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colectivos — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-04T01:56:26Z,
for the dataset file:///shared/colectivos_a86ba857.zip. No country code was provided.

Use this report alongside our documentation.

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_dates.txt
  3. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts

  • Agencies: 192
  • Blocks: 436407
  • Routes: 1052
  • Shapes: 2066
  • Stops: 43594
  • Trips: 436407

Specification Compliance report

153256 notices reported (3554 errors, 149701 warnings, 1 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 3554

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.

Only the first 50 of 3554 affected records are displayed below.

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`.
"17572-1" "2021098" 1229293 27796.0 51 1229292 27796.0 50
"19146-1" "2021098" 1330215 27650.0 55 1330214 27650.0 54
"110041-1" "2021098" 7435864 12969.0 35 7435863 12969.0 34
"17573-1" "2021098" 1229376 27796.0 51 1229375 27796.0 50
"19145-1" "2021098" 1330150 27650.0 55 1330149 27650.0 54
"110040-1" "2021098" 7435785 12969.0 35 7435784 12969.0 34
"17574-1" "2021098" 1229459 27796.0 51 1229458 27796.0 50
"19148-1" "2021098" 1330345 27650.0 55 1330344 27650.0 54
"110043-1" "2021098" 7436022 12969.0 35 7436021 12969.0 34
"17575-1" "2021098" 1229542 27796.0 51 1229541 27796.0 50
"19147-1" "2021098" 1330280 27650.0 55 1330279 27650.0 54
"110042-1" "2021098" 7435943 12969.0 35 7435942 12969.0 34
"17576-1" "2021098" 1229625 27796.0 51 1229624 27796.0 50
"128758-1" "2021098" 8669151 16171.0 50 8669150 16171.0 49
"17577-1" "2021098" 1229708 27796.0 51 1229707 27796.0 50
"19149-1" "2021098" 1330410 27650.0 55 1330409 27650.0 54
"17578-1" "2021098" 1229791 27796.0 51 1229790 27796.0 50
"128756-1" "2021098" 8669031 16171.0 50 8669030 16171.0 49
"17579-1" "2021098" 1229874 27796.0 51 1229873 27796.0 50
"128757-1" "2021098" 8669091 16171.0 50 8669090 16171.0 49
"129151-1" "2021098" 8697186 15873.0 54 8697185 15873.0 53
"110049-1" "2021098" 7436496 12969.0 35 7436495 12969.0 34
"129152-1" "2021098" 8697250 15873.0 54 8697249 15873.0 53
"434909-1" "2021098" 29203224 17550.0 42 29203223 17550.0 41
"232441-1" "2021098" 15681133 25760.0 53 15681132 25760.0 52
"18610-1" "2021098" 1290246 15873.0 54 1290245 15873.0 53
"129150-1" "2021098" 8697122 15873.0 54 8697121 15873.0 53
"434908-1" "2021098" 29203138 17550.0 42 29203137 17550.0 41
"232440-1" "2021098" 15681048 25760.0 53 15681047 25760.0 52
"110046-1" "2021098" 7436259 12969.0 35 7436258 12969.0 34
"18611-1" "2021098" 1290310 15873.0 54 1290309 15873.0 53
"434907-1" "2021098" 29203052 17550.0 42 29203051 17550.0 41
"110045-1" "2021098" 7436180 12969.0 35 7436179 12969.0 34
"18612-1" "2021098" 1290374 15873.0 54 1290373 15873.0 53
"110044-1" "2021098" 7436101 12969.0 35 7436100 12969.0 34
"434906-1" "2021098" 29202966 17550.0 42 29202965 17550.0 41
"18613-1" "2021098" 1290438 15873.0 54 1290437 15873.0 53
"110048-1" "2021098" 7436417 12969.0 35 7436416 12969.0 34
"434905-1" "2021098" 29202880 17550.0 42 29202879 17550.0 41
"18614-1" "2021098" 1290502 15873.0 54 1290501 15873.0 53
"110047-1" "2021098" 7436338 12969.0 35 7436337 12969.0 34
"434904-1" "2021098" 29202794 17550.0 42 29202793 17550.0 41
"18615-1" "2021098" 1290566 15873.0 54 1290565 15873.0 53
"434903-1" "2021098" 29202708 17550.0 42 29202707 17550.0 41
"434902-1" "2021098" 29202622 17550.0 42 29202621 17550.0 41
"18616-1" "2021098" 1290630 15873.0 54 1290629 15873.0 53
"434901-1" "2021098" 29202536 17550.0 42 29202535 17550.0 41
"18617-1" "2021098" 1290694 15873.0 54 1290693 15873.0 53
"129157-1" "2021098" 8697570 15873.0 54 8697569 15873.0 53
"234809-1" "2021098" 15822156 27568.0 50 15822155 27568.0 49
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 23

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.
"633" 639666 124716.0 1101 639665 124716.0 1100 0.4706075030112344
"634" 640625 111535.0 869 640624 111535.0 868 0.43227633142977073
"289" 340629 25760.0 360 340628 25760.0 359 0.8895608094005769
"293" 699646 17232.0 245 699645 17232.0 244 0.8895608094005769
"299" 359049 27796.0 303 359048 27796.0 302 0.8895608094005769
"1974" 317513 12969.0 194 317512 12969.0 193 0.8895608094005769
"1531" 712702 100464.0 1265 712701 100464.0 1264 0.4268507351983887
"1582" 344426 111147.0 931 344425 111147.0 930 0.4706075030112344
"1586" 363394 118089.0 1144 363393 118089.0 1143 0.4706075030112344
"2012" 754860 17550.0 272 754859 17550.0 271 0.8895608094005769
"2020" 362666 12969.0 194 362665 12969.0 193 0.8895608094005769
"2018" 361996 17550.0 272 361995 17550.0 271 0.8895608094005769
"2024" 430903 17550.0 272 430902 17550.0 271 0.8895608094005769
"305" 279986 9357.0 147 279985 9357.0 146 0.8895608094005769
"313" 109057 16171.0 232 109056 16171.0 231 0.8895608094005769
"328" 416150 15873.0 227 416149 15873.0 226 0.8895608094005769
"342" 542977 27650.0 383 542976 27650.0 382 0.8895608094005769
"348" 184911 27568.0 298 184910 27568.0 297 0.8895608094005769
"356" 553201 27796.0 303 553200 27796.0 302 0.8895608094005769
"1623" 222137 106536.0 1206 222136 106536.0 1205 0.4268507351983887
"1646" 144594 115468.0 603 144593 115468.0 602 0.3335853034368008
"1842" 442809 113526.0 840 442808 113526.0 839 0.4706075030112344
"1840" 428675 106827.0 768 428674 106827.0 767 0.4706075030112344
equal_shape_distance_same_coordinates WARNING 714

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 714 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`.
"1455" 26144 2778.0 43 26143 2778.0 42
"4" 2459 3428.0 23 2458 3428.0 22
"4" 2493 10341.0 57 2492 10341.0 56
"6" 2618 3591.0 40 2617 3591.0 39
"6" 2713 13173.0 135 2712 13173.0 134
"1484" 72731 47644.0 647 72730 47644.0 646
"1482" 148734 23311.0 345 148733 23311.0 344
"1480" 147868 24147.0 355 147867 24147.0 354
"1478" 737359 24147.0 355 737358 24147.0 354
"1476" 736474 24147.0 355 736473 24147.0 354
"1495" 589332 8538.0 87 589331 8538.0 86
"1494" 589179 25350.0 372 589178 25350.0 371
"1492" 538983 28121.0 376 538982 28121.0 375
"1490" 538011 41155.0 556 538010 41155.0 555
"1002" 481897 4890.0 100 481896 4890.0 99
"1002" 481909 5559.0 112 481908 5559.0 111
"1020" 93043 3130.0 49 93042 3130.0 48
"1019" 92972 19631.0 269 92971 19631.0 268
"1019" 92986 20594.0 283 92985 20594.0 282
"1015" 228665 3087.0 38 228664 3087.0 37
"1498" 589945 3883.0 48 589944 3883.0 47
"1012" 227877 20584.0 348 227876 20584.0 347
"602" 526953 26439.0 438 526952 26439.0 437
"1043" 636671 3494.0 54 636670 3494.0 53
"1043" 636706 6345.0 89 636705 6345.0 88
"1042" 636439 1358.0 20 636438 1358.0 19
"1038" 266078 5768.0 84 266077 5768.0 83
"611" 239467 31425.0 409 239466 31425.0 408
"616" 251236 35477.0 293 251235 35477.0 292
"1050" 315717 30889.0 522 315716 30889.0 521
"1045" 637250 10425.0 148 637249 10425.0 147
"631" 451282 8129.0 111 451281 8129.0 110
"633" 563731 88465.0 846 563730 88465.0 845
"1070" 541119 30990.0 536 541118 30990.0 535
"1068" 23687 17855.0 421 23686 17855.0 420
"646" 125628 6251.0 119 125627 6251.0 118
"647" 125928 9303.0 150 125927 9303.0 149
"1080" 485490 14082.0 205 485489 14082.0 204
"1084" 682406 14082.0 205 682405 14082.0 204
"651" 708753 20102.0 278 708752 20102.0 277
"655" 112086 20102.0 278 112085 20102.0 277
"1091" 683496 5150.0 70 683495 5150.0 69
"1091" 683502 5307.0 76 683501 5307.0 75
"1090" 683348 1029.0 17 683347 1029.0 16
"1096" 612441 5321.0 80 612440 5321.0 79
"1096" 612927 32009.0 566 612926 32009.0 565
"1095" 611980 17824.0 245 611979 17824.0 244
"1094" 611721 4111.0 58 611720 4111.0 57
"663" 587086 35584.0 526 587085 35584.0 525
"664" 587602 23772.0 367 587601 23772.0 366
expired_calendar WARNING 4

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 "1"
3 "2"
4 "3"
16 "4"
fast_travel_between_consecutive_stops WARNING 1466

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.

Only the first 50 of 1466 affected records are displayed below.

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.
15817 "15816-1" "1475" 164.87871151633405 0.09159928417574113 1121259 54 "6408123196" "ALBENIZ 3299-3399" "10:40:22" 1121260 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "10:40:24"
230193 "230192-1" "1475" 164.87871151633405 0.09159928417574113 15537166 54 "6408123196" "ALBENIZ 3299-3399" "10:40:22" 15537167 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "10:40:24"
15817 "15816-1" "1475" 179.04566381377285 0.0994698132298738 1121261 56 "6408114431" "EVA PERÓN 3100-3198" "10:40:30" 1121262 57 "6408114231" "EVA PERÓN 3050-3098" "10:40:32"
230193 "230192-1" "1475" 179.04566381377285 0.0994698132298738 15537168 56 "6408114431" "EVA PERÓN 3100-3198" "10:40:30" 15537169 57 "6408114231" "EVA PERÓN 3050-3098" "10:40:32"
126829 "126828-1" "1475" 164.87871151633405 0.09159928417574113 8555987 54 "6408123196" "ALBENIZ 3299-3399" "09:15:22" 8555988 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "09:15:24"
126829 "126828-1" "1475" 179.04566381377285 0.0994698132298738 8555989 56 "6408114431" "EVA PERÓN 3100-3198" "09:15:30" 8555990 57 "6408114231" "EVA PERÓN 3050-3098" "09:15:32"
230200 "230199-1" "1475" 164.87871151633405 0.09159928417574113 15537782 54 "6408123196" "ALBENIZ 3299-3399" "14:10:22" 15537783 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "14:10:24"
15824 "15823-1" "1475" 164.87871151633405 0.09159928417574113 1121875 54 "6408123196" "ALBENIZ 3299-3399" "14:10:22" 1121876 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "14:10:24"
230200 "230199-1" "1475" 179.04566381377285 0.0994698132298738 15537784 56 "6408114431" "EVA PERÓN 3100-3198" "14:10:30" 15537785 57 "6408114231" "EVA PERÓN 3050-3098" "14:10:32"
15824 "15823-1" "1475" 179.04566381377285 0.0994698132298738 1121877 56 "6408114431" "EVA PERÓN 3100-3198" "14:10:30" 1121878 57 "6408114231" "EVA PERÓN 3050-3098" "14:10:32"
126849 "126848-1" "1475" 164.87871151633405 0.09159928417574113 8557747 54 "6408123196" "ALBENIZ 3299-3399" "20:55:22" 8557748 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "20:55:24"
126849 "126848-1" "1475" 179.04566381377285 0.0994698132298738 8557749 56 "6408114431" "EVA PERÓN 3100-3198" "20:55:30" 8557750 57 "6408114231" "EVA PERÓN 3050-3098" "20:55:32"
233749 "233748-1" "1589" 347.4124336056327 0.5790207226760545 15755550 2 "205463" "1795 LIMA" "21:26:30" 15755551 3 "205375" "167 CARRILLO RAMON DR." "21:26:36"
233749 "233748-1" "1589" 576.4856129437428 0.32026978496874603 15755551 3 "205375" "167 CARRILLO RAMON DR." "21:26:36" 15755552 4 "205377" "387 CARRILLO RAMON DR." "21:26:38"
233749 "233748-1" "1589" 594.037891294777 0.33002105071932053 15755553 5 "205378" "473 CARRILLO RAMON DR." "21:26:38" 15755554 6 "205380" "639 CARRILLO RAMON DR." "21:26:40"
233749 "233748-1" "1589" 387.52721920865787 0.21529289956036549 15755554 6 "205380" "639 CARRILLO RAMON DR." "21:26:40" 15755555 7 "205382" "889 PINEDO AV." "21:26:42"
233749 "233748-1" "1589" 342.003811768508 0.1900021176491711 15755556 8 "205545" "2382 AUSTRALIA AV." "21:31:36" 15755557 9 "205541" "2566 AUSTRALIA AV." "21:31:38"
233749 "233748-1" "1589" 182.19390925732333 0.10121883847629073 15755558 10 "2031433" "2708 AUSTRALIA AV." "21:31:38" 15755559 11 "205538" "2785 AUSTRALIA AV." "21:31:40"
230213 "230212-1" "1475" 164.87871151633405 0.09159928417574113 15538926 54 "6408123196" "ALBENIZ 3299-3399" "20:40:22" 15538927 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "20:40:24"
15837 "15836-1" "1475" 164.87871151633405 0.09159928417574113 1123019 54 "6408123196" "ALBENIZ 3299-3399" "20:40:22" 1123020 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "20:40:24"
230213 "230212-1" "1475" 179.04566381377285 0.0994698132298738 15538928 56 "6408114431" "EVA PERÓN 3100-3198" "20:40:30" 15538929 57 "6408114231" "EVA PERÓN 3050-3098" "20:40:32"
15837 "15836-1" "1475" 179.04566381377285 0.0994698132298738 1123021 56 "6408114431" "EVA PERÓN 3100-3198" "20:40:30" 1123022 57 "6408114231" "EVA PERÓN 3050-3098" "20:40:32"
233757 "233756-1" "1589" 347.4124336056327 0.5790207226760545 15756454 2 "205463" "1795 LIMA" "26:00:00" 15756455 3 "205375" "167 CARRILLO RAMON DR." "26:00:06"
233757 "233756-1" "1589" 576.4856129437428 0.32026978496874603 15756455 3 "205375" "167 CARRILLO RAMON DR." "26:00:06" 15756456 4 "205377" "387 CARRILLO RAMON DR." "26:00:08"
233757 "233756-1" "1589" 594.037891294777 0.33002105071932053 15756457 5 "205378" "473 CARRILLO RAMON DR." "26:00:08" 15756458 6 "205380" "639 CARRILLO RAMON DR." "26:00:10"
233757 "233756-1" "1589" 387.52721920865787 0.21529289956036549 15756458 6 "205380" "639 CARRILLO RAMON DR." "26:00:10" 15756459 7 "205382" "889 PINEDO AV." "26:00:12"
233757 "233756-1" "1589" 342.003811768508 0.1900021176491711 15756460 8 "205545" "2382 AUSTRALIA AV." "26:05:06" 15756461 9 "205541" "2566 AUSTRALIA AV." "26:05:08"
233757 "233756-1" "1589" 182.19390925732333 0.10121883847629073 15756462 10 "2031433" "2708 AUSTRALIA AV." "26:05:08" 15756463 11 "205538" "2785 AUSTRALIA AV." "26:05:10"
233745 "233744-1" "1589" 347.4124336056327 0.5790207226760545 15755098 2 "205463" "1795 LIMA" "19:12:30" 15755099 3 "205375" "167 CARRILLO RAMON DR." "19:12:36"
233745 "233744-1" "1589" 576.4856129437428 0.32026978496874603 15755099 3 "205375" "167 CARRILLO RAMON DR." "19:12:36" 15755100 4 "205377" "387 CARRILLO RAMON DR." "19:12:38"
233745 "233744-1" "1589" 594.037891294777 0.33002105071932053 15755101 5 "205378" "473 CARRILLO RAMON DR." "19:12:38" 15755102 6 "205380" "639 CARRILLO RAMON DR." "19:12:40"
233745 "233744-1" "1589" 387.52721920865787 0.21529289956036549 15755102 6 "205380" "639 CARRILLO RAMON DR." "19:12:40" 15755103 7 "205382" "889 PINEDO AV." "19:12:42"
233745 "233744-1" "1589" 342.003811768508 0.1900021176491711 15755104 8 "205545" "2382 AUSTRALIA AV." "19:17:36" 15755105 9 "205541" "2566 AUSTRALIA AV." "19:17:38"
233745 "233744-1" "1589" 182.19390925732333 0.10121883847629073 15755106 10 "2031433" "2708 AUSTRALIA AV." "19:17:38" 15755107 11 "205538" "2785 AUSTRALIA AV." "19:17:40"
126838 "126837-1" "1475" 164.87871151633405 0.09159928417574113 8556779 54 "6408123196" "ALBENIZ 3299-3399" "14:30:22" 8556780 55 "6408112928" "GENERAL CONRADO VILLEGAS 2437" "14:30:24"
126838 "126837-1" "1475" 179.04566381377285 0.0994698132298738 8556781 56 "6408114431" "EVA PERÓN 3100-3198" "14:30:30" 8556782 57 "6408114231" "EVA PERÓN 3050-3098" "14:30:32"
129012 "129011-1" "1589" 521.1186504084491 0.5790207226760545 8686564 2 "205463" "1795 LIMA" "01:24:00" 8686565 3 "205375" "167 CARRILLO RAMON DR." "01:24:04"
18492 "18491-1" "1589" 521.1186504084491 0.5790207226760545 1281010 2 "205463" "1795 LIMA" "01:24:00" 1281011 3 "205375" "167 CARRILLO RAMON DR." "01:24:04"
368601 "368600-1" "1589" 521.1186504084491 0.5790207226760545 24732957 2 "205463" "1795 LIMA" "01:24:00" 24732958 3 "205375" "167 CARRILLO RAMON DR." "01:24:04"
129012 "129011-1" "1589" 576.4856129437428 0.32026978496874603 8686565 3 "205375" "167 CARRILLO RAMON DR." "01:24:04" 8686566 4 "205377" "387 CARRILLO RAMON DR." "01:24:06"
18492 "18491-1" "1589" 576.4856129437428 0.32026978496874603 1281011 3 "205375" "167 CARRILLO RAMON DR." "01:24:04" 1281012 4 "205377" "387 CARRILLO RAMON DR." "01:24:06"
368601 "368600-1" "1589" 576.4856129437428 0.32026978496874603 24732958 3 "205375" "167 CARRILLO RAMON DR." "01:24:04" 24732959 4 "205377" "387 CARRILLO RAMON DR." "01:24:06"
129012 "129011-1" "1589" 594.037891294777 0.33002105071932053 8686567 5 "205378" "473 CARRILLO RAMON DR." "01:24:06" 8686568 6 "205380" "639 CARRILLO RAMON DR." "01:24:08"
18492 "18491-1" "1589" 594.037891294777 0.33002105071932053 1281013 5 "205378" "473 CARRILLO RAMON DR." "01:24:06" 1281014 6 "205380" "639 CARRILLO RAMON DR." "01:24:08"
368601 "368600-1" "1589" 594.037891294777 0.33002105071932053 24732960 5 "205378" "473 CARRILLO RAMON DR." "01:24:06" 24732961 6 "205380" "639 CARRILLO RAMON DR." "01:24:08"
129012 "129011-1" "1589" 387.52721920865787 0.21529289956036549 8686568 6 "205380" "639 CARRILLO RAMON DR." "01:24:08" 8686569 7 "205382" "889 PINEDO AV." "01:24:10"
18492 "18491-1" "1589" 387.52721920865787 0.21529289956036549 1281014 6 "205380" "639 CARRILLO RAMON DR." "01:24:08" 1281015 7 "205382" "889 PINEDO AV." "01:24:10"
368601 "368600-1" "1589" 387.52721920865787 0.21529289956036549 24732961 6 "205380" "639 CARRILLO RAMON DR." "01:24:08" 24732962 7 "205382" "889 PINEDO AV." "01:24:10"
129012 "129011-1" "1589" 342.003811768508 0.1900021176491711 8686570 8 "205545" "2382 AUSTRALIA AV." "01:28:28" 8686571 9 "205541" "2566 AUSTRALIA AV." "01:28:30"
18492 "18491-1" "1589" 342.003811768508 0.1900021176491711 1281016 8 "205545" "2382 AUSTRALIA AV." "01:28:28" 1281017 9 "205541" "2566 AUSTRALIA AV." "01:28:30"
leading_or_trailing_whitespaces WARNING 10489

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

Only the first 50 of 10489 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"agency.txt" 61 "agency_name" "TRANSPORTES LA PERLITA S.A. "
"agency.txt" 124 "agency_name" "EMRESA MONTERREY S.R.L. "
"routes.txt" 15 "route_desc" "Frias y Montaña Avellaneda - Virrey del Pino y Las Flores Avellaneda "
"routes.txt" 16 "route_desc" "Molinedo y Entre Rios Avellaneda - Guemes y Eva Peron Avellaneda "
"routes.txt" 131 "route_desc" "Ramal 19 "
"routes.txt" 188 "route_desc" "Aduana - Las Heras y Av. Eva Peron "
"routes.txt" 189 "route_desc" "Central Costanera SA - Las Heras y Av. E. Peron "
"routes.txt" 193 "route_desc" "Av. Piedrabuena y Saraza - Pto. Nuevo "
"routes.txt" 195 "route_desc" "Retiro - Nueva Pompeya x Av. Brasil "
"routes.txt" 196 "route_desc" "Retiro - Nueva Pompeya x Av. Caseros "
"routes.txt" 197 "route_desc" "Retiro - Villa Soldati x Av. Brasil "
"routes.txt" 198 "route_desc" "Retiro - Villa Soldati x Av. Caseros "
"routes.txt" 199 "route_desc" "Retiro - Bº Samoré "
"routes.txt" 200 "route_desc" "Retiro - Pque. Nicolas Avellaneda "
"routes.txt" 201 "route_desc" "Av. Paseo Colón y Cochabamba x Autop. - Est. Liniers "
"routes.txt" 202 "route_desc" "La Boca - Aerop. Ezeiza "
"routes.txt" 203 "route_desc" "La Boca - Liniers "
"routes.txt" 204 "route_desc" "La Boca - Mercado Central "
"routes.txt" 205 "route_desc" "Retiro x Cnel. Castro - Villa Caraza "
"routes.txt" 206 "route_desc" "Retiro x José María Moreno - Villa Caraza "
"routes.txt" 211 "route_desc" "Valentín Alsina - Colectora Panamericana y RP 23 "
"routes.txt" 212 "route_desc" "Valentín Alsina - Colectora Panamericana y RP 23 "
"routes.txt" 213 "route_desc" "Valentín Alsina - Av. Del Libertador y Pico "
"routes.txt" 214 "route_desc" "Valentín Alsina - Bcas. de Belgrano "
"routes.txt" 215 "route_desc" "Valentín Alsina - Bº 1° de Mayo "
"routes.txt" 216 "route_desc" "Valentín Alsina - Est. Benavídez "
"routes.txt" 217 "route_desc" "Valentín Alsina - Est. Benavídez x Htal. Naval "
"routes.txt" 218 "route_desc" "Valentín Alsina - Est. Benavídez x Htal. Naval "
"routes.txt" 219 "route_desc" "Valentín Alsina - Est. Gral. Pacheco "
"routes.txt" 220 "route_desc" "Valentín Alsina - Est. Gral. Pacheco "
"routes.txt" 224 "route_desc" "Retiro - Universidad Lomas de Zamora x 9 de Julio "
"routes.txt" 225 "route_desc" "Retiro - Universidad Lomas de Zamora x Iparaguirre "
"routes.txt" 226 "route_desc" "Ejercito de los Andres - Au. Ing. Pascual Palazzo y Av. B. Márquez "
"routes.txt" 227 "route_desc" "Ejercito de los Andres - Fca. Ford "
"routes.txt" 228 "route_desc" "Ejercito de los Andres - Fca. Ford Tigre "
"routes.txt" 229 "route_desc" "Ejercito de los Andres - Pte. Saavedra "
"routes.txt" 230 "route_desc" "Ejercito de los Andres - Pte. Saavedra "
"routes.txt" 231 "route_desc" "Ejercito de los Andres - Rotonda Dardo Rocha Tigre "
"routes.txt" 232 "route_desc" "Est. Liniers - Au. Ing. Pascual Palazzo e Hipólito yrigoyen "
"routes.txt" 233 "route_desc" "Est. Liniers - Cement. de Olivos "
"routes.txt" 234 "route_desc" "Est. Liniers - Est. Florida "
"routes.txt" 236 "route_desc" "Est. Liniers - Pte. Saavedra "
"routes.txt" 237 "route_desc" "Retiro - Cno. Centenario y Lavalleja "
"routes.txt" 238 "route_desc" "Retiro - Est. Quilmes "
"routes.txt" 239 "route_desc" "Villa Soldati - Pto. Nuevo "
"routes.txt" 240 "route_desc" "Est. Villa del Pque. - Cement. Avellaneda x Cement. "
"routes.txt" 241 "route_desc" "Est. Villa del Pque. - Cement. Avellaneda x Wilde "
"routes.txt" 242 "route_desc" "Villa del Pque. - A. del Valle y Patricios "
"routes.txt" 243 "route_desc" "PI y Margall y Av. Alte Brown - Av. Senador Benito Ferro y Gral. Las Heras "
"routes.txt" 247 "route_desc" "Pte. Alsina - Bº J. Hernández "
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"
mixed_case_recommended_field WARNING 137003

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 137003 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.
"agency.txt" "agency_name" "MICROOMNIBUS SAAVEDRA S.A.T.A.C.I." 2
"agency.txt" "agency_name" "TRANSP. AUTOMOTORES 12 DE OCTUBRE S.A.C." 3
"agency.txt" "agency_name" "EMPRESA TANDILENSE S.A.C.I.F.I.Y DE S." 4
"agency.txt" "agency_name" "EL NUEVO HALCON S.A." 5
"agency.txt" "agency_name" "MICRO OMNIBUS QUILMES S.A.C.I. Y F." 6
"agency.txt" "agency_name" "D.O.T.A. S.A. DE TRANSPORTE AUTOMOTOR" 7
"agency.txt" "agency_name" "TRANSPORTES RIO GRANDE S.A.C.I.F." 9
"agency.txt" "agency_name" "TRANSPORTES AUTOMOTORES CALLAO S.A." 10
"agency.txt" "agency_name" "TRANSPORTES AUTOMOTORES RIACHUELO S.A." 11
"agency.txt" "agency_name" "M.O.D.O. S.A. DE TRANSPORTE AUTOMOTOR" 12
"agency.txt" "agency_name" "LA NUEVA METROPOL S.A." 13
"agency.txt" "agency_name" "TRANSPORTES LOPE DE VEGA S.A.C.I." 14
"agency.txt" "agency_name" "GENERAL TOMAS GUIDO S.A.C.I.F." 15
"agency.txt" "agency_name" "NUEVOS RUMBOS S.A.T.A.C.I.F.I." 16
"agency.txt" "agency_name" "17 DE AGOSTO S.A." 17
"agency.txt" "agency_name" "TRANSPORTES COLEGIALES S.A.C.I." 18
"agency.txt" "agency_name" "EMPRESA DE TRANSP. TTE. GRAL. ROCA S.A" 19
"agency.txt" "agency_name" "GENERAL PUEYRREDON S.A.T.C.I." 22
"agency.txt" "agency_name" "TRANSPORTE LARRAZABAL C.I.S.A." 23
"agency.txt" "agency_name" "LOS CONSTITUYENTES S.A.T." 24
"agency.txt" "agency_name" "COLECTIVEROS UNIDOS S.A." 28
"agency.txt" "agency_name" "BERNARDINO RIVADAVIA S.A.T.A." 29
"agency.txt" "agency_name" "EL PUENTE S.A.T." 30
"agency.txt" "agency_name" "TRANSPORTES AVENIDA BERNARDO ADER S.A." 31
"agency.txt" "agency_name" "TRANSPORTE ESCALADA S.A.T." 32
"agency.txt" "agency_name" "TRANSPORTES SAN CAYETANO S.A.C." 33
"agency.txt" "agency_name" "EMP.TRANSP.AUTOM.DE PASAJEROS S.A.C.I.F." 34
"agency.txt" "agency_name" "JUAN B. JUSTO S.A.T.C.I." 35
"agency.txt" "agency_name" "TTES.AUTOMOTORES DE PASAJEROS SIGLO XXI SA" 36
"agency.txt" "agency_name" "TRANSPORTES SESENTA Y OCHO S.R.L." 37
"agency.txt" "agency_name" "EMPRESA LINEA 216 S.A.T." 38
"agency.txt" "agency_name" "BUENOS AIRES BUS SOCIEDAD ANONIMA" 39
"agency.txt" "agency_name" "SOCIEDAD ANONIMA EXPRESO SUDOESTE" 40
"agency.txt" "agency_name" "TRANSPORTE IDEAL SAN JUSTO S.A." 41
"agency.txt" "agency_name" "EXPRESO QUILMES S.A." 42
"agency.txt" "agency_name" "LA CABAÑA S.A." 43
"agency.txt" "agency_name" "SARGENTO CABRAL S.A.DE TRANSPORTE" 44
"agency.txt" "agency_name" "MICROOMNIBUS CUARENTA Y CINCO S.A.C.I.F." 45
"agency.txt" "agency_name" "MICROOMNIBUS CIUDAD DE BS.AS. S.A.T.C.I" 46
"agency.txt" "agency_name" "TRANSPORTES ALMIRANTE BROWN S.A." 48
"agency.txt" "agency_name" "EMPRESA TRANSPORTE TRATADO DEL PILAR S.R.L." 49
"agency.txt" "agency_name" "EMPRESA DE TRANSPORTES EL LITORAL S.A." 50
"agency.txt" "agency_name" "EXPRESO NUEVE DE JULIO S.A." 51
"agency.txt" "agency_name" "EXPRESO PARQUE EL LUCERO S.A. DE TRANSPORTES" 52
"agency.txt" "agency_name" "LIBERTADOR SAN MARTIN SAT" 53
"agency.txt" "agency_name" "LINEA SESENTA SA" 54
"agency.txt" "agency_name" "MICRO OMNIBUS GENERAL SAN MARTIN SAC" 55
"agency.txt" "agency_name" "MICRO OMNIBUS GRAL PACHECO SRL" 56
"agency.txt" "agency_name" "MICRO OMNIBUS O´HIGGINS S.A.T." 57
"agency.txt" "agency_name" "MICRO OMNIBUS TIGRE S.A." 58
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.
"20260404" "20190928" "20191231"
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.
"trips.txt" "exceptional" 9