GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T21:12:12Z,
for the dataset file:///shared/autobuses-M89-079.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: 4
  • Shapes: 15
  • Stops: 96
  • Trips: 147

Specification Compliance report

705 notices reported (39 errors, 666 warnings, 0 infos)

Notice Code Severity Total
stop_time_with_arrival_before_previous_departure_time ERROR 39

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
1584 1583 "132470_8__272___-1980844" "13:20:00" "13:20:01"
1553 1552 "132470_8__272___-1980843" "12:00:00" "12:00:01"
1522 1521 "132470_8__272___-1980842" "10:40:00" "10:40:01"
1491 1490 "132470_8__272___-1980841" "09:20:00" "09:20:01"
1633 1632 "132471_8__272___-1980839" "06:30:00" "06:30:01"
1615 1614 "132470_8__272___-1980845" "14:40:00" "14:40:01"
215 214 "132468_8__271___-1980788" "15:40:00" "15:40:01"
1239 1238 "132469_8__272___-1980846" "16:00:00" "16:00:01"
1453 1452 "132470_8__272___-1980840" "07:45:00" "07:45:01"
1332 1331 "132469_8__272___-1980849" "20:00:00" "20:00:01"
1301 1300 "132469_8__272___-1980848" "18:40:00" "18:40:01"
1270 1269 "132469_8__272___-1980847" "17:20:00" "17:20:01"
1425 1424 "132469_8__272___-1980852" "23:45:00" "23:45:01"
1394 1393 "132469_8__272___-1980851" "22:40:00" "22:40:01"
1363 1362 "132469_8__272___-1980850" "21:20:00" "21:20:01"
176 175 "132466_8__271___-1980813" "23:45:00" "23:45:01"
144 143 "132466_8__271___-1980811" "22:15:00" "22:15:01"
105 104 "132466_8__271___-1980809" "20:30:00" "20:30:01"
594 593 "132476_8__271___-1980800" "10:25:00" "10:25:01"
65 64 "132466_8__271___-1980807" "18:45:00" "18:45:01"
640 639 "132476_8__271___-1980802" "13:00:00" "13:00:01"
26 25 "132466_8__271___-1980805" "16:50:00" "16:50:01"
261 260 "132468_8__271___-1980790" "18:00:00" "18:00:01"
339 338 "132468_8__271___-1980794" "21:30:00" "21:30:01"
300 299 "132468_8__271___-1980792" "19:40:00" "19:40:01"
1959 1958 "132473_8__275___-1980819" "13:40:00" "13:40:01"
1925 1924 "132473_8__275___-1980817" "10:05:00" "10:05:01"
506 505 "132475_8__271___-1980796" "23:15:00" "23:15:01"
378 377 "132474_8__271___-1980780" "08:40:00" "08:40:01"
1993 1992 "132477_8__275___-1980821" "16:20:00" "16:20:01"
2027 2026 "132477_8__275___-1980823" "20:30:00" "20:30:01"
2750 2749 "132459_8_N_200___-1980776" "02:30:00" "02:30:01"
442 441 "132474_8__271___-1980784" "11:45:00" "11:45:01"
548 547 "132476_8__271___-1980798" "08:00:00" "08:00:01"
410 409 "132474_8__271___-1980782" "10:20:00" "10:20:01"
474 473 "132474_8__271___-1980786" "13:10:00" "13:10:01"
2416 2415 "132467_8_N_200___-1980855" "02:30:00" "02:30:01"
2583 2582 "132452_8_N_200___-1980742" "02:30:00" "02:30:01"
1891 1890 "132472_8__275___-1980815" "06:40:00" "06:40:01"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 15

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.
"8_N_200____1_u._IT_2" 3455 1053.51553240165 20000001 3454 1053.51553240165 19000026 0.17575083644162623
"8_N_200____1_u._IT_2" 3656 1142.69067664371 27000001 3655 1142.69067664371 26000068 0.025482918471836386
"8_N_200____1_u._IT_2" 4313 1800.5710747487 31000001 4312 1800.5710747487 30000248 1.001763228712802E-4
"8__271____2_e._IT_2" 11539 2353.93971540665 16000001 11538 2353.93971540665 15000081 0.0035372028781097986
"8__272____2_q._IT_2" 23271 565.230926921959 9000001 23270 565.230926921959 8000073 1.4139399403978554E-4
"8__271____2_p._IT_2" 14724 1978.93163892008 3000001 14723 1978.93163892008 2000148 0.0684051970848471
"8__272____2_p._IT_2" 21593 2097.79502631195 3000001 21592 2097.79502631195 2000148 0.0684051970848471
"8__272____2_p._IT_2" 21868 2291.82447039965 9000001 21867 2291.82447039965 8000095 0.0014430163546528371
"8_N_200____1_-_IT_1" 2092 1990.30126497885 31000001 2091 1990.30126497885 30000070 1.00176389593845E-4
"8_N_200____1_-_IT_1" 2338 2200.23783935294 32000001 2337 2200.23783935294 31000246 1.001763228712802E-4
"8__271____1_-_IT_1" 6871 305.899767407192 2000001 6870 305.899767407192 1000288 0.1986937669672568
"8__271____2_-_IT_1" 13423 2348.15000145061 16000001 13422 2348.15000145061 15000083 0.0035372028781097986
"8__271____2_-_IT_1" 13944 2842.3653635771 23000001 13943 2842.3653635771 22000073 9.978558239723884E-5
"8__272____2_-_IT_1" 20272 78.502009324755 2000001 20271 78.502009324755 1000095 0.0014430163546528371
"8__272____2_-_IT_1" 20793 570.384466699575 9000001 20792 570.384466699575 8000073 1.00176389593845E-4
equal_shape_distance_same_coordinates WARNING 249

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 249 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`.
"8_N_200____1_u._IT_2" 2375 0.410279670829 2000001 2374 0.410279670829 1000002
"8_N_200____1_u._IT_2" 2419 14.681724622901 3000001 2418 14.681724622901 2000044
"8_N_200____1_u._IT_2" 2661 295.254471896592 4000001 2660 295.254471896592 3000242
"8_N_200____1_u._IT_2" 2736 332.602405367497 5000001 2735 332.602405367497 4000075
"8_N_200____1_u._IT_2" 2791 355.342083440364 6000001 2790 355.342083440364 5000055
"8_N_200____1_u._IT_2" 3204 981.04407969079 7000001 3203 981.04407969079 6000413
"8_N_200____1_u._IT_2" 3252 1019.69980851889 8000001 3251 1019.69980851889 7000048
"8_N_200____1_u._IT_2" 3264 1020.35119189697 9000001 3263 1020.35119189697 8000012
"8_N_200____1_u._IT_2" 3275 1022.41967758063 10000001 3274 1022.41967758063 9000011
"8_N_200____1_u._IT_2" 3291 1026.27833714145 11000001 3290 1026.27833714145 10000016
"8_N_200____1_u._IT_2" 3305 1027.90586009441 12000001 3304 1027.90586009441 11000014
"8_N_200____1_u._IT_2" 3324 1031.67145770257 13000001 3323 1031.67145770257 12000019
"8_N_200____1_u._IT_2" 3346 1037.26041575915 14000001 3345 1037.26041575915 13000022
"8_N_200____1_u._IT_2" 3350 1037.62722796362 15000001 3349 1037.62722796362 14000004
"8_N_200____1_u._IT_2" 3368 1041.35702181172 16000001 3367 1041.35702181172 15000018
"8_N_200____1_u._IT_2" 3394 1047.21508122847 17000001 3393 1047.21508122847 16000026
"8_N_200____1_u._IT_2" 3423 1050.53850251786 18000001 3422 1050.53850251786 17000029
"8_N_200____1_u._IT_2" 3429 1050.88905725799 19000001 3428 1050.88905725799 18000006
"8_N_200____1_u._IT_2" 3475 1060.00511295511 21000001 3474 1060.00511295511 20000020
"8_N_200____1_u._IT_2" 3487 1062.51556288444 22000001 3486 1062.51556288444 21000012
"8_N_200____1_u._IT_2" 3505 1065.6875994973 23000001 3504 1065.6875994973 22000018
"8_N_200____1_u._IT_2" 3528 1071.92723536164 24000001 3527 1071.92723536164 23000023
"8_N_200____1_u._IT_2" 3554 1078.64067375497 25000001 3553 1078.64067375497 24000026
"8_N_200____1_u._IT_2" 3588 1093.89145129951 26000001 3587 1093.89145129951 25000034
"8_N_200____1_u._IT_2" 3938 1539.90822515899 28000001 3937 1539.90822515899 27000282
"8_N_200____1_u._IT_2" 3992 1563.71604928142 29000001 3991 1563.71604928142 28000054
"8_N_200____1_u._IT_2" 4065 1590.33330066241 30000001 4064 1590.33330066241 29000073
"8_N_200____1_u._IT_2" 4346 1808.27687105326 32000001 4345 1808.27687105326 31000033
"8__275____1_-_IT_1" 23826 305.37472035895 2000001 23825 305.37472035895 1000288
"8__275____1_-_IT_1" 23901 342.722653829855 3000001 23900 342.722653829855 2000075
"8__275____1_-_IT_1" 23956 365.462331902722 4000001 23955 365.462331902722 3000055
"8__275____1_-_IT_1" 24392 1075.85607063102 5000001 24391 1075.85607063102 4000436
"8__275____1_-_IT_1" 24423 1079.59968670328 6000001 24422 1079.59968670328 5000031
"8__275____1_-_IT_1" 24627 1735.74855976571 7000001 24626 1735.74855976571 6000204
"8__275____1_-_IT_1" 24859 2176.53842344759 8000001 24858 2176.53842344759 7000232
"8__275____1_-_IT_1" 24881 2180.66486243376 9000001 24880 2180.66486243376 8000022
"8__275____1_-_IT_1" 24930 2212.24324132633 10000001 24929 2212.24324132633 9000049
"8__275____1_-_IT_1" 24982 2284.60815547954 11000001 24981 2284.60815547954 10000052
"8__275____1_-_IT_1" 25304 3501.65712516367 12000001 25303 3501.65712516367 11000322
"8__275____1_-_IT_1" 25326 3505.71593096644 13000001 25325 3505.71593096644 12000022
"8__275____1_-_IT_1" 25346 3508.5484575612 14000001 25345 3508.5484575612 13000020
"8__275____1_-_IT_1" 25737 5382.88561555446 15000001 25736 5382.88561555446 14000391
"8__275____1_-_IT_1" 25854 5494.43766037981 16000001 25853 5494.43766037981 15000117
"8__271____2_e._IT_2" 10577 32.312294583307 2000001 10576 32.312294583307 1000051
"8__271____2_e._IT_2" 10598 42.074915993334 3000001 10597 42.074915993334 2000021
"8__271____2_e._IT_2" 10637 98.805464218383 4000001 10636 98.805464218383 3000039
"8__271____2_e._IT_2" 10688 128.481952218813 5000001 10687 128.481952218813 4000051
"8__271____2_e._IT_2" 11073 2056.12375495528 6000001 11072 2056.12375495528 5000385
"8__271____2_e._IT_2" 11205 2189.7955316877 7000001 11204 2189.7955316877 6000132
"8__271____2_e._IT_2" 11225 2194.3262287338 8000001 11224 2194.3262287338 7000020
fast_travel_between_consecutive_stops WARNING 10

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.
23 "132474_8__271___-1980782" "8__271___" 426.6875038173496 7.111458396955826 409 0 "par_8_09665" "PEZUELA-SANTA ANA" "10:20:01" 410 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "10:20:00"
5 "132466_8__271___-1980807" "8__271___" 426.6875038173496 7.111458396955826 64 0 "par_8_09665" "PEZUELA-SANTA ANA" "18:45:01" 65 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "18:45:00"
29 "132475_8__271___-1980796" "8__271___" 426.6875038173496 7.111458396955826 505 0 "par_8_09665" "PEZUELA-SANTA ANA" "23:15:01" 506 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "23:15:00"
25 "132474_8__271___-1980784" "8__271___" 426.6875038173496 7.111458396955826 441 0 "par_8_09665" "PEZUELA-SANTA ANA" "11:45:01" 442 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "11:45:00"
17 "132468_8__271___-1980792" "8__271___" 426.6875038173496 7.111458396955826 299 0 "par_8_09665" "PEZUELA-SANTA ANA" "19:40:01" 300 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "19:40:00"
27 "132474_8__271___-1980786" "8__271___" 426.6875038173496 7.111458396955826 473 0 "par_8_09665" "PEZUELA-SANTA ANA" "13:10:01" 474 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "13:10:00"
11 "132466_8__271___-1980813" "8__271___" 426.6875038173496 7.111458396955826 175 0 "par_8_09665" "PEZUELA-SANTA ANA" "23:45:01" 176 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "23:45:00"
21 "132474_8__271___-1980780" "8__271___" 426.6875038173496 7.111458396955826 377 0 "par_8_09665" "PEZUELA-SANTA ANA" "08:40:01" 378 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "08:40:00"
9 "132466_8__271___-1980811" "8__271___" 426.6875038173496 7.111458396955826 143 0 "par_8_09665" "PEZUELA-SANTA ANA" "22:15:01" 144 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "22:15:00"
80 "132470_8__272___-1980840" "8__272___" 426.6875038173496 7.111458396955826 1452 0 "par_8_09665" "PEZUELA-SANTA ANA" "07:45:01" 1453 1 "par_8_09528" "CORPA-PZA.ESPAÑA" "07:45:00"
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 388

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 388 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_long_name" "ALCALÁ DE HENARES-PEZUELA-PIOZ" 2
"routes.txt" "route_long_name" "ALCALÁ DE HENARES-VILLALBILLA" 3
"routes.txt" "route_long_name" "ALCALÁ-LOS SANTOS DE LA HUMOSA-ALCALÁ" 4
"routes.txt" "route_long_name" "ALCALÁ DE HENARES - VILLALBILLA - ALCALÁ DE HENARES" 5
"stops.txt" "stop_name" "PZA.PUERTA DEL VADO-PºLAS MORERAS" 2
"stops.txt" "stop_name" "PºESTACIÓN-ZULOAGA" 3
"stops.txt" "stop_name" "AV.GUADALAJARA-BRIHUEGA" 4
"stops.txt" "stop_name" "PºPASTRANA-PZA.PUERTA DEL VADO" 5
"stops.txt" "stop_name" "CORPA-PZA.ESPAÑA" 6
"stops.txt" "stop_name" "PEZUELA-SANTA ANA" 7
"stops.txt" "stop_name" "AV.URBA-URB.EL ROBLEDAL" 8
"stops.txt" "stop_name" "VILLALBILLA-PZA.QUIOSCO" 9
"stops.txt" "stop_name" "CTRA.M204-EL GURUGÚ" 10
"stops.txt" "stop_name" "CTRA.M300-EL GURUGÚ" 11
"stops.txt" "stop_name" "VILLALBILLA-PZA.QUIOSCO" 12
"stops.txt" "stop_name" "DEMETRIO DUCAS-ESCUELA INFANTIL" 13
"stops.txt" "stop_name" "CORPA-PZA.ESPAÑA" 14
"stops.txt" "stop_name" "PEZUELA-SANTA ANA" 15
"stops.txt" "stop_name" "CTRA.M204-EL GURUGÚ" 16
"stops.txt" "stop_name" "MARCOS MARTÍNEZ-PºESTACIÓN" 17
"stops.txt" "stop_name" "PºPASTRANA-RÍO TER" 18
"stops.txt" "stop_name" "PºPASTRANA-BOLARQUE" 19
"stops.txt" "stop_name" "MADRESELVA-VALDELÁGUILA" 20
"stops.txt" "stop_name" "MADRESELVA-VALDELÁGUILA" 21
"stops.txt" "stop_name" "ESPLIEGO-TOMILLO" 22
"stops.txt" "stop_name" "ESPLIEGO-TOMILLO" 23
"stops.txt" "stop_name" "AV.ROMERO-TOMILLO" 24
"stops.txt" "stop_name" "AV.ROMERO-TOMILLO" 25
"stops.txt" "stop_name" "AV.ROMERO-ESPLIEGO" 26
"stops.txt" "stop_name" "AV.ROMERO-ESPLIEGO" 27
"stops.txt" "stop_name" "AV.OLIMPIADA-CLUB DE GOLF" 28
"stops.txt" "stop_name" "AV.OLIMPIADA-CLUB DE GOLF" 29
"stops.txt" "stop_name" "AV.URBA-AV.ROBLEDAL" 30
"stops.txt" "stop_name" "CTRA.M204-POL.IND.LOS BORDALES" 31
"stops.txt" "stop_name" "CTRA.M204-POL.IND.LOS BORDALES" 32
"stops.txt" "stop_name" "CTRA.M233-PARQUE ARROYO DEL TESORO" 33
"stops.txt" "stop_name" "CTRA.M233-PARQUE ARROYO DEL TESORO" 34
"stops.txt" "stop_name" "CTRA.M204-POL.IND.EL GURUGÚ" 35
"stops.txt" "stop_name" "CTRA.M204-POL.IND.EL GURUGÚ" 36
"stops.txt" "stop_name" "AV.PARQUES NATURALES-MONFRAGÜE" 37
"stops.txt" "stop_name" "AV.PARQUES NATURALES-ARRIBES DEL DUERO" 38
"stops.txt" "stop_name" "AV.PARQUES NATURALES-COLEGIO" 39
"stops.txt" "stop_name" "AV.PARQUES NATURALES-LAGO SANABRIA" 40
"stops.txt" "stop_name" "CºCORPA-SIERRA LA DEMANDA" 41
"stops.txt" "stop_name" "CºCORPA-HAYEDO DE MONTEJO" 42
"stops.txt" "stop_name" "HAYEDO DE MONTEJO-PEÑA DE FRANCIA" 43
"stops.txt" "stop_name" "HAYEDO DE MONTEJO-PEÑA DE FRANCIA" 44
"stops.txt" "stop_name" "CTRA.VALDELÁGUILA-POLIDEPORTIVO" 45
"stops.txt" "stop_name" "CTRA.VALDELÁGUILA-POLIDEPORTIVO" 46
"stops.txt" "stop_name" "CTRA.M204-ESTACIÓN DE SERVICIO" 47
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.
5 "8__271____2_p._IT_2" "132466_8__271___-1980807" 64 "par_8_09665" "PEZUELA-SANTA ANA" [40.4189413436627,-3.17926743004681] 216.517171658584