GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T20:21:12Z,
for the dataset file:///shared/trailways-nyt.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.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts

  • Agencies: 0
  • Blocks: 0
  • Routes: 8
  • Shapes: 8
  • Stops: 28
  • Trips: 8

Specification Compliance report

654 notices reported (5 errors, 649 warnings, 0 infos)

Notice Code Severity Total
trip_distance_exceeds_shape_distance ERROR 5

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"52c56f29125a11ec8544a3aaa8c2eea1" "52c56f29125a11ec8544a3aaa8c2eea1_0" 485275.3 312649.6 25.28814259638475
"8d30ce7e12fb11ec8544735c4142d152" "8d30ce7e12fb11ec8544735c4142d152_0" 285819.6 283467.65 42.387657617870964
"0e58f72f12fd11ec8544c97252fb2d7e" "0e58f72f12fd11ec8544c97252fb2d7e_0" 282548.7 282469.46 50.9786179164839
"02319b0514a411ec8544696c28231eb2" "02319b0514a411ec8544696c28231eb2_0" 34031.8 34022.01 28.28622810065571
"a5b805fd14a611ec85443f19c8e2257d" "a5b805fd14a611ec85443f19c8e2257d_0" 34031.8 34022.01 28.28622810065571
equal_shape_distance_same_coordinates WARNING 546

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 546 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`.
"8d30ce7e12fb11ec8544735c4142d152_0" 4681 2184.43 23 4680 2184.43 22
"8d30ce7e12fb11ec8544735c4142d152_0" 4796 12107.6 138 4795 12107.6 137
"8d30ce7e12fb11ec8544735c4142d152_0" 4830 16934.73 172 4829 16934.73 171
"8d30ce7e12fb11ec8544735c4142d152_0" 4891 24692.83 233 4890 24692.83 232
"8d30ce7e12fb11ec8544735c4142d152_0" 4923 30515.04 265 4922 30515.04 264
"8d30ce7e12fb11ec8544735c4142d152_0" 4976 32183.05 318 4975 32183.05 317
"8d30ce7e12fb11ec8544735c4142d152_0" 4983 32347.37 325 4982 32347.37 324
"8d30ce7e12fb11ec8544735c4142d152_0" 4986 32357.72 328 4985 32357.72 327
"8d30ce7e12fb11ec8544735c4142d152_0" 4988 32374.88 330 4987 32374.88 329
"8d30ce7e12fb11ec8544735c4142d152_0" 4989 32374.88 331 4988 32374.88 330
"8d30ce7e12fb11ec8544735c4142d152_0" 4990 32374.88 332 4989 32374.88 331
"8d30ce7e12fb11ec8544735c4142d152_0" 4992 32392.04 334 4991 32392.04 333
"8d30ce7e12fb11ec8544735c4142d152_0" 4995 32402.38 337 4994 32402.38 336
"8d30ce7e12fb11ec8544735c4142d152_0" 5002 32566.71 344 5001 32566.71 343
"8d30ce7e12fb11ec8544735c4142d152_0" 5011 32784.1 353 5010 32784.1 352
"8d30ce7e12fb11ec8544735c4142d152_0" 5036 33401.46 378 5035 33401.46 377
"8d30ce7e12fb11ec8544735c4142d152_0" 5059 34334.16 401 5058 34334.16 400
"8d30ce7e12fb11ec8544735c4142d152_0" 5064 34470.01 406 5063 34470.01 405
"8d30ce7e12fb11ec8544735c4142d152_0" 5065 34470.01 407 5064 34470.01 406
"8d30ce7e12fb11ec8544735c4142d152_0" 5066 34470.01 408 5065 34470.01 407
"8d30ce7e12fb11ec8544735c4142d152_0" 5071 34605.86 413 5070 34605.86 412
"8d30ce7e12fb11ec8544735c4142d152_0" 5078 35035.43 420 5077 35035.43 419
"8d30ce7e12fb11ec8544735c4142d152_0" 5080 35136.35 422 5079 35136.35 421
"8d30ce7e12fb11ec8544735c4142d152_0" 5100 35420.1 442 5099 35420.1 441
"8d30ce7e12fb11ec8544735c4142d152_0" 5109 35493.17 451 5108 35493.17 450
"8d30ce7e12fb11ec8544735c4142d152_0" 5117 35760.72 459 5116 35760.72 458
"8d30ce7e12fb11ec8544735c4142d152_0" 5120 35820.14 462 5119 35820.14 461
"8d30ce7e12fb11ec8544735c4142d152_0" 5121 35820.14 463 5120 35820.14 462
"8d30ce7e12fb11ec8544735c4142d152_0" 5122 35820.14 464 5121 35820.14 463
"8d30ce7e12fb11ec8544735c4142d152_0" 5127 35959.31 469 5126 35959.31 468
"8d30ce7e12fb11ec8544735c4142d152_0" 5142 36333.53 484 5141 36333.53 483
"8d30ce7e12fb11ec8544735c4142d152_0" 5175 38711.68 517 5174 38711.68 516
"8d30ce7e12fb11ec8544735c4142d152_0" 5270 50511.24 612 5269 50511.24 611
"8d30ce7e12fb11ec8544735c4142d152_0" 5308 52420.91 650 5307 52420.91 649
"8d30ce7e12fb11ec8544735c4142d152_0" 5317 52583.53 659 5316 52583.53 658
"8d30ce7e12fb11ec8544735c4142d152_0" 5318 52583.53 660 5317 52583.53 659
"8d30ce7e12fb11ec8544735c4142d152_0" 5319 52583.53 661 5318 52583.53 660
"8d30ce7e12fb11ec8544735c4142d152_0" 5328 52746.15 670 5327 52746.15 669
"8d30ce7e12fb11ec8544735c4142d152_0" 5350 53782.21 692 5349 53782.21 691
"8d30ce7e12fb11ec8544735c4142d152_0" 5361 54134.13 703 5360 54134.13 702
"8d30ce7e12fb11ec8544735c4142d152_0" 5373 54597.7 715 5372 54597.7 714
"8d30ce7e12fb11ec8544735c4142d152_0" 5427 55558.49 769 5426 55558.49 768
"8d30ce7e12fb11ec8544735c4142d152_0" 5428 55558.49 770 5427 55558.49 769
"8d30ce7e12fb11ec8544735c4142d152_0" 5429 55558.49 771 5428 55558.49 770
"8d30ce7e12fb11ec8544735c4142d152_0" 5478 56388.35 820 5477 56388.35 819
"8d30ce7e12fb11ec8544735c4142d152_0" 5495 56982.85 837 5494 56982.85 836
"8d30ce7e12fb11ec8544735c4142d152_0" 5506 57334.77 848 5505 57334.77 847
"8d30ce7e12fb11ec8544735c4142d152_0" 5516 58034.28 858 5515 58034.28 857
"8d30ce7e12fb11ec8544735c4142d152_0" 5664 74409.65 1006 5663 74409.65 1005
"8d30ce7e12fb11ec8544735c4142d152_0" 5668 74435.1 1010 5667 74435.1 1009
expired_calendar WARNING 8

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 "NYT947"
3 "NYT948"
4 "NYT915"
5 "NYT916"
6 "NYT905"
7 "NYT904"
8 "NYT901"
9 "NYT900"
fast_travel_between_consecutive_stops WARNING 4

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
3 "80949e36125b11ec854475fb01cc87b3" "NYT948" 278.48076147729716 74.2615363939459 52 6 "150469" "DANSVILLE, NY" "17:40:00" 53 7 "152340" "SONYEA, NY" "17:55:00"
3 "80949e36125b11ec854475fb01cc87b3" "NYT948" 977.4373673342216 97.74373673342215 53 7 "152340" "SONYEA, NY" "17:55:00" 54 8 "151195" "MT MORRIS, NY" "18:00:00"
2 "52c56f29125a11ec8544a3aaa8c2eea1" "NYT947" 977.4373673342216 97.74373673342215 39 4 "151195" "MT MORRIS, NY" "10:00:00" 40 5 "152340" "SONYEA, NY" "10:05:00"
2 "52c56f29125a11ec8544a3aaa8c2eea1" "NYT947" 278.48076147729716 74.2615363939459 40 5 "152340" "SONYEA, NY" "10:05:00" 41 6 "150469" "DANSVILLE, NY" "10:20:00"
fast_travel_between_far_stops WARNING 2

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.

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.
3 "80949e36125b11ec854475fb01cc87b3" "NYT948" 278.48076147729716 74.2615363939459 52 6 "150469" "DANSVILLE, NY" "17:40:00" 53 7 "152340" "SONYEA, NY" "17:55:00"
2 "52c56f29125a11ec8544a3aaa8c2eea1" "NYT947" 977.4373673342216 97.74373673342215 39 4 "151195" "MT MORRIS, NY" "10:00:00" 40 5 "152340" "SONYEA, NY" "10:05:00"
missing_recommended_field WARNING 9

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.
"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"
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 44

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.

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" "ROCHESTER -> BINGHAMTON" 2
"routes.txt" "route_long_name" "BINGHAMTON -> ROCHESTER" 3
"routes.txt" "route_long_name" "MASSENA -> SYRACUSE" 4
"routes.txt" "route_long_name" "SYRACUSE -> MASSENA" 5
"routes.txt" "route_long_name" "NIAGARA FALLS -> BUFFALO" 6
"routes.txt" "route_long_name" "BUFFALO -> NIAGARA FALLS" 7
"routes.txt" "route_long_name" "NIAGARA FALLS -> BUFFALO" 8
"routes.txt" "route_long_name" "BUFFALO -> NIAGARA FALLS" 9
"stops.txt" "stop_name" "PULASKI, NY" 2
"stops.txt" "stop_name" "SYRACUSE DESTINY USA, NY" 3
"stops.txt" "stop_name" "BATH, NY" 4
"stops.txt" "stop_name" "CLARKSON UNIV, NY" 5
"stops.txt" "stop_name" "CANTON, NY" 6
"stops.txt" "stop_name" "ROCHESTER, NY" 7
"stops.txt" "stop_name" "HORNELL (E), NY" 8
"stops.txt" "stop_name" "SYRACUSE, NY" 9
"stops.txt" "stop_name" "MT MORRIS, NY" 10
"stops.txt" "stop_name" "GOUVERNEUR, NY" 11
"stops.txt" "stop_name" "MASSENA, NY" 12
"stops.txt" "stop_name" "DE KALB JCT, NY" 13
"stops.txt" "stop_name" "AVON, NY" 14
"stops.txt" "stop_name" "POTSDAM SUNY, NY" 15
"stops.txt" "stop_name" "CORNING, NY" 16
"stops.txt" "stop_name" "BUFFALO, NY" 17
"stops.txt" "stop_name" "ELMIRA (E), NY" 18
"stops.txt" "stop_name" "DANSVILLE, NY" 19
"stops.txt" "stop_name" "POTSDAM, NY" 20
"stops.txt" "stop_name" "SONYEA, NY" 21
"stops.txt" "stop_name" "BINGHAMTON, NY" 22
"stops.txt" "stop_name" "SYRACUSE HANCOCK ARPT, NY" 23
"stops.txt" "stop_name" "CANTON SUNY (E), NY" 24
"stops.txt" "stop_name" "NIAGARA FALLS, NY" 25
"stops.txt" "stop_name" "GENESEO, NY" 26
"stops.txt" "stop_name" "PHILADELPHIA (E), NY" 27
"stops.txt" "stop_name" "EVANS MILLS, NY" 28
"stops.txt" "stop_name" "WATERTOWN, NY" 29
"trips.txt" "trip_short_name" "ROCHESTER -> BINGHAMTON" 2
"trips.txt" "trip_short_name" "BINGHAMTON -> ROCHESTER" 3
"trips.txt" "trip_short_name" "MASSENA -> SYRACUSE" 4
"trips.txt" "trip_short_name" "SYRACUSE -> MASSENA" 5
"trips.txt" "trip_short_name" "NIAGARA FALLS -> BUFFALO" 6
"trips.txt" "trip_short_name" "BUFFALO -> NIAGARA FALLS" 7
"trips.txt" "trip_short_name" "NIAGARA FALLS -> BUFFALO" 8
"trips.txt" "trip_short_name" "BUFFALO -> NIAGARA FALLS" 9
stop_too_far_from_shape WARNING 4

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.
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 27 "150470" "DE KALB JCT, NY" [44.48176670368821,-75.30178892932422] 105.76242764477578
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 32 "151470" "PULASKI, NY" [43.556968,-76.126651] 189.32035145817224
5 "0e58f72f12fd11ec8544c97252fb2d7e_0" "0e58f72f12fd11ec8544c97252fb2d7e" 5 "151470" "PULASKI, NY" [43.556968,-76.126651] 189.32035145817224
5 "0e58f72f12fd11ec8544c97252fb2d7e_0" "0e58f72f12fd11ec8544c97252fb2d7e" 10 "150470" "DE KALB JCT, NY" [44.48176670368821,-75.30178892932422] 105.76242764477578
stop_too_far_from_shape_using_user_distance WARNING 25

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.

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.
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 22 "150287" "POTSDAM SUNY, NY" [44.66199594054079,-74.99455936194497] 413.8302448208812
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 23 "151448" "POTSDAM, NY" [44.665421748877314,-75.00356426351492] 1270.2351806677157
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 24 "157289" "CLARKSON UNIV, NY" [44.66618197279495,-75.02545748789242] 1870.521942324775
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 25 "150293" "CANTON, NY" [44.60225446495099,-75.18603108587948] 1505.7067919309554
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 26 "150288" "CANTON SUNY (E), NY" [44.594877836629,-75.17796752421114] 1497.5820370286508
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 28 "150711" "GOUVERNEUR, NY" [44.321144813058375,-75.48648762826672] 2183.1443732766684
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 29 "151426" "PHILADELPHIA (E), NY" [44.14296515535643,-75.71854031061918] 2078.5600814741597
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 30 "150601" "EVANS MILLS, NY" [44.07540868660232,-75.81933963682674] 1759.4341085461692
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 31 "151855" "WATERTOWN, NY" [43.97886196994039,-75.91511859336235] 2118.3774351940133
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 33 "151756" "SYRACUSE HANCOCK ARPT, NY" [43.10149399520436,-76.155572952676] 1710.985549773562
4 "8d30ce7e12fb11ec8544735c4142d152_0" "8d30ce7e12fb11ec8544735c4142d152" 34 "158752" "SYRACUSE DESTINY USA, NY" [43.045188848969445,-76.14234] 1754.414651503278
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 40 "152340" "SONYEA, NY" [42.16113391431846,-77.10148195020076] 10455.441050392035
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 41 "150469" "DANSVILLE, NY" [42.043450869202545,-76.33955990945992] 125368.87535508124
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 42 "150258" "HORNELL (E), NY" [42.06284372618464,-76.12011976353497] 131844.2391900252
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 43 "150183" "BATH, NY" [42.10143099999999,-75.910112] 118864.37667067966
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 44 "150323" "CORNING, NY" [42.10143099999999,-75.910112] 94232.39386086704
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 45 "150590" "ELMIRA (E), NY" [42.10143099999999,-75.910112] 73923.78741003673
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 49 "150323" "CORNING, NY" [42.070175179186904,-77.06418170264237] 8086.82714847022
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 50 "150183" "BATH, NY" [42.25930152527388,-77.21128476920639] 12213.409608546928
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 51 "150258" "HORNELL (E), NY" [42.381055550534576,-77.54354136286148] 10463.006788501098
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 52 "150469" "DANSVILLE, NY" [42.443205112114775,-77.71205017673097] 12974.750160341537
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 53 "152340" "SONYEA, NY" [43.08223478895854,-77.61205864115568] 120798.04877642462
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 54 "151195" "MT MORRIS, NY" [43.162141,-77.607691] 53196.66593003123
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 55 "150678" "GENESEO, NY" [43.162141,-77.607691] 44147.37544536299
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 56 "152845" "AVON, NY" [43.162141,-77.607691] 31299.926411743036
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.
2 "52c56f29125a11ec8544a3aaa8c2eea1_0" "52c56f29125a11ec8544a3aaa8c2eea1" 41 "150469" "DANSVILLE, NY" [42.559346,-77.69527] 40 "152340" "SONYEA, NY" [42.06809828427948,-77.08342900269089]
3 "80949e36125b11ec854475fb01cc87b3_0" "80949e36125b11ec854475fb01cc87b3" 53 "152340" "SONYEA, NY" [42.06809828427948,-77.08342900269089] 52 "150469" "DANSVILLE, NY" [42.559346,-77.69527]
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20251212" "20210715" "20211012"
trip_distance_exceeds_shape_distance_below_threshold WARNING 3

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"80949e36125b11ec854475fb01cc87b3" "80949e36125b11ec854475fb01cc87b3_0" 480837.4 313781.77 3.980589879908924
"4f714d2914a411ec8544f3be251e9f0c" "4f714d2914a411ec8544f3be251e9f0c_0" 33081.2 33071.71 2.3655586763260428
"e0f67f3114a611ec8544af5377f66be0" "e0f67f3114a611ec8544af5377f66be0_0" 33081.2 33071.71 2.3655586763260428