__IT_1" 8072 321.488901243224 2000001 8071 321.488901243224 1000125 0.13393763430766387
equal_shape_distance_same_coordinates WARNING 221

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 221 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`.
"5__4_B___2__IT_1" 4649 835.811639250439 2000001 4648 835.811639250439 1000158
"5__4_B___2__IT_1" 4703 973.112092251304 3000001 4702 973.112092251304 2000054
"5__4_B___2__IT_1" 4739 1024.6174214261 4000001 4738 1024.6174214261 3000036
"5__4_B___2__IT_1" 4822 1216.30382716166 5000001 4821 1216.30382716166 4000083
"5__4_B___2__IT_1" 4875 1306.35228860352 6000001 4874 1306.35228860352 5000053
"5__4_B___2__IT_1" 4915 1372.89043605623 7000001 4914 1372.89043605623 6000040
"5__4_B___2__IT_1" 4946 1416.3448044824 8000001 4945 1416.3448044824 7000031
"5__4_B___2__IT_1" 4974 1441.90756603217 9000001 4973 1441.90756603217 8000028
"5__4_B___2__IT_1" 5093 1836.53390764599 10000001 5092 1836.53390764599 9000119
"5__4_B___2__IT_1" 5137 1890.97034398525 11000001 5136 1890.97034398525 10000044
"5__4_B___2__IT_1" 5162 1919.05703988 12000001 5161 1919.05703988 11000025
"5__4_B___2__IT_1" 5170 1923.99833300994 13000001 5169 1923.99833300994 12000008
"5__4_B___2__IT_1" 5190 1940.88513042501 14000001 5189 1940.88513042501 13000020
"5__2____2__IT_1" 2157 39.152347305921 2000001 2156 39.152347305921 1000035
"5__2____2__IT_1" 2178 66.670417730631 3000001 2177 66.670417730631 2000021
"5__2____2__IT_1" 2209 104.350783210386 4000001 2208 104.350783210386 3000031
"5__2____2__IT_1" 2274 188.707092508959 5000001 2273 188.707092508959 4000065
"5__2____2__IT_1" 2293 201.251392301607 6000001 2292 201.251392301607 5000019
"5__2____2__IT_1" 2312 223.050515207926 7000001 2311 223.050515207926 6000019
"5__2____2__IT_1" 2324 234.8981696908 8000001 2323 234.8981696908 7000012
"5__2____2__IT_1" 2351 262.638367114757 9000001 2350 262.638367114757 8000027
"5__2____2__IT_1" 2367 303.346406691915 10000001 2366 303.346406691915 9000016
"5__2____2__IT_1" 2392 343.564792604607 11000001 2391 343.564792604607 10000025
"5__2____2__IT_1" 2412 387.146883245498 12000001 2411 387.146883245498 11000020
"5__2____2__IT_1" 2430 415.218852568673 13000001 2429 415.218852568673 12000018
"5__2____2__IT_1" 2446 452.651058281432 14000001 2445 452.651058281432 13000016
"5__2____2__IT_1" 2459 469.269377131831 15000001 2458 469.269377131831 14000013
"5__2____2__IT_1" 2483 507.648626078312 16000001 2482 507.648626078312 15000024
"5__2____2__IT_1" 2510 563.847062941966 17000001 2509 563.847062941966 16000027
"5__2____2__IT_1" 2523 591.218224639545 18000001 2522 591.218224639545 17000013
"5__5____2__IT_1" 6019 101.532215170279 2000001 6018 101.532215170279 1000041
"5__5____2__IT_1" 6040 121.716115210017 3000001 6039 121.716115210017 2000021
"5__5____2__IT_1" 6066 150.530325476405 4000001 6065 150.530325476405 3000026
"5__5____2__IT_1" 6122 200.482157310407 5000001 6121 200.482157310407 4000056
"5__5____2__IT_1" 6156 236.782183679144 6000001 6155 236.782183679144 5000034
"5__5____2__IT_1" 6181 264.621164414671 7000001 6180 264.621164414671 6000025
"5__5____2__IT_1" 6214 297.362956104244 8000001 6213 297.362956104244 7000033
"5__5____2__IT_1" 6242 322.102697504526 9000001 6241 322.102697504526 8000028
"5__5____2__IT_1" 6270 343.369171480916 10000001 6269 343.369171480916 9000028
"5__5____2__IT_1" 6300 379.398518509622 11000001 6299 379.398518509622 10000030
"5__5____2__IT_1" 6325 395.491113585422 12000001 6324 395.491113585422 11000025
"5__5____2__IT_1" 6355 415.081537636094 13000001 6354 415.081537636094 12000030
"5__5____2__IT_1" 6388 463.819727245373 14000001 6387 463.819727245373 13000033
"5__5____2__IT_1" 6421 510.344504418512 15000001 6420 510.344504418512 14000033
"5__5____2__IT_1" 6426 512.125969822575 16000001 6425 512.125969822575 15000005
"5__5____2__IT_1" 6449 523.038436986701 18000001 6448 523.038436986701 17000015
"5__5____2__IT_1" 6482 588.905739257782 19000001 6481 588.905739257782 18000033
"5__5____2__IT_1" 6505 608.939507656074 20000001 6504 608.939507656074 19000023
"5__5____2__IT_1" 6509 612.113920790577 21000001 6508 612.113920790577 20000004
"5__5____2__IT_1" 6536 645.998930246742 22000001 6535 645.998930246742 21000027
expired_calendar WARNING 3

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.
2 "5_I13"
3 "5_I12"
4 "5_I11"
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 757

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 757 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.
"stops.txt" "stop_name" "CASAR EL" 2
"stops.txt" "stop_name" "GETAFE INDUSTRIAL" 7
"stops.txt" "stop_name" "NUEVOS MINISTERIOS" 8
"stops.txt" "stop_name" "SAN CRISTÓBAL DE LOS ANGELES" 10
"stops.txt" "stop_name" "SAN CRISTÓBAL INDUSTRIAL" 11
"stops.txt" "stop_name" "VILLAVERDE BAJO" 14
"stops.txt" "stop_name" "CANTOBLANCO UNIVERSIDAD" 19
"stops.txt" "stop_name" "GETAFE CENTRO" 21
"stops.txt" "stop_name" "GETAFE SECTOR 3" 22
"stops.txt" "stop_name" "ALCOBENDAS-S.S. DE LOS REYES" 23
"stops.txt" "stop_name" "MARGARITAS-UNIVERSIDAD LAS" 24
"stops.txt" "stop_name" "UNIVERSIDAD P. COMILLAS" 26
"stops.txt" "stop_name" "VILLAVERDE ALTO" 28
"stops.txt" "stop_name" "ÁGUILAS LAS" 29
"stops.txt" "stop_name" "PARQUE POLVORANCA" 31
"stops.txt" "stop_name" "CUATRO VIENTOS" 32
"stops.txt" "stop_name" "DOCE DE OCTUBRE" 33
"stops.txt" "stop_name" "MÉNDEZ ÁLVARO" 39
"stops.txt" "stop_name" "MÓSTOLES EL SOTO" 41
"stops.txt" "stop_name" "PUENTE ALCOCER" 44
"stops.txt" "stop_name" "RETAMAS LAS" 45
"stops.txt" "stop_name" "SAN JOSÉ DE VALDERAS" 47
"stops.txt" "stop_name" "SERNA LA" 48
"stops.txt" "stop_name" "ASAMBLEA DE MADRID-ENTREVÍAS" 52
"stops.txt" "stop_name" "GARENA LA" 53
"stops.txt" "stop_name" "BARRIAL-C.COM.POZUELO EL" 54
"stops.txt" "stop_name" "SOTO DEL HENARES" 55
"stops.txt" "stop_name" "MIRASIERRA-PACO DE LUCÍA" 56
"stops.txt" "stop_name" "ALCALÁ DE HENARES" 57
"stops.txt" "stop_name" "POZO EL" 61
"stops.txt" "stop_name" "PRÍNCIPE PÍO" 63
"stops.txt" "stop_name" "RAMÓN Y CAJAL" 64
"stops.txt" "stop_name" "ROZAS LAS" 66
"stops.txt" "stop_name" "SAN FERNANDO" 67
"stops.txt" "stop_name" "SANTA EUGENIA" 68
"stops.txt" "stop_name" "TORREJÓN DE ARDOZ" 69
"stops.txt" "stop_name" "PUERTO NAVACERRADA" 76
"stops.txt" "stop_name" "FUENTE DE LA MORA" 77
"stops.txt" "stop_name" "GALAPAGAR-LA NAVATA" 81
"stops.txt" "stop_name" "MATAS LAS" 82
"stops.txt" "stop_name" "PINAR DE LAS ROZAS" 83
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 14
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 21
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 27
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 37
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 43
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 50
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 56
"trips.txt" "trip_headsign" "ALCALÁ DE HENARES" 72
"trips.txt" "trip_headsign" "GARENA LA" 77
route_color_contrast WARNING 1

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"5__C5___" 7 "#F9BA13" "#FFFFFF"
stop_too_far_from_shape WARNING 29

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.
699 "5__4_B___2__IT_1" "5_I11-5_I11_05:40:00_2_3_5__C4_B__" 10772 "par_5_21" "" [40.2410516730986,-3.7693471257912896] 4490868.288730003
699 "5__4_B___2__IT_1" "5_I11-5_I11_05:40:00_2_3_5__C4_B__" 10773 "par_5_83" "" [40.2410516730986,-3.7693471257912896] 4490868.288730003
699 "5__4_B___2__IT_1" "5_I11-5_I11_05:40:00_2_3_5__C4_B__" 10774 "par_5_37" "" [40.2410516730986,-3.7693471257912896] 4490868.288730003
3 "5__2____2__IT_1" "5_I11-5_I11_05:00:00_2_47_5__C2___" 22 "par_5_51" "NUEVOS MINISTERIOS" [40.44651749232879,-3.6908319670971084] 128.11888499942754
3 "5__2____2__IT_1" "5_I11-5_I11_05:00:00_2_47_5__C2___" 35 "par_5_3" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
3 "5__2____2__IT_1" "5_I11-5_I11_05:00:00_2_47_5__C2___" 36 "par_5_45" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
3 "5__2____2__IT_1" "5_I11-5_I11_05:00:00_2_47_5__C2___" 37 "par_5_12" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
3 "5__2____2__IT_1" "5_I11-5_I11_05:00:00_2_47_5__C2___" 38 "par_5_38" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
1052 "5__5____2__IT_1" "5_I11-5_I11_05:12:00_2_3_5__C5___" 15855 "par_5_46" "MÉNDEZ ÁLVARO" [40.395800235695795,-3.67970643636388] 145.44527997270762
1837 "5__10____2__IT_1" "5_I11-5_I11_05:47:00_2_39_5__C10___" 32421 "par_5_51" "NUEVOS MINISTERIOS" [40.4465174922305,-3.6908319674306553] 128.11885785880546
1837 "5__10____2__IT_1" "5_I11-5_I11_05:47:00_2_39_5__C10___" 32427 "par_5_61" "PRÍNCIPE PÍO" [40.42190024061037,-3.7190935897715702] 135.17466870404903
1051 "5__5____1__IT_1" "5_I11-5_I11_05:00:00_1_2_5__C5___" 15834 "par_5_46" "MÉNDEZ ÁLVARO" [40.395749039116154,-3.679864258898089] 156.57282330646302
1836 "5__10____1__IT_1" "5_I11-5_I11_05:33:00_1_3_5__C10___" 32412 "par_5_51" "NUEVOS MINISTERIOS" [40.44650663850146,-3.690711127293189] 138.41158174935453
1725 "5__8____2__IT_1" "5_I11-5_I11_06:00:00_2_5_5__C8___" 30857 "par_5_47" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
1725 "5__8____2__IT_1" "5_I11-5_I11_06:00:00_2_5_5__C8___" 30858 "par_5_20" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
1725 "5__8____2__IT_1" "5_I11-5_I11_06:00:00_2_5_5__C8___" 30859 "par_5_6" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
1725 "5__8____2__IT_1" "5_I11-5_I11_06:00:00_2_5_5__C8___" 30860 "par_5_50" "" [40.376062903847405,-3.65132190550538] 4504807.764172978
2 "5__2____1__IT_1" "5_I11-5_I11_04:57:00_1_82_5__C2___" 2 "par_5_38" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
2 "5__2____1__IT_1" "5_I11-5_I11_04:57:00_1_82_5__C2___" 3 "par_5_12" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
2 "5__2____1__IT_1" "5_I11-5_I11_04:57:00_1_82_5__C2___" 4 "par_5_45" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
2 "5__2____1__IT_1" "5_I11-5_I11_04:57:00_1_82_5__C2___" 5 "par_5_3" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
2 "5__2____1__IT_1" "5_I11-5_I11_04:57:00_1_82_5__C2___" 19 "par_5_51" "NUEVOS MINISTERIOS" [40.446506638271316,-3.6907111280740836] 138.4115182748485
696 "5__4_B___1__IT_1" "5_I11-5_I11_05:06:00_1_4_5__C4_B__" 10745 "par_5_37" "" [40.2410482230773,-3.7692997460810207] 4490867.499067611
696 "5__4_B___1__IT_1" "5_I11-5_I11_05:06:00_1_4_5__C4_B__" 10746 "par_5_83" "" [40.2410482230773,-3.7692997460810207] 4490867.499067611
696 "5__4_B___1__IT_1" "5_I11-5_I11_05:06:00_1_4_5__C4_B__" 10747 "par_5_21" "" [40.2410482230773,-3.7692997460810207] 4490867.499067611
1726 "5__8____1__IT_1" "5_I11-5_I11_06:14:00_1_23_5__C8___" 30879 "par_5_50" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
1726 "5__8____1__IT_1" "5_I11-5_I11_06:14:00_1_23_5__C8___" 30880 "par_5_6" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
1726 "5__8____1__IT_1" "5_I11-5_I11_06:14:00_1_23_5__C8___" 30881 "par_5_20" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
1728 "5__8____1__IT_1" "5_I11-5_I11_06:44:00_1_24_5__C8___" 30908 "par_5_47" "" [40.37612820206401,-3.6513324435265107] 4504815.07755175
stop_without_stop_time WARNING 10

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
2 "par_5_103" "CASAR EL"
6 "par_5_19" "CIEMPOZUELOS"
7 "par_5_35" "GETAFE INDUSTRIAL"
9 "par_5_56" "PINTO"
10 "par_5_69" "SAN CRISTÓBAL DE LOS ANGELES"
11 "par_5_70" "SAN CRISTÓBAL INDUSTRIAL"
12 "par_5_8" "ARANJUEZ"
13 "par_5_86" "VALDEMORO"
75 "par_5_23" "COTOS"
76 "par_5_63" "PUERTO NAVACERRADA"
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.
"20251212" "20240704" "20250704"