GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T22:30:08Z,
for the dataset file:///shared/miami-dade.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:
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Feed Language:
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Files included


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

Counts


  • Agencies: 0
  • Blocks: 2516
  • Routes: 129
  • Shapes: 299
  • Stops: 6530
  • Trips: 24529

Specification Compliance report

33930 notices reported (19 errors, 33911 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 19

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.
"200985" 3963 0.5324 3 3962 0.5324 2 539.37503839652
"200983" 3322 0.043 3 3321 0.043 2 42.649144262387125
"201055" 6689 0.0219 3 6688 0.0219 2 21.588255873643035
"208147" 66816 0.0812 3 66815 0.0812 2 80.39155138195684
"208148" 67501 0.0812 3 67500 0.0812 2 80.39155138195684
"208149" 67811 0.0261 3 67810 0.0261 2 25.861562324088787
"208029" 20151 0.0991 3 20150 0.0991 2 100.54908274208597
"208150" 68541 0.0261 3 68540 0.0261 2 25.861562324088787
"208038" 23727 28.8015 495 23726 28.8015 494 19.146132372897014
"208054" 29828 0.0241 3 29827 0.0241 2 23.7016739986661
"208057" 31570 0.0991 3 31569 0.0991 2 100.54908274208597
"208082" 42614 0.1111 3 42613 0.1111 2 112.21948511147063
"201113" 12369 0.0432 3 12368 0.0432 2 42.822378458802945
"208214" 92140 0.133 3 92139 0.133 2 131.13499699815753
"208221" 93926 0.0638 3 93925 0.0638 2 63.76631049477092
"208222" 94197 0.024 3 94196 0.024 2 24.28689907646901
"208223" 94909 0.0561 3 94908 0.0561 2 57.65787106988627
"208104" 50751 0.0762 3 50750 0.0762 2 76.34708195376675
"208225" 95960 0.1292 3 95959 0.1292 2 127.80982180473627
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 5899

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.

Only the first 50 of 5899 affected records are displayed below.

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.
"208230" 97077 7.5022 55 97076 7.5022 54 0.10036124556401523
"208230" 97085 10.0238 63 97084 10.0238 62 0.1497793573071443
"208230" 97129 18.4706 107 97128 18.4706 106 0.1497474110052713
"208230" 97239 30.4931 217 97238 30.4931 216 0.10021733351098674
"208110" 52705 0.2479 7 52704 0.2479 6 0.1002997704768037
"208110" 52707 0.2607 9 52706 0.2607 8 0.11119510161714974
"208110" 52717 0.9894 19 52716 0.9894 18 0.11119510126348764
"208110" 52724 1.1734 26 52723 1.1734 25 0.10030357806380258
"208110" 52737 2.181 39 52736 2.181 38 0.1003027265318838
"208110" 52776 3.6658 78 52775 3.6658 77 0.10030804742277065
"208110" 52797 4.1973 99 52796 4.1973 98 0.20061980949896746
"208110" 52800 4.3554 102 52799 4.3554 101 0.22937661573824775
"208110" 52825 5.1 127 52824 5.1 126 0.10031346759826915
"208110" 52831 5.2494 133 52830 5.2494 132 0.10031331225574801
"208110" 52852 6.2046 154 52851 6.2046 153 0.37418935465228803
"208110" 52855 6.2194 157 52854 6.2194 156 0.1003107231171041
"208110" 52858 6.2525 160 52857 6.2525 159 0.11119510126348764
"208110" 52873 8.2899 175 52872 8.2899 174 0.11119510126348764
"208110" 52878 8.4949 180 52877 8.4949 179 0.11119510126348764
"208110" 52882 8.634 184 52881 8.634 183 0.11119510126348764
"208110" 52938 15.1346 240 52937 15.1346 239 0.11119510126348764
"208110" 52953 15.8157 255 52952 15.8157 254 0.11119510126348764
"208110" 52973 17.0358 275 52972 17.0358 274 0.11119510126348764
"208110" 52976 17.2578 278 52975 17.2578 277 0.1003574120495212
"208110" 52980 17.3949 282 52979 17.3949 281 0.11119510126348764
"208110" 52987 17.6619 289 52986 17.6619 288 0.1003604893153515
"208110" 52989 17.7609 291 52988 17.7609 290 0.10036124885935707
"208110" 52991 17.8709 293 52990 17.8709 292 0.11119510126348764
"208110" 52994 18.037 296 52993 18.037 295 0.10036334770989075
"208110" 53003 18.6532 305 53002 18.6532 304 0.11119510126348764
"208110" 53025 20.298 327 53024 20.298 326 0.10035908630681302
"208110" 53027 20.3961 329 53026 20.3961 328 0.7486082364708515
"208110" 53035 21.0632 337 53034 21.0632 336 0.10035759339754455
"208110" 53060 23.6491 362 53059 23.6491 361 0.11119510126348764
"208110" 53105 26.831 407 53104 26.831 406 0.14980297386408134
"208110" 53131 29.0671 433 53130 29.0671 432 0.11119510126348764
"208110" 53142 30.0003 444 53141 30.0003 443 0.6746825022459099
"208110" 53144 30.1313 446 53143 30.1313 445 0.11119510126348764
"208231" 97297 1.3055 23 97296 1.3055 22 0.10012538156126342
"208231" 97313 1.7487 39 97312 1.7487 38 0.14962939740785175
"208231" 97316 1.7729 42 97315 1.7729 41 0.11119510126348764
"208231" 97321 2.0208 47 97320 2.0208 46 0.11119510126348764
"208231" 97332 2.5425 58 97331 2.5425 57 0.14963337733860915
"208231" 97380 3.8471 106 97379 3.8471 105 0.14963154846606624
"208231" 97385 3.9204 111 97384 3.9204 110 0.14963158092479167
"208231" 97388 3.9416 114 97387 3.9416 113 0.10012624172800003
"208231" 97395 4.1092 121 97394 4.1092 120 0.11119510090982554
"208231" 97401 4.5235 127 97400 4.5235 126 0.11119510126348764
"208231" 97410 4.8186 136 97409 4.8186 135 0.14963352104535826
"208231" 97413 4.9058 139 97412 4.9058 138 0.11119510126348764
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 "19"
3 "18"
4 "21"
fast_travel_between_consecutive_stops WARNING 173

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 173 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.
8965 "5677466" "23896" 819.7548796918685 12.296323195378028 103408 56 "10660" "W OKEECHOBEE RD@#12963" "15:20:55" 103409 57 "10661" "NW87 Ave@NW13Ter" "15:21:49"
8965 "5677466" "23896" 248.35001665254578 13.17634810573229 103409 57 "10661" "NW87 Ave@NW13Ter" "15:21:49" 103410 58 "10662" "NW 138 ST@#10990" "15:25:00"
8961 "5677462" "23896" 790.4779197028731 12.296323195378028 103176 56 "10660" "W OKEECHOBEE RD@#12963" "12:40:39" 103177 57 "10661" "NW87 Ave@NW13Ter" "12:41:35"
8961 "5677462" "23896" 231.3895277104207 13.17634810573229 103177 57 "10661" "NW87 Ave@NW13Ter" "12:41:35" 103178 58 "10662" "NW 138 ST@#10990" "12:45:00"
8854 "5674157" "23894" 171.71144750180014 0.3338833701423891 99629 2 "10880" "NW 74TH ST @ NW 97TH AVE" "13:30:06" 99630 3 "11488" "NW 74TH ST @ NW 89 PL" "13:30:13"
8844 "5674147" "23894" 150.2475165640751 0.3338833701423891 98989 2 "10880" "NW 74TH ST @ NW 97TH AVE" "07:20:33" 98990 3 "11488" "NW 74TH ST @ NW 89 PL" "07:20:41"
8962 "5677463" "23896" 819.7548796918685 12.296323195378028 103234 56 "10660" "W OKEECHOBEE RD@#12963" "13:20:55" 103235 57 "10661" "NW87 Ave@NW13Ter" "13:21:49"
8962 "5677463" "23896" 248.35001665254578 13.17634810573229 103235 57 "10661" "NW87 Ave@NW13Ter" "13:21:49" 103236 58 "10662" "NW 138 ST@#10990" "13:25:00"
8848 "5674151" "23894" 150.2475165640751 0.3338833701423891 99053 2 "10880" "NW 74TH ST @ NW 97TH AVE" "10:01:33" 99054 3 "11488" "NW 74TH ST @ NW 89 PL" "10:01:41"
8850 "5674153" "23894" 171.71144750180014 0.3338833701423891 99085 2 "10880" "NW 74TH ST @ NW 97TH AVE" "11:14:06" 99086 3 "11488" "NW 74TH ST @ NW 89 PL" "11:14:13"
8507 "5677773" "23889" 1183.513904316209 52.60061796960929 87707 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 87708 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
6705 "5677763" "23889" 1183.513904316209 52.60061796960929 39844 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 39845 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
7242 "5677767" "23889" 1183.513904316209 52.60061796960929 53542 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 53543 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
8507 "5677773" "23889" 3741.6480426741373 51.96733392602969 87708 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35" 87709 24 "10798" "BAL BRIDGE NORTH" "10:41:25"
6705 "5677763" "23889" 3741.6480426741373 51.96733392602969 39845 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35" 39846 24 "10798" "BAL BRIDGE NORTH" "10:41:25"
7242 "5677767" "23889" 3741.6480426741373 51.96733392602969 53543 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35" 53544 24 "10798" "BAL BRIDGE NORTH" "10:41:25"
7238 "5735348" "23888" 906.2733562321847 51.355490186490464 54473 41 "10777" "HIDDEN BAY" "18:28:08" 54474 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32"
8505 "5735362" "23888" 906.2733562321847 51.355490186490464 88619 41 "10777" "HIDDEN BAY" "18:28:08" 88620 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32"
7238 "5735348" "23888" 7127.717900969899 51.47796261811594 54474 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32" 54475 43 "1378" "W COUNTRY CLUB DR & # 19501" "18:31:58"
8505 "5735362" "23888" 7127.717900969899 51.47796261811594 88620 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32" 88621 43 "1378" "W COUNTRY CLUB DR & # 19501" "18:31:58"
8865 "5674168" "23894" 171.71144750180014 0.3338833701423891 99805 2 "10880" "NW 74TH ST @ NW 97TH AVE" "20:04:06" 99806 3 "11488" "NW 74TH ST @ NW 89 PL" "20:04:13"
6732 "5677591" "23896" 941.8460319864021 12.296323195378028 40586 56 "10660" "W OKEECHOBEE RD@#12963" "13:44:21" 40587 57 "10661" "NW87 Ave@NW13Ter" "13:45:08"
7489 "5677583" "23896" 941.8460319864021 12.296323195378028 61489 56 "10660" "W OKEECHOBEE RD@#12963" "13:44:21" 61490 57 "10661" "NW87 Ave@NW13Ter" "13:45:08"
6732 "5677591" "23896" 275.7840301199782 13.17634810573229 40587 57 "10661" "NW87 Ave@NW13Ter" "13:45:08" 40588 58 "10662" "NW 138 ST@#10990" "13:48:00"
7489 "5677583" "23896" 275.7840301199782 13.17634810573229 61490 57 "10661" "NW87 Ave@NW13Ter" "13:45:08" 61491 58 "10662" "NW 138 ST@#10990" "13:48:00"
7240 "5735350" "23888" 906.2733562321847 51.355490186490464 54567 41 "10777" "HIDDEN BAY" "20:28:08" 54568 42 "10778" "SW 112 AV @ SW 242 ST" "20:31:32"
7240 "5735350" "23888" 7127.717900969899 51.47796261811594 54568 42 "10778" "SW 112 AV @ SW 242 ST" "20:31:32" 54569 43 "1378" "W COUNTRY CLUB DR & # 19501" "20:31:58"
7236 "5735346" "23888" 906.2733562321847 51.355490186490464 54379 41 "10777" "HIDDEN BAY" "16:28:08" 54380 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32"
8503 "5735360" "23888" 906.2733562321847 51.355490186490464 88525 41 "10777" "HIDDEN BAY" "16:28:08" 88526 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32"
7236 "5735346" "23888" 7127.717900969899 51.47796261811594 54380 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32" 54381 43 "1378" "W COUNTRY CLUB DR & # 19501" "16:31:58"
8503 "5735360" "23888" 7127.717900969899 51.47796261811594 88526 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32" 88527 43 "1378" "W COUNTRY CLUB DR & # 19501" "16:31:58"
8851 "5674154" "23894" 171.71144750180014 0.3338833701423891 99101 2 "10880" "NW 74TH ST @ NW 97TH AVE" "11:48:06" 99102 3 "11488" "NW 74TH ST @ NW 89 PL" "11:48:13"
7230 "5735339" "23888" 906.2733562321847 51.355490186490464 52692 41 "10777" "HIDDEN BAY" "09:28:08" 52693 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32"
8497 "5735354" "23888" 906.2733562321847 51.355490186490464 88243 41 "10777" "HIDDEN BAY" "09:28:08" 88244 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32"
7230 "5735339" "23888" 7127.717900969899 51.47796261811594 52693 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32" 52694 43 "1378" "W COUNTRY CLUB DR & # 19501" "09:31:58"
8497 "5735354" "23888" 7127.717900969899 51.47796261811594 88244 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32" 88245 43 "1378" "W COUNTRY CLUB DR & # 19501" "09:31:58"
8960 "5677461" "23896" 819.7548796918685 12.296323195378028 103118 56 "10660" "W OKEECHOBEE RD@#12963" "11:50:55" 103119 57 "10661" "NW87 Ave@NW13Ter" "11:51:49"
8960 "5677461" "23896" 248.35001665254578 13.17634810573229 103119 57 "10661" "NW87 Ave@NW13Ter" "11:51:49" 103120 58 "10662" "NW 138 ST@#10990" "11:55:00"
8864 "5674167" "23894" 171.71144750180014 0.3338833701423891 99789 2 "10880" "NW 74TH ST @ NW 97TH AVE" "19:32:06" 99790 3 "11488" "NW 74TH ST @ NW 89 PL" "19:32:13"
8973 "5677474" "23896" 903.4033368032837 12.296323195378028 104592 56 "10660" "W OKEECHOBEE RD@#12963" "20:41:14" 104593 57 "10661" "NW87 Ave@NW13Ter" "20:42:03"
8973 "5677474" "23896" 267.993520794555 13.17634810573229 104593 57 "10661" "NW87 Ave@NW13Ter" "20:42:03" 104594 58 "10662" "NW 138 ST@#10990" "20:45:00"
8845 "5674148" "23894" 150.2475165640751 0.3338833701423891 99005 2 "10880" "NW 74TH ST @ NW 97TH AVE" "08:00:33" 99006 3 "11488" "NW 74TH ST @ NW 89 PL" "08:00:41"
8846 "5674149" "23894" 150.2475165640751 0.3338833701423891 99021 2 "10880" "NW 74TH ST @ NW 97TH AVE" "08:41:33" 99022 3 "11488" "NW 74TH ST @ NW 89 PL" "08:41:41"
8956 "5677457" "23896" 867.9757549678607 12.296323195378028 102886 56 "10660" "W OKEECHOBEE RD@#12963" "09:11:13" 102887 57 "10661" "NW87 Ave@NW13Ter" "09:12:04"
8956 "5677457" "23896" 269.51621125361504 13.17634810573229 102887 57 "10661" "NW87 Ave@NW13Ter" "09:12:04" 102888 58 "10662" "NW 138 ST@#10990" "09:15:00"
8856 "5674159" "23894" 171.71144750180014 0.3338833701423891 99661 2 "10880" "NW 74TH ST @ NW 97TH AVE" "14:40:28" 99662 3 "11488" "NW 74TH ST @ NW 89 PL" "14:40:35"
7247 "5677772" "23889" 1183.513904316209 52.60061796960929 53717 22 "5384" "COLLINS AV & HAULOVER MARINA" "20:37:55" 53718 23 "10797" "SW 132 AV @ SW 284 ST" "20:40:35"
7247 "5677772" "23889" 3741.6480426741373 51.96733392602969 53718 23 "10797" "SW 132 AV @ SW 284 ST" "20:40:35" 53719 24 "10798" "BAL BRIDGE NORTH" "20:41:25"
7233 "5735342" "23888" 906.2733562321847 51.355490186490464 54238 41 "10777" "HIDDEN BAY" "12:28:08" 54239 42 "10778" "SW 112 AV @ SW 242 ST" "12:31:32"
8500 "5735357" "23888" 906.2733562321847 51.355490186490464 88384 41 "10777" "HIDDEN BAY" "12:28:08" 88385 42 "10778" "SW 112 AV @ SW 242 ST" "12:31:32"
fast_travel_between_far_stops WARNING 68

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

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

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

You can see more about this notice here.

Only the first 50 of 68 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.
8965 "5677466" "23896" 819.7548796918685 12.296323195378028 103408 56 "10660" "W OKEECHOBEE RD@#12963" "15:20:55" 103409 57 "10661" "NW87 Ave@NW13Ter" "15:21:49"
8961 "5677462" "23896" 790.4779197028731 12.296323195378028 103176 56 "10660" "W OKEECHOBEE RD@#12963" "12:40:39" 103177 57 "10661" "NW87 Ave@NW13Ter" "12:41:35"
8962 "5677463" "23896" 819.7548796918685 12.296323195378028 103234 56 "10660" "W OKEECHOBEE RD@#12963" "13:20:55" 103235 57 "10661" "NW87 Ave@NW13Ter" "13:21:49"
8507 "5677773" "23889" 1183.513904316209 52.60061796960929 87707 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 87708 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
6705 "5677763" "23889" 1183.513904316209 52.60061796960929 39844 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 39845 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
7242 "5677767" "23889" 1183.513904316209 52.60061796960929 53542 22 "5384" "COLLINS AV & HAULOVER MARINA" "10:37:55" 53543 23 "10797" "SW 132 AV @ SW 284 ST" "10:40:35"
7238 "5735348" "23888" 906.2733562321847 51.355490186490464 54473 41 "10777" "HIDDEN BAY" "18:28:08" 54474 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32"
8505 "5735362" "23888" 906.2733562321847 51.355490186490464 88619 41 "10777" "HIDDEN BAY" "18:28:08" 88620 42 "10778" "SW 112 AV @ SW 242 ST" "18:31:32"
6732 "5677591" "23896" 941.8460319864021 12.296323195378028 40586 56 "10660" "W OKEECHOBEE RD@#12963" "13:44:21" 40587 57 "10661" "NW87 Ave@NW13Ter" "13:45:08"
7489 "5677583" "23896" 941.8460319864021 12.296323195378028 61489 56 "10660" "W OKEECHOBEE RD@#12963" "13:44:21" 61490 57 "10661" "NW87 Ave@NW13Ter" "13:45:08"
7240 "5735350" "23888" 906.2733562321847 51.355490186490464 54567 41 "10777" "HIDDEN BAY" "20:28:08" 54568 42 "10778" "SW 112 AV @ SW 242 ST" "20:31:32"
7236 "5735346" "23888" 906.2733562321847 51.355490186490464 54379 41 "10777" "HIDDEN BAY" "16:28:08" 54380 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32"
8503 "5735360" "23888" 906.2733562321847 51.355490186490464 88525 41 "10777" "HIDDEN BAY" "16:28:08" 88526 42 "10778" "SW 112 AV @ SW 242 ST" "16:31:32"
7230 "5735339" "23888" 906.2733562321847 51.355490186490464 52692 41 "10777" "HIDDEN BAY" "09:28:08" 52693 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32"
8497 "5735354" "23888" 906.2733562321847 51.355490186490464 88243 41 "10777" "HIDDEN BAY" "09:28:08" 88244 42 "10778" "SW 112 AV @ SW 242 ST" "09:31:32"
8960 "5677461" "23896" 819.7548796918685 12.296323195378028 103118 56 "10660" "W OKEECHOBEE RD@#12963" "11:50:55" 103119 57 "10661" "NW87 Ave@NW13Ter" "11:51:49"
8973 "5677474" "23896" 903.4033368032837 12.296323195378028 104592 56 "10660" "W OKEECHOBEE RD@#12963" "20:41:14" 104593 57 "10661" "NW87 Ave@NW13Ter" "20:42:03"
8956 "5677457" "23896" 867.9757549678607 12.296323195378028 102886 56 "10660" "W OKEECHOBEE RD@#12963" "09:11:13" 102887 57 "10661" "NW87 Ave@NW13Ter" "09:12:04"
7247 "5677772" "23889" 1183.513904316209 52.60061796960929 53717 22 "5384" "COLLINS AV & HAULOVER MARINA" "20:37:55" 53718 23 "10797" "SW 132 AV @ SW 284 ST" "20:40:35"
7233 "5735342" "23888" 906.2733562321847 51.355490186490464 54238 41 "10777" "HIDDEN BAY" "12:28:08" 54239 42 "10778" "SW 112 AV @ SW 242 ST" "12:31:32"
8500 "5735357" "23888" 906.2733562321847 51.355490186490464 88384 41 "10777" "HIDDEN BAY" "12:28:08" 88385 42 "10778" "SW 112 AV @ SW 242 ST" "12:31:32"
8508 "5677774" "23889" 1183.513904316209 52.60061796960929 87742 22 "5384" "COLLINS AV & HAULOVER MARINA" "12:37:55" 87743 23 "10797" "SW 132 AV @ SW 284 ST" "12:40:35"
6706 "5677764" "23889" 1183.513904316209 52.60061796960929 39879 22 "5384" "COLLINS AV & HAULOVER MARINA" "12:37:55" 39880 23 "10797" "SW 132 AV @ SW 284 ST" "12:40:35"
7243 "5677768" "23889" 1183.513904316209 52.60061796960929 53577 22 "5384" "COLLINS AV & HAULOVER MARINA" "12:37:55" 53578 23 "10797" "SW 132 AV @ SW 284 ST" "12:40:35"
8495 "5735364" "23888" 906.2733562321847 51.355490186490464 88713 41 "10777" "HIDDEN BAY" "07:28:08" 88714 42 "10778" "SW 112 AV @ SW 242 ST" "07:31:32"
7228 "5735365" "23888" 906.2733562321847 51.355490186490464 52786 41 "10777" "HIDDEN BAY" "07:28:08" 52787 42 "10778" "SW 112 AV @ SW 242 ST" "07:31:32"
7235 "5735345" "23888" 906.2733562321847 51.355490186490464 54332 41 "10777" "HIDDEN BAY" "15:28:08" 54333 42 "10778" "SW 112 AV @ SW 242 ST" "15:31:32"
8502 "5735359" "23888" 906.2733562321847 51.355490186490464 88478 41 "10777" "HIDDEN BAY" "15:28:08" 88479 42 "10778" "SW 112 AV @ SW 242 ST" "15:31:32"
7239 "5735349" "23888" 906.2733562321847 51.355490186490464 54520 41 "10777" "HIDDEN BAY" "19:28:08" 54521 42 "10778" "SW 112 AV @ SW 242 ST" "19:31:32"
8506 "5735363" "23888" 906.2733562321847 51.355490186490464 88666 41 "10777" "HIDDEN BAY" "19:28:08" 88667 42 "10778" "SW 112 AV @ SW 242 ST" "19:31:32"
8957 "5677458" "23896" 867.9757549678607 12.296323195378028 102944 56 "10660" "W OKEECHOBEE RD@#12963" "09:51:13" 102945 57 "10661" "NW87 Ave@NW13Ter" "09:52:04"
7246 "5677771" "23889" 1183.513904316209 52.60061796960929 53682 22 "5384" "COLLINS AV & HAULOVER MARINA" "18:37:55" 53683 23 "10797" "SW 132 AV @ SW 284 ST" "18:40:35"
6731 "5677590" "23896" 941.8460319864021 12.296323195378028 40528 56 "10660" "W OKEECHOBEE RD@#12963" "11:57:21" 40529 57 "10661" "NW87 Ave@NW13Ter" "11:58:08"
7488 "5677582" "23896" 941.8460319864021 12.296323195378028 61431 56 "10660" "W OKEECHOBEE RD@#12963" "11:57:21" 61432 57 "10661" "NW87 Ave@NW13Ter" "11:58:08"
8964 "5677465" "23896" 819.7548796918685 12.296323195378028 103350 56 "10660" "W OKEECHOBEE RD@#12963" "14:35:55" 103351 57 "10661" "NW87 Ave@NW13Ter" "14:36:49"
7241 "5735351" "23888" 906.2733562321847 51.355490186490464 54614 41 "10777" "HIDDEN BAY" "21:28:08" 54615 42 "10778" "SW 112 AV @ SW 242 ST" "21:31:32"
6730 "5677589" "23896" 1006.0628068945658 12.296323195378028 40470 56 "10660" "W OKEECHOBEE RD@#12963" "10:21:34" 40471 57 "10661" "NW87 Ave@NW13Ter" "10:22:18"
7487 "5677581" "23896" 1006.0628068945658 12.296323195378028 61373 56 "10660" "W OKEECHOBEE RD@#12963" "10:21:34" 61374 57 "10661" "NW87 Ave@NW13Ter" "10:22:18"
6733 "5677592" "23896" 885.335270067218 12.296323195378028 40644 56 "10660" "W OKEECHOBEE RD@#12963" "15:23:10" 40645 57 "10661" "NW87 Ave@NW13Ter" "15:24:00"
7490 "5677584" "23896" 885.335270067218 12.296323195378028 61547 56 "10660" "W OKEECHOBEE RD@#12963" "15:23:10" 61548 57 "10661" "NW87 Ave@NW13Ter" "15:24:00"
8968 "5677469" "23896" 819.7548796918685 12.296323195378028 103582 56 "10660" "W OKEECHOBEE RD@#12963" "17:25:55" 103583 57 "10661" "NW87 Ave@NW13Ter" "17:26:49"
8958 "5677459" "23896" 819.7548796918685 12.296323195378028 103002 56 "10660" "W OKEECHOBEE RD@#12963" "10:30:55" 103003 57 "10661" "NW87 Ave@NW13Ter" "10:31:49"
8955 "5677456" "23896" 903.4033368032837 12.296323195378028 102828 56 "10660" "W OKEECHOBEE RD@#12963" "08:21:14" 102829 57 "10661" "NW87 Ave@NW13Ter" "08:22:03"
8969 "5677470" "23896" 790.4779197028731 12.296323195378028 103640 56 "10660" "W OKEECHOBEE RD@#12963" "18:15:39" 103641 57 "10661" "NW87 Ave@NW13Ter" "18:16:35"
8972 "5677473" "23896" 903.4033368032837 12.296323195378028 104534 56 "10660" "W OKEECHOBEE RD@#12963" "20:11:14" 104535 57 "10661" "NW87 Ave@NW13Ter" "20:12:03"
8966 "5677467" "23896" 819.7548796918685 12.296323195378028 103466 56 "10660" "W OKEECHOBEE RD@#12963" "16:10:55" 103467 57 "10661" "NW87 Ave@NW13Ter" "16:11:49"
7237 "5735347" "23888" 906.2733562321847 51.355490186490464 54426 41 "10777" "HIDDEN BAY" "17:28:08" 54427 42 "10778" "SW 112 AV @ SW 242 ST" "17:31:32"
8504 "5735361" "23888" 906.2733562321847 51.355490186490464 88572 41 "10777" "HIDDEN BAY" "17:28:08" 88573 42 "10778" "SW 112 AV @ SW 242 ST" "17:31:32"
7232 "5735341" "23888" 906.2733562321847 51.355490186490464 54191 41 "10777" "HIDDEN BAY" "11:28:08" 54192 42 "10778" "SW 112 AV @ SW 242 ST" "11:31:32"
8499 "5735356" "23888" 906.2733562321847 51.355490186490464 88337 41 "10777" "HIDDEN BAY" "11:28:08" 88338 42 "10778" "SW 112 AV @ SW 242 ST" "11:31:32"
missing_recommended_field WARNING 130

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.

Only the first 50 of 130 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_id"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
"routes.txt" 20 "agency_id"
"routes.txt" 21 "agency_id"
"routes.txt" 22 "agency_id"
"routes.txt" 23 "agency_id"
"routes.txt" 24 "agency_id"
"routes.txt" 25 "agency_id"
"routes.txt" 26 "agency_id"
"routes.txt" 27 "agency_id"
"routes.txt" 28 "agency_id"
"routes.txt" 29 "agency_id"
"routes.txt" 30 "agency_id"
"routes.txt" 31 "agency_id"
"routes.txt" 32 "agency_id"
"routes.txt" 33 "agency_id"
"routes.txt" 34 "agency_id"
"routes.txt" 35 "agency_id"
"routes.txt" 36 "agency_id"
"routes.txt" 37 "agency_id"
"routes.txt" 38 "agency_id"
"routes.txt" 39 "agency_id"
"routes.txt" 40 "agency_id"
"routes.txt" 41 "agency_id"
"routes.txt" 42 "agency_id"
"routes.txt" 43 "agency_id"
"routes.txt" 44 "agency_id"
"routes.txt" 45 "agency_id"
"routes.txt" 46 "agency_id"
"routes.txt" 47 "agency_id"
"routes.txt" 48 "agency_id"
"routes.txt" 49 "agency_id"
"routes.txt" 50 "agency_id"
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 26653

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 26653 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.
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 399
"trips.txt" "trip_headsign" "SCHOOL BOARD" 400
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 401
"trips.txt" "trip_headsign" "SCHOOL BOARD" 402
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 403
"trips.txt" "trip_headsign" "SCHOOL BOARD" 404
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 405
"trips.txt" "trip_headsign" "SCHOOL BOARD" 406
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 407
"trips.txt" "trip_headsign" "SCHOOL BOARD" 408
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 409
"trips.txt" "trip_headsign" "SCHOOL BOARD" 410
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 411
"trips.txt" "trip_headsign" "SCHOOL BOARD" 412
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 413
"trips.txt" "trip_headsign" "SCHOOL BOARD" 414
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 415
"trips.txt" "trip_headsign" "SCHOOL BOARD" 416
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 417
"trips.txt" "trip_headsign" "SCHOOL BOARD" 418
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 419
"trips.txt" "trip_headsign" "SCHOOL BOARD" 420
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 421
"trips.txt" "trip_headsign" "SCHOOL BOARD" 422
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 423
"trips.txt" "trip_headsign" "SCHOOL BOARD" 424
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 425
"trips.txt" "trip_headsign" "SCHOOL BOARD" 426
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 427
"trips.txt" "trip_headsign" "SCHOOL BOARD" 428
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 429
"trips.txt" "trip_headsign" "SCHOOL BOARD" 430
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 431
"trips.txt" "trip_headsign" "SCHOOL BOARD" 432
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 433
"trips.txt" "trip_headsign" "SCHOOL BOARD" 434
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 435
"trips.txt" "trip_headsign" "SCHOOL BOARD" 436
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 437
"trips.txt" "trip_headsign" "SCHOOL BOARD" 438
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 439
"trips.txt" "trip_headsign" "SCHOOL BOARD" 440
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 441
"trips.txt" "trip_headsign" "SCHOOL BOARD" 442
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 443
"trips.txt" "trip_headsign" "SCHOOL BOARD" 444
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 445
"trips.txt" "trip_headsign" "SCHOOL BOARD" 446
"trips.txt" "trip_headsign" "FINANCIAL DISTRICT" 447
"trips.txt" "trip_headsign" "SCHOOL BOARD" 448
route_color_contrast WARNING 2

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.
"30418" 22 "#FFFF00" "#FFFFFF"
"30430" 34 "#FFFF00" "#FFFFFF"
stop_too_far_from_shape WARNING 10

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.
18307 "208122" "6093093" 619388 "11350" "NW 176 ST @ NW 58 AV" [25.933002000000002,-80.294365] 191.64615767647462
6730 "201055" "5677589" 40471 "10661" "NW87 Ave@NW13Ter" [25.855832,-80.324392] 7988.872483417718
13482 "208139" "6094442" 348599 "10287" "NW 8 ST & 1 CT" [25.781719999999996,-80.197982] 136.39420723438624
6705 "201084" "5677763" 39845 "10797" "SW 132 AV @ SW 284 ST" [25.885724,-80.131194] 50559.02278634456
7228 "202094" "5735365" 52787 "10778" "SW 112 AV @ SW 242 ST" [25.939895,-80.149444] 49470.76174523141
14863 "208211" "6097975" 419217 "10369" "MILE MARKER 87 TAVRNIER" [25.002647,-80.533457] 5916.21360657394
14840 "208208" "6097969" 419116 "10368" "MILE MARKER 87 TAVRNIER" [25.004627,-80.522027] 6758.043365769147
1590 "123752" "4833183" 12310 "10493" "AIRPORT STATION" [25.795521000000004,-80.25836] 291.15410282185894
1997 "123753" "4833590" 13123 "10493" "AIRPORT STATION" [25.795603,-80.258359] 282.1340387475891
14908 "208219" "6098187" 420300 "9563" "SW 193 AV @ SW 378 ST" [25.418439000204895,-80.50331001314576] 207.82366688850757
stop_too_far_from_shape_using_user_distance WARNING 967

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 967 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.
15284 "208230" "6169652" 429927 "10321" "TRANSITWAY & AVOCADO DR STATION" [25.49233085164173,-80.45422643082816] 152.2879663010208
15284 "208230" "6169652" 429930 "9919" "TRANSITWAY & BAUER DR STATION" [25.522200634754842,-80.42538547462604] 131.58056779517761
15284 "208230" "6169652" 429936 "227" "TRANSITWAY & CARIBBEAN BLVD STATION" [25.58054850282111,-80.36831197415093] 172.62152889654465
15284 "208230" "6169652" 429937 "3814" "TRANSITWAY & MARLIN RD STATION" [25.590354687442215,-80.36017916238993] 155.86679224387765
15284 "208230" "6169652" 429938 "228" "TRANSITWAY & EUREKA DR STATION" [25.59801499116862,-80.35580547074477] 148.40231678174442
15284 "208230" "6169652" 429943 "11" "TRANSITWAY & CORAL REEF DR STATION" [25.628326622752,-80.34169873894142] 120.01941683371666
15284 "208230" "6169652" 429945 "5" "TRANSITWAY & HOWARD DR STATION" [25.644544443778937,-80.33415948831814] 142.11268293344156
15284 "208230" "6169652" 429950 "3824" "TRANSITWAY & SW 104 ST STATION" [25.673254444025822,-80.32081520806187] 146.34848754770707
15373 "208231" "6099150" 432281 "10561" "NW 8 ST & 1 AV" [25.781708234421444,-80.19839637275544] 227.92643105812417
15373 "208231" "6099150" 432282 "10401" "NW 1 AV & NW 5 ST (S/F)" [25.78060633582648,-80.19547114549754] 230.11849226905315
15373 "208231" "6099150" 432283 "1241" "NW 1 AV @ NW 1 ST" [25.77734880301723,-80.19526529870109] 224.64895749236192
15373 "208231" "6099150" 432284 "1340" "SW 1 AVE & SW 1 ST" [25.775556484488643,-80.19544048765322] 229.63544856340687
15373 "208231" "6099150" 432285 "590" "SE 1 ST & 1 AV" [25.773293481937905,-80.19412610113984] 285.80136618469027
12916 "208111" "6092495" 315839 "10323" "BUSWAY & W PALM DR" [25.449205515518553,-80.47958676033147] 105.18528668159657
12916 "208111" "6092495" 315840 "10599" "W Palm Dr @ 3 Ave" [25.447868300001026,-80.47947575000045] 103.24187360825937
12916 "208111" "6092495" 315841 "275" "W PALM DR @ NW 4 AV" [25.447867856062636,-80.48070110542493] 103.53860094158885
12916 "208111" "6092495" 315842 "1897" "W PALM DR @ NW 6 AV" [25.447834894506755,-80.48410425203825] 108.2545063417253
12916 "208111" "6092495" 315843 "1898" "W PALM DR @ NW 6 AV" [25.447760792643045,-80.4854170592632] 103.30072982487033
12916 "208111" "6092495" 315844 "1899" "W PALM DR @ SW 8 Ave" [25.44781962836465,-80.48787200098121] 103.27312492333361
12916 "208111" "6092495" 315845 "1901" "W PALM DR @ SW 187 AV" [25.44779568668641,-80.49210841492872] 102.69218574907228
12916 "208111" "6092495" 315846 "1891" "NW 10 AV (SW 187 AV) @ NW 3 ST" [25.449700197757405,-80.49340872578512] 105.77782335325858
12916 "208111" "6092495" 315847 "1892" "NW 10 AV (SW 187 AV) @ NW 8 ST" [25.455214720000015,-80.49346255999471] 106.30836731037681
12916 "208111" "6092495" 315848 "1893" "NW 10 AV (SW 187 AV) @ NW 12 ST" [25.45814271953144,-80.49348460543234] 105.42810261144447
12916 "208111" "6092495" 315849 "1894" "NW 10 AV (SW 187 AV) @ NW 16 ST" [25.460887448,-80.493492] 106.00301355260862
12916 "208111" "6092495" 315850 "2525" "SW 14 AV @ SW 6 ST" [25.46314967669199,-80.49350584100826] 105.73253962981286
12916 "208111" "6092495" 315851 "2526" "SW 14 AV @ SW 4 ST" [25.464957755779075,-80.49352886426763] 106.04967050191398
12916 "208111" "6092495" 315852 "2528" "SW 14 AV @ W MOWRY DR" [25.468295238879985,-80.49356645958345] 106.17761737048761
12916 "208111" "6092495" 315853 "11331" "SW 187 AV @ SW 316 ST" [25.473310863513525,-80.49365134053711] 105.52422957629499
12916 "208111" "6092495" 315855 "11333" "SW 312 ST @ SW 8 AV" [25.47709578662859,-80.48825550101398] 103.05632974119746
12916 "208111" "6092495" 315856 "2556" "NW 8 ST @ NW 4 AV" [25.477113396105022,-80.48410575623652] 104.00401689342776
12916 "208111" "6092495" 315857 "2557" "NW 8 ST @ NW 1 AV" [25.477131927243555,-80.48068116222699] 103.73911098476306
12916 "208111" "6092495" 315858 "2500" "KROME AV @ NE 9 CT" [25.477919760000024,-80.47743065999141] 105.97179997433324
12916 "208111" "6092495" 315859 "2501" "KROME AV & NE 11 ST" [25.48010284950498,-80.47744964949534] 105.5418407791092
12916 "208111" "6092495" 315861 "2537" "NE 15 ST @ KROME TE" [25.484467199216063,-80.4766227910583] 103.7499770274512
12916 "208111" "6092495" 315862 "2538" "NE 15 ST @ NE 3 AV" [25.48449642125026,-80.47304911496934] 104.3435960505844
12916 "208111" "6092495" 315863 "2539" "NE 15 ST @ NE 6 AV" [25.48452237786164,-80.47032356604954] 103.80768027175601
12916 "208111" "6092495" 315864 "3423" "SW 170 AV @ SW 303 ST" [25.48473758,-80.467102] 105.95313620977264
12916 "208111" "6092495" 315865 "3424" "SW 170 AV @ SW 301 ST" [25.486895933418815,-80.46711964275258] 106.12924542702757
12916 "208111" "6092495" 315866 "3425" "SW 170 AV @ SW 298 ST" [25.488941954727153,-80.46715247700084] 105.46837809581113
12916 "208111" "6092495" 315867 "3426" "SW 170 AV @ SW 296 ST" [25.49066868415758,-80.46718142883567] 105.8035250526846
12916 "208111" "6092495" 315869 "3417" "SW 167 AV @ SW 292 ST" [25.49428027755103,-80.46112189795645] 105.68817639186297
12916 "208111" "6092495" 315870 "3418" "SW 167 AV @ SW 288 ST" [25.498165296091457,-80.46117907158155] 105.16183663217838
12916 "208111" "6092495" 315871 "3420" "SW 167 AV @ SW 280 ST" [25.505438523397633,-80.46135014895592] 105.8427931380911
12916 "208111" "6092495" 315872 "3765" "SW 280 ST @ SW 164 AV" [25.506548201842158,-80.45840060737764] 104.7078735852541
12916 "208111" "6092495" 315873 "3402" "SW 162 AV @ SW 282 ST" [25.50587023980596,-80.45319750968775] 106.79781608822091
12916 "208111" "6092495" 315874 "3404" "SW 162 AV @ SW 288 ST" [25.500427602472005,-80.45308449533448] 106.51146641620416
12916 "208111" "6092495" 315875 "3783" "SW 288 ST @ OLD DIXIE HY" [25.499311861370757,-80.44924137730948] 104.6754065443981
12916 "208111" "6092495" 315876 "3784" "SW 288 ST @ US 1" [25.49932245623308,-80.44777385366103] 103.16594005846977
12916 "208111" "6092495" 315877 "3785" "SW 288 ST @ SW 157 AV" [25.499282263914704,-80.44569539462147] 103.94549006543724
12916 "208111" "6092495" 315878 "3786" "SW 288 ST @ SW 154 CT" [25.499317807893,-80.4431985779504] 106.32588973431268
stops_match_shape_out_of_order WARNING 5

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
9503 "201056" "5677443" 115354 "11130" "THE CIRCLE@CANAL ST" [25.821929,-80.281029] 115353 "11349" "E 1 AV @ E 3 ST" [25.824272464886743,-80.27938502960221]
9580 "201068" "5678586" 118549 "8732" "BISCAYNE BD & NE 130 ST" [25.896663253551196,-80.1616129431714] 118548 "8731" "BISCAYNE BD & NE 135 ST" [25.899128650525014,-80.16088044200124]
8206 "201077" "5739809" 77711 "9570" "S DIXIE HWY & SW 37 AV" [25.733172407742686,-80.25391329916506] 77710 "166" "DOUGLAS RD STATION @ 3100 SW 37 AV" [25.73272127251921,-80.2538861155848]
12733 "208103" "6092030" 307787 "406" "SW 56 ST @ SW 152 AV" [25.713787689335064,-80.4372846882571] 307786 "10179" "SW 56 ST & SW 154 CT" [25.71353590088509,-80.44362062719215]
14950 "208224" "6098303" 422357 "3710" "OLD CUTLER RD @ OP # 20330" [25.577941649718863,-80.33745383907709] 422356 "440" "OLD CUTLER RD @ SW 92 AV" [25.576657675426603,-80.33982967702684]