GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T18:02:31Z,
for the dataset file:///shared/central-ohio_b5d78417.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

  • Central Ohio Transit Authority

Feed Info

Publisher Name:
Central Ohio Transit Authority
Publisher URL:
http://www.cota.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-01-05
Feed End Date:
2026-05-03

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. google.log
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 640
  • Routes: 42
  • Shapes: 134
  • Stops: 2945
  • Trips: 5345

Specification Compliance report

8601 notices reported (4 errors, 8596 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 4

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.
"56341" 51831 16.726 385 51830 16.726 384 1.1541370928286776
"56347" 53271 13.7245 371 53270 13.7245 370 1.1541370928286776
"56348" 54029 13.7245 371 54028 13.7245 370 1.1541370928286776
"56342" 52558 16.726 385 52557 16.726 384 1.1541370928286776
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 170

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 170 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.
"56252" 16478 20.3446 514 16477 20.3446 513 0.6776048725692679
"56252" 16480 20.4021 516 16479 20.4021 515 0.5815012902911694
"56373" 57353 7.191 180 57352 7.191 179 0.8496423640089765
"56373" 57355 7.2831 182 57354 7.2831 181 0.7914744911454042
"56374" 58034 14.542 340 58033 14.542 339 0.7914744911454042
"56374" 58036 14.6341 342 58035 14.6341 341 0.8496423640089765
"56259" 19899 26.4662 637 19898 26.4662 636 0.7667578885747167
"56259" 19901 26.5163 639 19900 26.5163 638 0.40692650872771785
"56254" 17311 19.8504 504 17310 19.8504 503 0.6776048725692679
"56254" 17313 19.9079 506 17312 19.9079 505 0.5815012902911694
"56539" 91440 24.4108 813 91439 24.4108 812 0.17031755812359817
"56539" 91442 24.422 815 91441 24.422 814 0.22239020252697528
"56261" 20877 26.4662 637 20876 26.4662 636 0.7667578885747167
"56261" 20879 26.5163 639 20878 26.5163 638 0.40692650872771785
"56264" 21855 26.4662 637 21854 26.4662 636 0.7667578885747167
"56264" 21857 26.5163 639 21856 26.5163 638 0.40692650872771785
"56264" 22266 40.1451 1048 22265 40.1451 1047 0.6119644408365537
"56264" 22268 40.1672 1050 22267 40.1672 1049 0.4763324467958878
"56544" 95047 18.5484 394 95046 18.5484 393 0.11119510161714974
"56544" 95049 18.5995 396 95048 18.5995 395 0.34430619342884716
"56546" 95839 18.5484 394 95838 18.5484 393 0.11119510161714974
"56546" 95841 18.5995 396 95840 18.5995 395 0.34430619342884716
"56540" 92515 24.4108 813 92514 24.4108 812 0.17031755812359817
"56540" 92517 24.422 815 92516 24.422 814 0.22239020252697528
"56541" 93146 14.5333 417 93145 14.5333 416 0.5115105946274
"56541" 93148 14.6354 419 93147 14.6354 418 0.8951264927451964
"56267" 22945 26.4662 637 22944 26.4662 636 0.7667578885747167
"56267" 22947 26.5163 639 22946 26.5163 638 0.40692650872771785
"56267" 23356 40.1451 1048 23355 40.1451 1047 0.6119644408365537
"56267" 23358 40.1672 1050 23357 40.1672 1049 0.4763324467958878
"56542" 93758 7.5169 191 93757 7.5169 190 0.5115105946274
"56542" 93760 7.6191 193 93759 7.6191 192 0.8951264927451964
"56543" 94232 2.5821 53 94231 2.5821 52 0.5115105946274
"56543" 94234 2.6842 55 94233 2.6842 54 0.8951264927451964
"56274" 24732 12.0925 353 24731 12.0925 352 0.40692650872771785
"56274" 24734 12.1426 355 24733 12.1426 354 0.7667578885747167
"56275" 25403 1.3978 43 25402 1.3978 42 0.4763324467958878
"56275" 25405 1.4198 45 25404 1.4198 44 0.6119644408365537
"56275" 25814 15.0483 454 25813 15.0483 453 0.40692650872771785
"56275" 25816 15.0984 456 25815 15.0984 455 0.7667578885747167
"56271" 23751 12.0925 353 23750 12.0925 352 0.40692650872771785
"56271" 23753 12.1426 355 23752 12.1426 354 0.7667578885747167
"56431" 75591 2.1515 49 75590 2.1515 48 0.8496423640089765
"56431" 75593 2.2437 51 75592 2.2437 50 0.7914744911454042
"56278" 26485 1.3978 43 26484 1.3978 42 0.4763324467958878
"56278" 26487 1.4198 45 26486 1.4198 44 0.6119644408365537
"56278" 26896 15.0486 454 26895 15.0486 453 0.40692650872771785
"56278" 26898 15.0987 456 26897 15.0987 455 0.7667578885747167
"56279" 27630 3.2035 106 27629 3.2035 105 0.14010501624940572
"56279" 27632 3.2258 108 27631 3.2258 107 0.17047078329515286
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

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

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

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260423" "20260503" "20260523"
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 1

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.
"fare_attributes.txt" 2 "agency_id"
mixed_case_recommended_field WARNING 8317

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 8317 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" "KENNY/LIVINGSTON" 2
"routes.txt" "route_long_name" "E MAIN/N HIGH" 3
"routes.txt" "route_long_name" "NORTHWEST/HARRISBURG" 4
"routes.txt" "route_long_name" "INDIANOLA/LOCKBOURNE" 5
"routes.txt" "route_long_name" "W 5TH AVE/REFUGEE" 6
"routes.txt" "route_long_name" "MT VERNON" 8
"routes.txt" "route_long_name" "KARL/S HIGH/PARSONS" 9
"routes.txt" "route_long_name" "W MOUND/BRENTNELL" 10
"routes.txt" "route_long_name" "E BROAD/W BROAD" 11
"routes.txt" "route_long_name" "BRYDEN/MAIZE" 12
"routes.txt" "route_long_name" "MCKINLEY/FIELDS" 13
"routes.txt" "route_long_name" "HILLIARD ROME" 14
"routes.txt" "route_long_name" "OSU-RICKENBACKER" 15
"routes.txt" "route_long_name" "JAMES-STELZER" 16
"routes.txt" "route_long_name" "HAMILTON RD" 17
"routes.txt" "route_long_name" "DUBLIN-GRANVILLE" 23
"routes.txt" "route_long_name" "CROSSWOODS-POLARIS" 24
"routes.txt" "route_long_name" "SHARON WOODS" 25
"routes.txt" "route_long_name" "NEW ALBANY" 28
"routes.txt" "route_long_name" "CANAL WINCHESTER" 31
"routes.txt" "route_long_name" "GROVE CITY" 32
"routes.txt" "route_long_name" "SMOKY ROW" 36
"routes.txt" "route_long_name" "ARLINGTON/1ST AVE" 37
"routes.txt" "route_long_name" "POLARIS PKWY/N HIGH" 39
"routes.txt" "route_long_name" "COLUMBUS ZOO" 40
"routes.txt" "route_long_name" "SMARTRIDE NEW ALBANY - RED" 42
"routes.txt" "route_long_name" "SMARTRIDE NEW ALBANY - BLUE" 43
"stops.txt" "stop_name" "HANSON ST & E MAIN ST" 2
"stops.txt" "stop_name" "W MOUND ST & S WAYNE AVE" 3
"stops.txt" "stop_name" "MORSE CROSSING & EASTON WAY" 4
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 4" 5
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 7" 6
"stops.txt" "stop_name" "SPRING ST TERMINAL BAY 2" 7
"stops.txt" "stop_name" "SPRING ST TERMINAL BAY 3" 8
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 9" 9
"stops.txt" "stop_name" "SPRING ST TERMINAL BAY 4" 10
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 3" 11
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 6" 12
"stops.txt" "stop_name" "COTA TRANSIT TERMINAL BAY 8" 13
"stops.txt" "stop_name" "SPRING ST TERMINAL BAY 1" 14
"stops.txt" "stop_name" "SPRING ST TERMINAL BAY 5" 15
"stops.txt" "stop_name" "TECHCENTER DR & AEP" 16
"stops.txt" "stop_name" "S HIGH ST & HOSACK ST" 17
"stops.txt" "stop_name" "E LIVINGSTON AVE & BULEN AVE" 18
"stops.txt" "stop_name" "CLEVELAND AVE & MOUNT VERNON AVE" 19
"stops.txt" "stop_name" "CLEVELAND AVE & E 2ND AVE" 20
"stops.txt" "stop_name" "CLEVELAND AVE & E 11TH AVE" 21
"stops.txt" "stop_name" "CLEVELAND AVE & CHITTENDEN AVE" 22
"stops.txt" "stop_name" "CLEVELAND AVE & WINDSOR AVE" 23
"stops.txt" "stop_name" "CLEVELAND AVE & E 15TH AVE" 24
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

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

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

Good examples:

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

Bad examples:

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

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"101" 38 "CMAX" "CMAX"
stop_too_far_from_shape_using_user_distance WARNING 103

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 103 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.
1990 "56421" "1047462" 142315 "HIGSTANN" "S HIGH ST & E STATE ST" [39.958887097561444,-83.00002026828726] 104.62672399673131
1990 "56421" "1047462" 142316 "HIGBRONN" "S HIGH ST & E BROAD ST" [39.96074941501537,-83.00040358989185] 102.80939115850266
1990 "56421" "1047462" 142317 "HIGLONN2" "N HIGH ST & E LONG ST" [39.96346666879467,-83.00091880940771] 105.60855374438407
1990 "56421" "1047462" 142318 "LON4THE" "E LONG ST & N 4TH ST" [39.96531294346007,-82.99823581018342] 106.95074716662435
1990 "56421" "1047462" 142319 "LONWASE" "E LONG ST & N WASHINGTON AVE" [39.96643499285188,-82.98851489419319] 104.56809641722593
1990 "56421" "1047462" 142321 "STE418N" "4180 STELZER RD" [40.05870144827621,-82.91037231725791] 104.92397400017893
2024 "56457" "1047523" 142673 "4THCAPN" "S 4TH ST & E CAPITAL ST" [39.961043468716845,-82.99593896046794] 100.99605813127044
2024 "56457" "1047523" 142674 "4THATHN" "N 4TH ST & E GAY ST" [39.96289852881576,-82.99626476267449] 101.31082147674678
2024 "56457" "1047523" 142676 "SPRFROW" "W SPRING ST & N FRONT ST" [39.96628323962575,-83.00147126769055] 101.66429800740518
2024 "56457" "1047523" 142679 "NOREXIW" "W NORTH BROADWAY & RIVERSIDE EXIT" [40.029460000156725,-83.03447521621622] 100.84173539675254
2024 "56457" "1047523" 142680 "NORSHAW" "W NORTH BROADWAY & SHATTUCK AVE" [40.029339464993534,-83.04098823698986] 102.1662532283384
2024 "56457" "1047523" 142681 "NORCLEW" "W NORTH BROADWAY & CLEARVIEW AVE" [40.02883734106317,-83.04506349407046] 102.93897302632884
2024 "56457" "1047523" 142682 "KENKENBN" "KENNY RD & KENBROOK COMMON ST" [40.029912868095515,-83.04851091853607] 101.81345991433957
2024 "56457" "1047523" 142683 "KENHIGN" "KENNY RD & HIGHLAND DR" [40.039435646707425,-83.05056127549047] 101.3427452778028
2024 "56457" "1047523" 142684 "KENWINN" "KENNY RD & WINDHAM RD" [40.04600441252023,-83.05008119060706] 101.44362637347247
2024 "56457" "1047523" 142685 "KENFOLN" "KENNY RD & FOLKESTONE RD" [40.04912506122519,-83.04985757554634] 101.128540524013
2024 "56457" "1047523" 142686 "KENMERN" "KENNY RD & MERRIMAR CIR S" [40.05328233918132,-83.04960016959294] 101.18841946524104
2024 "56457" "1047523" 142687 "KENWEYN" "KENNY RD & WEYBRIDGE RD" [40.05556700000009,-83.04946600000277] 100.63949611457322
2024 "56457" "1047523" 142688 "GODCHEW" "GODOWN RD & CHEVIOT DR" [40.059768118645685,-83.04996645762304] 101.26317446371417
2024 "56457" "1047523" 142689 "GODCAMN" "GODOWN RD & CAMBRIAN DR" [40.06183684732154,-83.0537634630017] 101.00455366907889
2024 "56457" "1047523" 142691 "BETPORW" "BETHEL RD & PORTLAND ST" [40.06386000000455,-83.06133783333334] 102.37401796629436
2024 "56457" "1047523" 142692 "BETREEW" "BETHEL RD & REED RD" [40.06399706604813,-83.0661475648484] 103.26661497725907
2024 "56457" "1047523" 142693 "BETMCKW" "BETHEL RD & MCKITRICK BLVD" [40.06415462504188,-83.07012193749283] 103.06515275227508
2024 "56457" "1047523" 142694 "BETDIEW" "BETHEL RD & DIERKER RD" [40.06429671542024,-83.07431886969188] 102.66571616200217
2024 "56457" "1047523" 142695 "BETBETW" "BETHEL RD & BETHEL PARK DR" [40.06439252926396,-83.07700848952412] 101.9433074727948
2024 "56457" "1047523" 142696 "BETCOAW" "BETHEL RD & COACHMAN RD" [40.064506065074326,-83.0805060832015] 102.02374934411928
2024 "56457" "1047523" 142697 "PICGARN" "PICKFORDE DR & GARDENIA DR" [40.0655295800001,-83.08654751798215] 101.57275165572639
2024 "56457" "1047523" 142698 "RESSAWW" "RESLER DR & SAWMILL RD" [40.067898473553875,-83.09040656943581] 102.37041323960537
2024 "56457" "1047523" 142699 "SAWBETS" "SAWMILL RD & BETHEL RD" [40.06684994890572,-83.09315308761634] 100.60293603997327
2024 "56457" "1047523" 142700 "HAYDONW" "HAYDEN RD & DONNYLANE BLVD" [40.066190632763536,-83.0975314281002] 101.52401484309492
2024 "56457" "1047523" 142701 "HAY316W" "3166 HAYDEN RD" [40.068112333600666,-83.10104266663215] 101.96226035236803
2024 "56457" "1047523" 142703 "FRANORNW" "FRANTZ RD & NORTHBRIDGE PLAZA" [40.06965269359479,-83.11719146994042] 101.95584166883638
2024 "56457" "1047523" 142704 "FRABALN" "FRANTZ RD & BALLYMEAD BLVD" [40.07185100000103,-83.12107346665647] 101.79460297249061
2024 "56457" "1047523" 142705 "FRABREN" "FRANTZ RD & BRELSFORD LN" [40.07460335836027,-83.12194132632729] 102.27126376782147
2024 "56457" "1047523" 142706 "5054PARW" "5054 PARKCENTER AVE" [40.07923653493329,-83.124422814005] 116.58835809479832
2028 "56460" "1047531" 142803 "4THTOWN" "S 4TH ST & E TOWN ST" [39.95787580607901,-82.99529770562324] 121.59044735656805
2028 "56460" "1047531" 142804 "4THCAPN" "S 4TH ST & E CAPITAL ST" [39.96084546289333,-82.99590292992085] 123.13894943042702
2028 "56460" "1047531" 142805 "4THATHN" "N 4TH ST & E GAY ST" [39.96270826952204,-82.99622750376304] 122.6337453224183
2028 "56460" "1047531" 142807 "SPRFROW" "W SPRING ST & N FRONT ST" [39.96631542336957,-83.00120675659527] 124.45060426554188
2028 "56460" "1047531" 142808 "SPRMARW" "W SPRING ST & MARCONI BLVD" [39.96607917753049,-83.0031454965366] 126.23888700884399
2028 "56460" "1047531" 142809 "EMESTEN" "EMERALD PKWY & STERLING COMMERCE" [40.07515604930745,-83.1399898725565] 119.44848633632813
2028 "56460" "1047531" 142810 "EMEGLEN" "EMERALD PKWY & GLENDON CT" [40.0790190414955,-83.14173908302] 123.05157875803246
2028 "56460" "1047531" 142813 "PBLAZACE" "PAUL G BLAZER & ASHLAND CHEMICAL" [40.087969588237996,-83.13307947715964] 120.43543073518761
2028 "56460" "1047531" 142814 "BLA515E" "5151 BLAZER PKWY" [40.089357985153306,-83.13194657195635] 121.14750748236779
2028 "56460" "1047531" 142815 "BLA505E" "5050 BLAZER PKWY" [40.08863550002893,-83.12738299995057] 125.13204016125951
2028 "56460" "1047531" 142816 "FRAMONN" "FRANTZ RD & MONTEREY DR" [40.08944375046229,-83.12354818420202] 123.92503368683988
2028 "56460" "1047531" 142817 "METUMETW" "METRO PL N & UPPER METRO PL" [40.09574229519145,-83.12728780817869] 124.64728183090189
2028 "56460" "1047531" 142818 "METCRPW" "METRO PL N & CROWN PLAZA" [40.096222054087164,-83.13063098910294] 124.3455169408492
2028 "56460" "1047531" 142819 "METS565S" "565 METRO PL S" [40.09595437694388,-83.13227191465714] 123.1751382839852
2028 "56460" "1047531" 142820 "METS495E" "495 METRO PL S" [40.09443593548644,-83.13304307739425] 121.43973567840216
stops_match_shape_out_of_order WARNING 2

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.
3097 "56358" "1044638" 223419 "1333FIES" "1333 FIELDS AVE" [39.99016195132965,-82.99169636705996] 223418 "1333FIEN" "1333 FIELDS AVE" [39.99066500001162,-82.99167]
1145 "56359" "1044428" 96345 "1333FIES" "1333 FIELDS AVE" [39.99016195132965,-82.99169636705996] 96344 "1333FIEN" "1333 FIELDS AVE" [39.99066500001162,-82.99167]
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"google.log"