GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T18:32:38Z,
for the dataset file:///shared/ladot_7332cb5e.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:
2025-12-19
Feed End Date:
2027-02-28

Files included


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

Counts


  • Agencies: 4
  • Blocks: 707
  • Routes: 66
  • Shapes: 114
  • Stops: 2787
  • Trips: 6645

Specification Compliance report

2113 notices reported (0 errors, 2110 warnings, 3 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 222

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 222 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`.
"30024" 29801 11015.335271962605 143 29800 11015.335271962605 142
"30024" 29802 11015.335271962605 144 29801 11015.335271962605 143
"30025" 30452 17485.74024111918 303 30451 17485.74024111918 302
"30025" 30472 18723.38327840598 323 30471 18723.38327840598 322
"30025" 30482 19523.97573155519 333 30481 19523.97573155519 332
"30025" 30486 19796.27159072073 337 30485 19796.27159072073 336
"30025" 30488 19813.26134394873 339 30487 19813.26134394873 338
"30025" 30493 20109.396669392216 344 30492 20109.396669392216 343
"30025" 30498 20452.87474288015 349 30497 20452.87474288015 348
"30025" 30500 20543.012597564684 351 30499 20543.012597564684 350
"30025" 30524 22478.48986795799 375 30523 22478.48986795799 374
"30025" 30526 22564.653287092056 377 30525 22564.653287092056 376
"2388" 889 2116.583496138634 31 888 2116.583496138634 30
"2387" 521 568.3373099817946 12 520 568.3373099817946 11
"2387" 548 3673.0394416080426 39 547 3673.0394416080426 38
"2387" 646 17761.68177214546 137 645 17761.68177214546 136
"2387" 689 22822.492658845113 180 688 22822.492658845113 179
"2387" 692 22981.58083924592 183 691 22981.58083924592 182
"2387" 700 23351.043560282877 191 699 23351.043560282877 190
"2387" 703 23502.759082681794 194 702 23502.759082681794 193
"2387" 720 25341.665702767445 211 719 25341.665702767445 210
"2387" 726 26122.23083670685 217 725 26122.23083670685 216
"2387" 730 26531.50082961998 221 729 26531.50082961998 220
"2387" 734 27114.46615582175 225 733 27114.46615582175 224
"2387" 739 27693.183432513546 230 738 27693.183432513546 229
"2387" 746 28332.65540166977 237 745 28332.65540166977 236
"2387" 797 30507.623841076813 288 796 30507.623841076813 287
"2387" 798 30507.623841076813 289 797 30507.623841076813 288
"2387" 847 34250.959986710644 338 846 34250.959986710644 337
"20869" 21606 2609.174308696022 21 21605 2609.174308696022 20
"20869" 21607 2609.174308696022 22 21606 2609.174308696022 21
"8383" 4181 258.33978805289735 5 4180 258.33978805289735 4
"20795" 21513 1275.4648129974203 22 21512 1275.4648129974203 21
"8390" 4389 4510.009728548 84 4388 4510.009728548 83
"8390" 4419 6449.641252866927 114 4418 6449.641252866927 113
"8390" 4440 7407.6462270778675 135 4439 7407.6462270778675 134
"8390" 4459 8432.287571049557 154 4458 8432.287571049557 153
"8390" 4487 10680.699295945044 182 4486 10680.699295945044 181
"8390" 4499 11811.56125223586 194 4498 11811.56125223586 193
"11608" 8563 49954.56250540935 436 8562 49954.56250540935 435
"13225" 13562 5978.8781432997785 81 13561 5978.8781432997785 80
"13222" 12943 44812.15962296834 590 12942 44812.15962296834 589
"13343" 15347 737.298351520494 14 15346 737.298351520494 13
"13228" 14168 7116.7283588776945 154 14167 7116.7283588776945 153
"13228" 14179 7395.2028359126725 165 14178 7395.2028359126725 164
"13228" 14195 7625.248646447705 181 14194 7625.248646447705 180
"13228" 14209 7915.6494509455 195 14208 7915.6494509455 194
"13228" 14225 8631.593264735196 211 14224 8631.593264735196 210
"13228" 14263 10612.872756970912 249 14262 10612.872756970912 248
"13228" 14267 10933.504930064011 253 14266 10933.504930064011 252
fast_travel_between_consecutive_stops WARNING 2

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.
6245 "47-l8z6xo834" "856" 197.44439787616847 6.581479929205616 203280 10 "414308" "Goode Ave & Brand Blvd" "07:43:00" 203281 11 "485145" "Buena Vista St & Providence Medical Center (Northbound)" "07:44:00"
6392 "47-qil0wyge5" "856" 197.44439787616847 6.581479929205616 208188 10 "414308" "Goode Ave & Brand Blvd" "18:05:00" 208189 11 "485145" "Buena Vista St & Providence Medical Center (Northbound)" "18:06:00"
leading_or_trailing_whitespaces WARNING 265

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

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

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

You can see more about this notice here.

Only the first 50 of 265 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 102 "stop_name" "Fountain & Wilcox "
"stops.txt" 138 "stop_name" " Central & 42nd St. (CW)"
"stops.txt" 208 "stop_name" " Balboa Blvd & Superior St (Southbound)"
"stops.txt" 214 "stop_name" "Mlk Blvd & Magic Johnson Theater "
"stops.txt" 216 "stop_name" " Vine & Sunset Blvd "
"stops.txt" 217 "stop_name" "Vine & Hollywood "
"stops.txt" 218 "stop_name" " Beachwood & Westshire "
"stops.txt" 219 "stop_name" " Beachwood & Glen Oak "
"stops.txt" 220 "stop_name" " Beachwood & Glen Alder "
"stops.txt" 221 "stop_name" " Beachwood & Gower "
"stops.txt" 222 "stop_name" "Beachwood & Winans "
"stops.txt" 223 "stop_name" " Beachwood & Temple Hill "
"stops.txt" 224 "stop_name" "Beachwood & Scenic "
"stops.txt" 225 "stop_name" "Beachwood & Mid Block "
"stops.txt" 227 "stop_name" " Argyle & Yucca "
"stops.txt" 228 "stop_name" "Franklin & Argyle "
"stops.txt" 229 "stop_name" " Beachwood & Franklin "
"stops.txt" 230 "stop_name" " Beachwood & Mid Block "
"stops.txt" 231 "stop_name" " Beachwood & Scenic "
"stops.txt" 232 "stop_name" " Beachwood & Temple Hill "
"stops.txt" 233 "stop_name" " Beachwood & Winans"
"stops.txt" 235 "stop_name" " Beachwood & Glen Alder "
"stops.txt" 236 "stop_name" " Beachwood & Glen Oak "
"stops.txt" 237 "stop_name" " Beachwood & Westshire "
"stops.txt" 324 "stop_name" "Franklin & Vista Del Mar "
"stops.txt" 325 "stop_name" " Vine & Selma Ave "
"stops.txt" 331 "stop_name" "Crenshaw & MLK Jr. Blvd. "
"stops.txt" 333 "stop_name" "Santa Rosalia & Medical Plaza "
"stops.txt" 334 "stop_name" "Santa Rosalia & Marlton Ave "
"stops.txt" 335 "stop_name" "Santa Rosalia & Buckingham Rd "
"stops.txt" 336 "stop_name" "Santa Rosalia & West Blvd "
"stops.txt" 337 "stop_name" "Hillcrest & Santa Rosalia Dr "
"stops.txt" 338 "stop_name" "Hillcrest & Pinafore St "
"stops.txt" 350 "stop_name" " Stevely & August St."
"stops.txt" 351 "stop_name" " Pinafore & Stevely Ave."
"stops.txt" 352 "stop_name" " Pinafore & Nicolet Ave."
"stops.txt" 353 "stop_name" " Santo Tomas & Nicolet Ave."
"stops.txt" 355 "stop_name" " Hillcrest & Pinafore St."
"stops.txt" 356 "stop_name" " Santa Rosalia & Hillcrest Dr."
"stops.txt" 357 "stop_name" " Santa Rosalia & West Blvd."
"stops.txt" 358 "stop_name" " Santa Rosalia & Buckingham Rd."
"stops.txt" 359 "stop_name" " Santa Rosalia & Marlton Ave."
"stops.txt" 431 "stop_name" " Colorado & Ellenwood Dr. (Westbound)"
"stops.txt" 435 "stop_name" "Santa Monica & Vermont "
"stops.txt" 436 "stop_name" "Argyle & Yucca St. "
"stops.txt" 437 "stop_name" "Franklin & Beachwood Dr. "
"stops.txt" 440 "stop_name" "Franklin & Wilton Pl. "
"stops.txt" 452 "stop_name" "Santa Monica & Berendo St. "
"stops.txt" 454 "stop_name" "Edgemont & Lexington Ave. "
"stops.txt" 455 "stop_name" "Fountain & Edgemont Ave. "
mixed_case_recommended_field WARNING 822

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 822 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" "DASH D / SOUTH PARK" 2
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 5
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 6
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 9
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 11
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 12
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 14
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 18
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 22
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 24
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 26
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 32
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 36
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 37
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 39
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 41
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 42
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 43
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 45
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 51
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 59
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 60
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 61
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 64
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 68
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 79
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 82
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 91
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 106
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 108
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 109
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 122
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 126
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 127
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 128
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 130
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 131
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 133
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 139
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 153
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 154
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 156
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 157
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 159
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 160
"trips.txt" "trip_headsign" "DASH D / SOUTH PARK" 162
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 165
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 167
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 168
"trips.txt" "trip_headsign" "DASH D / UNION STATION EAST/ PATSAOURAS" 169
route_color_contrast WARNING 5

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.
"1758" 6 "#F0C184" "#FFFFFF"
"572" 34 "#F7B1C7" "#FFFFFF"
"603" 42 "#7DD0DE" "#FFFFFF"
"6770" 46 "#F7AB9C" "#FFFFFF"
"710" 48 "#FDCB9A" "#FFFFFF"
route_short_name_too_long WARNING 38

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

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`.
"1756" 4 "Pueblo Del Rio"
"1757" 5 "Southeast Clockwise"
"1758" 6 "Southeast Counterclockwise"
"4577" 21 "Observatory/Los Feliz"
"4867" 22 "Boyle Heights"
"4868" 23 "El Sereno/City Terrace"
"4869" 24 "Pico Union/Echo Park"
"562" 26 "Beachwood Canyon"
"564" 28 "Hollywood Clockwise"
"565" 29 "Hollywood/Wilshire"
"566" 30 "Highland Park/Eagle Rock"
"567" 31 "Lincoln Heights/Chinatown Clockwise"
"568" 32 "Lincoln Heights/Chinatown Counterclockwise"
"571" 33 "Wilshire Center/Koreatown Clockwise"
"572" 34 "Wilshire Center/Koreatown Counterclockwise"
"573" 35 "Crenshaw Clockwise"
"574" 36 "King East Clockwise"
"575" 37 "Leimert/Slauson Clockwise"
"5819" 39 "North Hollywood Clockwise"
"5820" 40 "North Hollywood Counterclockwise"
"589" 41 "Crenshaw Counterclockwise"
"603" 42 "Hollywood Counterclockwise"
"604" 43 "King East Counterclockwise"
"605" 44 "Leimert/Slauson Counterclockwise"
"6768" 45 "Pacoima Clockwise"
"6770" 46 "Pacoima Counter-Clockwise"
"708" 47 "Wilmington Clockwise"
"710" 48 "Wilmington Counterclockwise"
"712" 50 "Chesterfield Square"
"713" 51 "Watts Clockwise"
"714" 52 "Watts Counterclockwise"
"715" 53 "Vermont/Main Clockwise"
"716" 54 "Vermont/Main Counterclockwise"
"799" 56 "Van Nuys/Studio City Clockwise"
"800" 57 "Van Nuys/Studio City Counterclockwise"
"801" 58 "Panorama City/Van Nuys Clockwise"
"804" 59 "Panorama City/Van Nuys Counterclockwise"
"900" 67 "Union Station/Bunker Hill Shuttle"
same_name_and_description_for_route WARNING 34

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`.
3 "1524" "CE431B" "route_long_name"
4 "1756" "Pueblo Del Rio" "route_short_name"
5 "1757" "Southeast Clockwise" "route_short_name"
6 "1758" "Southeast Counterclockwise" "route_short_name"
7 "26" "CE431" "route_long_name"
15 "4291" "CE439" "route_long_name"
23 "4868" "El Sereno/City Terrace" "route_short_name"
24 "4869" "Pico Union/Echo Park" "route_short_name"
25 "5285" "Sylmar" "route_short_name"
30 "566" "Highland Park/Eagle Rock" "route_short_name"
31 "567" "Lincoln Heights/Chinatown Clockwise" "route_short_name"
32 "568" "Lincoln Heights/Chinatown Counterclockwise" "route_short_name"
34 "572" "Wilshire Center/Koreatown Counterclockwise" "route_short_name"
36 "574" "King East Clockwise" "route_short_name"
37 "575" "Leimert/Slauson Clockwise" "route_short_name"
38 "576" "Midtown" "route_short_name"
39 "5819" "North Hollywood Clockwise" "route_short_name"
43 "604" "King East Counterclockwise" "route_short_name"
44 "605" "Leimert/Slauson Counterclockwise" "route_short_name"
45 "6768" "Pacoima Clockwise" "route_short_name"
47 "708" "Wilmington Clockwise" "route_short_name"
48 "710" "Wilmington Counterclockwise" "route_short_name"
49 "711" "San Pedro" "route_short_name"
50 "712" "Chesterfield Square" "route_short_name"
51 "713" "Watts Clockwise" "route_short_name"
53 "715" "Vermont/Main Clockwise" "route_short_name"
54 "716" "Vermont/Main Counterclockwise" "route_short_name"
55 "798" "Northridge" "route_short_name"
56 "799" "Van Nuys/Studio City Clockwise" "route_short_name"
57 "800" "Van Nuys/Studio City Counterclockwise" "route_short_name"
58 "801" "Panorama City/Van Nuys Clockwise" "route_short_name"
59 "804" "Panorama City/Van Nuys Counterclockwise" "route_short_name"
61 "858" "437A" "route_short_name"
66 "871" "CE534" "route_long_name"
stop_without_stop_time WARNING 9

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.
94 "1522067" "3rd & Holt (Westbound)"
102 "1548411" "Fountain & Wilcox"
331 "302986" "Crenshaw & MLK Jr. Blvd."
361 "303096" "Crenshaw & MLK Jr. Blvd."
822 "305880" "Adams & Somerset Dr. (Southbound)"
1435 "394547" "Argyle & Yucca St."
2049 "485248" "Ave San Luis & Mulholland Dr (Eastbound)"
2352 "5725780" "Argyle & Hollywood Blvd"
2760 "8213394" "Manchester Ave & McKinley Pl"
trip_distance_exceeds_shape_distance_below_threshold WARNING 713

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 713 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.
"183-Mon - Fri_0acgsnuu3" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_0hfp2sm5e" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_0mcc5ucpq" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_17m6byd5h" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_1993bu47i" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_1cqil5cvb" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_1fv7nkciz" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_1git90if0" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_1xkdrtjob" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_2ab3f58cw" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_2b45g09p1" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_2cuynqfkl" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_2tr4bxsa6" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_2z08p2prh" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_33vzmlrsf" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_3vd0zot0y" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_4o9xqu249" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_4pa5lpv2n" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_5vobblrei" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_627748h6t" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_66fpz7jln" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_67mw0i5mv" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_68qtguwq2" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_6w8wqmjun" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_753bvvp3g" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7id7m9bu3" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7ie7a6hc4" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7sg215cvf" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7v8rdsxnl" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7whciqlau" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_7xq9rqthw" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_8denkxbmb" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_8eba07jrs" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_8lrhngjf6" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_8ysvlzc90" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_95s5a621s" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_9u13gtdi4" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_ac24v4xxx" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_an8i9wsry" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_apyvbbqdn" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_ayyfs8w7t" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_bgky1hkjs" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_bmx6jm5hf" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_ccqcc53p8" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_cd7r4xitw" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_cnng1qy0e" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_csg67woox" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_d398dfslv" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_d6m2iymoq" "20795" 5574.951570496632 5574.951062286967 0.0
"183-Mon - Fri_da4z8ozku" "20795" 5574.951570496632 5574.951062286967 0.0
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"