GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T23:19:18Z,
for the dataset file:///shared/syncromatics-waukesha-wi-gov.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
GMV Syncromatics
Feed Email:
support@gmvsync.com
Feed Language:
English
Feed Start Date:
2025-09-02
Feed End Date:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_attributes.txt
  4. directions.txt
  5. feed_info.txt
  6. realtime_routes.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 27
  • Routes: 8
  • Shapes: 24
  • Stops: 418
  • Trips: 709

Specification Compliance report

337 notices reported (4 errors, 330 warnings, 3 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 4

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.

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`.
"2_15A 0652" "6767720" 12057 6512.412061166815 16 12056 6956.194748634029 15
"2_15A 0652" "6767723" 12059 7865.151472978084 18 12058 8771.353279993855 17
"2_15A 1517" "6767720" 12546 6512.412061166815 16 12545 6956.194748634029 15
"2_15A 1517" "6767723" 12548 7865.151472978084 18 12547 8771.353279993855 17
equal_shape_distance_same_coordinates WARNING 1

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.

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`.
"27663" 3016 711.5653648128655 7 3015 711.5653648128655 6
leading_or_trailing_whitespaces WARNING 6

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.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 370 "stop_name" "95th St/550 N. "
"stops.txt" 393 "stop_name" "Bluemound / 104th "
"stops.txt" 405 "stop_name" "Bluemound / Crystal "
"stops.txt" 406 "stop_name" "Bluemound / Terrace "
"routes.txt" 2 "route_long_name" "Route 8 Summit "
"routes.txt" 5 "route_long_name" "Route 3 Moreland "
missing_feed_info_date WARNING 1

missing_feed_info_date

One of feed_start_date or feed_end_date is specified, but not both.

Even though feed_info.start_date and feed_info.end_date are optional, if one field is provided the second one should also be provided.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. fieldName (?) Either `feed_end_date` or `feed_start_date`.
2 "feed_end_date"
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.
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 84

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 84 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.
"stops.txt" "stop_name" "92nd / 1000 N" 387
"stops.txt" "stop_name" "92nd at 800 N" 415
"trips.txt" "trip_headsign" "GRAND / WALMART" 54
"trips.txt" "trip_headsign" "GRAND / WALMART" 56
"trips.txt" "trip_headsign" "GRAND / WALMART" 58
"trips.txt" "trip_headsign" "GRAND / WALMART" 60
"trips.txt" "trip_headsign" "GRAND / WALMART" 62
"trips.txt" "trip_headsign" "GRAND / WALMART" 64
"trips.txt" "trip_headsign" "GRAND / WALMART" 66
"trips.txt" "trip_headsign" "GRAND / WALMART" 68
"trips.txt" "trip_headsign" "GRAND / WALMART" 70
"trips.txt" "trip_headsign" "GRAND / WALMART" 72
"trips.txt" "trip_headsign" "GRAND / WALMART" 247
"trips.txt" "trip_headsign" "GRAND / WALMART" 249
"trips.txt" "trip_headsign" "GRAND / WALMART" 251
"trips.txt" "trip_headsign" "GRAND / WALMART" 253
"trips.txt" "trip_headsign" "GRAND / WALMART" 255
"trips.txt" "trip_headsign" "GRAND / WALMART" 257
"trips.txt" "trip_headsign" "GRAND / WALMART" 259
"trips.txt" "trip_headsign" "GRAND / WALMART" 261
"trips.txt" "trip_headsign" "GRAND / WALMART" 263
"trips.txt" "trip_headsign" "GRAND / WALMART" 265
"trips.txt" "trip_headsign" "GRAND / WALMART" 267
"trips.txt" "trip_headsign" "GRAND / WALMART" 269
"trips.txt" "trip_headsign" "GRAND / WALMART" 271
"trips.txt" "trip_headsign" "GRAND / WALMART" 273
"trips.txt" "trip_headsign" "GRAND / WALMART" 275
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 340
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 342
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 344
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 346
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 348
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 350
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 352
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 354
"trips.txt" "trip_headsign" "WCTC VIA HHS BUILDING" 356
"trips.txt" "trip_headsign" "GRAND / WALMART" 511
"trips.txt" "trip_headsign" "GRAND / WALMART" 512
"trips.txt" "trip_headsign" "GRAND / WALMART" 513
"trips.txt" "trip_headsign" "GRAND / WALMART" 514
"trips.txt" "trip_headsign" "GRAND / WALMART" 515
"trips.txt" "trip_headsign" "GRAND / WALMART" 516
"trips.txt" "trip_headsign" "GRAND / WALMART" 517
"trips.txt" "trip_headsign" "GRAND / WALMART" 518
"trips.txt" "trip_headsign" "GRAND / WALMART" 519
"trips.txt" "trip_headsign" "GRAND / WALMART" 520
"trips.txt" "trip_headsign" "GRAND / WALMART" 521
"trips.txt" "trip_headsign" "GRAND / WALMART" 522
"trips.txt" "trip_headsign" "GRAND / WALMART" 535
"trips.txt" "trip_headsign" "GRAND / WALMART" 537
same_name_and_description_for_route WARNING 6

same_name_and_description_for_route

Same name and description for route.

The GTFS spec defines routes.txt route_desc as:

Description of a route that provides useful, quality information. Do not simply duplicate the name of the route.

See the GTFS and GTFS Best Practices links below for more examples of how to populate the route_short_name, route_long_name, and route_desc fields.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. routeId (?) The id of the faulty record. routeDesc (?) The `routes.routes_desc` of the faulty record. specifiedField (?) Either `route_short_name` or `route_long_name`.
2 "5400" "Route 8 Summit" "route_long_name"
3 "5401" "Route 15 Racine Avenue" "route_long_name"
4 "5402" "Route 6 St. Paul" "route_long_name"
7 "5408" "Route 9 Northview" "route_long_name"
8 "5410" "Route 4 Grand" "route_long_name"
9 "5414" "Route 5 Prairie" "route_long_name"
stop_too_far_from_shape_using_user_distance WARNING 63

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 63 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.
361 "27767" "2_15A 0652" 12057 "6767720" "E Racine Avenue at Cheviot Chase" [42.997052,-88.203019] 222.45856177367568
361 "27767" "2_15A 0652" 12059 "6767723" "E Racine Avenue at E Newhall Avenue" [42.99822100000001,-88.209489] 355.2673642823032
361 "27767" "2_15A 0652" 12060 "6767724" "E Racine Avenue at N Greenfield Avenue" [42.99822100000001,-88.209489] 628.2511298915687
3 "23863" "0_1L 0817" 74 "6755218" "1817 E Main Street" [43.022804221020785,-88.19590168404251] 111.43483312423861
3 "23863" "0_1L 0817" 75 "6755219" "E Main Street at Davidson Road" [43.02464454489217,-88.19344601111287] 111.09752170899563
3 "23863" "0_1L 0817" 77 "6754404" "Abbott Drive at Kossow Road" [43.03156617832178,-88.18061142565253] 109.93051909091454
3 "23863" "0_1L 0817" 78 "6754405" "Swenson Drive at Taco Bell" [43.03126744887393,-88.17661852705443] 109.33821892361473
3 "23863" "0_1L 0817" 79 "6754406" "Swenson Drive at Crossroads Circle" [43.0319750469368,-88.17449242354598] 111.31320341704482
3 "23863" "0_1L 0817" 81 "6754408" "The Corners of Brookfield" [43.03595696773576,-88.16555332475784] 111.00198286648805
3 "23863" "0_1L 0817" 82 "6754409" "Aldi's-Brookfield" [43.035955018489794,-88.15737210270836] 111.71533616691035
3 "23863" "0_1L 0817" 83 "6754411" "Bluemound Road at Regency Court" [43.035926928490476,-88.15139073535407] 110.47541612722122
3 "23863" "0_1L 0817" 84 "6754413" "Bluemound Rd. at McDonald's" [43.036010787682585,-88.146596175318] 111.53072040425155
3 "23863" "0_1L 0817" 85 "6754414" "Bluemound at Fiserv Dr." [43.03637275171661,-88.14106264787402] 111.69640767857115
3 "23863" "0_1L 0817" 86 "6754415" "Bluemound Road at Corporate Drive" [43.03660552791295,-88.13692260154855] 111.28935722349884
3 "23863" "0_1L 0817" 87 "6754416" "Portillo's" [43.0364422299545,-88.13405985814539] 110.65630478496524
3 "23863" "0_1L 0817" 88 "6754417" "Bluemound at Calhoun" [43.036099493583315,-88.12925636288541] 111.43150966373001
3 "23863" "0_1L 0817" 89 "6754418" "The Plaza" [43.03637211124765,-88.12672381621108] 111.55501649874506
3 "23863" "0_1L 0817" 90 "6754419" "16655 Bluemound Road (Squires Ii)" [43.03700124040284,-88.12089573327667] 111.41064449563662
3 "23863" "0_1L 0817" 91 "6754420" "Bluemound Road at Executive Drive" [43.03654124237626,-88.11751827761951] 111.50170215560482
3 "23863" "0_1L 0817" 92 "6754421" "Executive Dr at BMO Harris" [43.035670639626844,-88.11492515412829] 111.79308459447769
3 "23863" "0_1L 0817" 93 "6754422" "Brookfield Square" [43.03149319259059,-88.11333895867699] 111.73808673956255
3 "23863" "0_1L 0817" 94 "6755944" "Brookfield Square Drive at Executive" [43.030138680338894,-88.11271208465594] 109.82899437132647
3 "23863" "0_1L 0817" 95 "6755945" "180 Exective Drive Brookfield" [43.0317297218702,-88.11434072104142] 109.45068418362213
3 "23863" "0_1L 0817" 96 "6755946" "Executive Drive at Bluemound" [43.033552673306374,-88.1147968521227] 112.1654488735539
3 "23863" "0_1L 0817" 97 "8426171" "Bluemound & 16095" [43.0361113230006,-88.11410176738656] 110.08531785771318
3 "23863" "0_1L 0817" 98 "8645011" "Bluemound/15901 W." [43.035958272161174,-88.11115441515946] 110.48721808559323
3 "23863" "0_1L 0817" 99 "8645012" "Bluemound/Moorland" [43.03589180666028,-88.10615918466036] 110.7919607865253
3 "23863" "0_1L 0817" 100 "8645013" "Bluemound/Westmoor" [43.03587646209722,-88.10371121755001] 110.60419708924715
3 "23863" "0_1L 0817" 101 "8645014" "Bluemound/Elmridge" [43.036456569637146,-88.09736227819728] 110.7426386149697
3 "23863" "0_1L 0817" 102 "8645015" "Bluemound/Eastmoor" [43.03667050925862,-88.0937176292077] 110.96207239869513
3 "23863" "0_1L 0817" 103 "8645016" "Bluemound/Sunny Slope" [43.03616913103795,-88.08742587539379] 110.70077898387359
3 "23863" "0_1L 0817" 104 "8645017" "Bluemound/Bishops Way" [43.03580863596804,-88.08349023339252] 110.0429056281711
3 "23863" "0_1L 0817" 105 "8645018" "Bluemound/Elm Grove Rd" [43.035775506402075,-88.07981113180992] 110.6083013334133
3 "23863" "0_1L 0817" 106 "8645019" "Bluemound/12821 W." [43.03596464792159,-88.07351899291882] 110.42658790794815
3 "23863" "0_1L 0817" 107 "8645020" "Bluemound/124th St" [43.03627455417426,-88.06875911080587] 110.82811537313829
3 "23863" "0_1L 0817" 108 "8645021" "Bluemound/Underwood" [43.03637424354577,-88.06728455288899] 109.49772571526753
3 "23863" "0_1L 0817" 109 "8645022" "Bluemound/121st St" [43.03632995197233,-88.06429507171485] 110.57224877000547
3 "23863" "0_1L 0817" 110 "8645023" "Bluemound/116st St" [43.03590492228014,-88.05873270841333] 110.26673492457304
3 "23863" "0_1L 0817" 111 "8645024" "Bluemound/112th St" [43.03557041795375,-88.05447832444185] 110.72701156331725
3 "23863" "0_1L 0817" 112 "8645025" "Bluemound/Mayfair" [43.03497103256306,-88.04756566003556] 110.69633181660038
3 "23863" "0_1L 0817" 113 "8645026" "Bluemound/104th St" [43.03473570459803,-88.04371623004081] 110.21085354072025
3 "23863" "0_1L 0817" 114 "8645027" "Bluemound/Milwaukee County Zoo" [43.03474963892711,-88.03963021980299] 109.9175467645592
3 "23863" "0_1L 0817" 116 "8645029" "95th St/Wisconsin" [43.03719529960365,-88.03150282326874] 111.22690512458192
3 "23863" "0_1L 0817" 118 "8645031" "92nd St/800 N." [43.04019774289425,-88.02634726682551] 111.50447596428145
3 "23863" "0_1L 0817" 119 "8645032" "Watertown Plank/92nd" [43.04388553266491,-88.02622475697541] 110.56223175814502
3 "23863" "0_1L 0817" 120 "8645033" "Watertown Plank/8900 W." [43.045110824933474,-88.02511633284635] 110.88761135757693
3 "23863" "0_1L 0817" 121 "8645034" "Watertown Plank/87th St" [43.045555506621604,-88.02236767342406] 109.34143283408584
3 "23863" "0_1L 0817" 122 "8645035" "87th St/1100 N." [43.04419695822554,-88.01998327929356] 111.53135847245102
3 "23863" "0_1L 0817" 123 "8766714" "N87th and Coffey" [43.04230494168495,-88.01995381342216] 111.53310190230548
3 "23863" "0_1L 0817" 124 "8645036" "Coffey/Froedtert ER Entrance" [43.04104965145243,-88.02074108476565] 110.64455662896506
stop_without_stop_time WARNING 38

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
9 "11190891" "Moreland Blvd at Jennifer"
10 "11190892" "Manhattan at Moreland"
12 "11244964" "Moreland at Madison"
13 "11245491" "3200 N Grandview (GE MRI)"
14 "11245492" "3000 N Grandview (GE Main Drive)"
15 "11245493" "Silvernail at Redcross"
16 "11245963" "Silvernail at Opposite Redcross"
17 "11246238" "3200 N Grandview (GE MRI)"
18 "11246239" "Silvernail at Redcross"
19 "11318834" "Sunset Dr at Meijer"
20 "11319100" "Garfield Ave at East Ave"
88 "6755960" "Abbott Drive at Parklawn Drive"
89 "6755962" "Springdale Road at Heritage Lane"
113 "6758336" "Opp 1320 S East Avenue"
114 "6758338" "S East Avenue at E Roberta Avenue"
119 "6758354" "N East Avenue at Arcadian Avenue"
135 "6758581" "S Grand Avenue at Ellsworth Place"
143 "6758589" "W College Avenue at N Barstow Street"
150 "6758803" "W College Avenue at N Barstow Street"
157 "6758810" "S Grand Avenue at Ellsworth Place"
165 "6759188" "Sunset Dr at Prairie Ave."
172 "6759195" "N West Avenue at Elizabeth Street"
178 "6759201" "Clinton Street at W Main Street"
197 "6760370" "1205 S Grandview Boulevard"
211 "6760873" "North St at Fuller St"
212 "6760874" "North St. at Mountain Village Apa"
220 "6760896" "Opposite 1205 S Grandview Boulevard"
229 "6761645" "Madison Street at Fourth Street"
231 "6761647" "Madison Street at W North Avenue"
232 "6761846" "Michigan Avenue at Carriage Drive"
248 "6762217" "Michigan Avenue at Greenmeadow Drive"
249 "6762218" "Michigan Avenue at Western Avenue"
260 "6763166" "E ST Paul Avenue at Nw Barstow Street"
267 "6763173" "W Moreland Boulevard at Gascoigne Drive"
275 "6763187" "Pebble Valley Park"
291 "6765017" "Main St at Grandview Blvd(Pewaukee)"
301 "6765030" "Pebble Valley Rd at Pebble Valley Park"
331 "6767966" "Tenny at Sunset"
trip_distance_exceeds_shape_distance_below_threshold WARNING 130

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.

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

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.
"0_1L 0723" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 0906" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1049" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1232" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1415" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1558" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1741" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 1924" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1L 2107" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 0757" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 0940" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1123" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1306" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1449" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1632" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1815" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 1958" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1M 2141" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1N 0831" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1N 1014" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1N 1157" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1N 1340" "24592" 23258.778342130478 23258.76589817473 0.0
"0_1N 1523" "24592" 23258.778342130478 23258.76589817473 0.0
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unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"calendar_attributes.txt"
"realtime_routes.txt"
"directions.txt"