GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-05T01:27:56Z,
for the dataset file:///shared/syncromatics-mct_d66075b5.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:
2026-03-16
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: 139
  • Routes: 24
  • Shapes: 112
  • Stops: 1283
  • Trips: 1595

Specification Compliance report

2889 notices reported (0 errors, 2886 warnings, 3 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 1013

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 1013 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`.
"25357" 8 239.51133037806716 6 7 239.51133037806716 5
"25357" 12 357.67264308575386 10 11 357.67264308575386 9
"25357" 18 1171.709665559812 16 17 1171.709665559812 15
"25357" 21 1290.3290110375965 19 20 1290.3290110375965 18
"25357" 25 1438.3008773720785 23 24 1438.3008773720785 22
"25357" 28 1577.5935596917573 26 27 1577.5935596917573 25
"25357" 34 1885.143487879248 32 33 1885.143487879248 31
"25357" 105 5453.420348632497 103 104 5453.420348632497 102
"25357" 141 7243.771211055488 139 140 7243.771211055488 138
"25357" 177 9305.276635378677 175 176 9305.276635378677 174
"25357" 326 18034.276493708767 324 325 18034.276493708767 323
"25357" 416 22653.28413433998 414 415 22653.28413433998 413
"25357" 437 23199.65293247455 435 436 23199.65293247455 434
"25357" 443 23425.179654943346 441 442 23425.179654943346 440
"25357" 447 23639.73315768434 445 446 23639.73315768434 444
"25357" 451 23843.068446550715 449 450 23843.068446550715 448
"25357" 464 24478.2163713024 462 463 24478.2163713024 461
"25357" 469 24677.139093024183 467 468 24677.139093024183 466
"25357" 475 25359.043871594247 473 474 25359.043871594247 472
"25357" 483 25749.506196866765 481 482 25749.506196866765 480
"25357" 488 26008.401173542494 486 487 26008.401173542494 485
"25357" 572 29909.462202682837 570 571 29909.462202682837 569
"25357" 579 30193.541992589813 577 578 30193.541992589813 576
"25357" 583 30379.120535513386 581 582 30379.120535513386 580
"25357" 586 30490.98756156033 584 585 30490.98756156033 583
"25357" 594 30893.34049605435 592 593 30893.34049605435 591
"25357" 602 31276.660045138557 600 601 31276.660045138557 599
"25357" 607 31544.78196265259 605 606 31544.78196265259 604
"25357" 614 31934.10064197657 612 613 31934.10064197657 611
"25357" 627 32571.907932036273 625 626 32571.907932036273 624
"25357" 631 32817.25966928459 629 630 32817.25966928459 628
"25357" 637 33133.62696726626 635 636 33133.62696726626 634
"25912" 18988 301.42419004077766 8 18987 301.42419004077766 7
"25912" 18997 750.2243979764953 17 18996 750.2243979764953 16
"25912" 19007 1174.621536927713 27 19006 1174.621536927713 26
"25912" 19011 1397.1565969749504 31 19010 1397.1565969749504 30
"25912" 19018 2416.9242448090654 38 19017 2416.9242448090654 37
"25912" 19025 2796.882949291055 45 19024 2796.882949291055 44
"25912" 19047 3858.5955621398202 67 19046 3858.5955621398202 66
"25912" 19060 4254.54511674833 80 19059 4254.54511674833 79
"25912" 19069 4582.604233192501 89 19068 4582.604233192501 88
"25912" 19088 5415.134612637836 108 19087 5415.134612637836 107
"25912" 19124 7105.077352246818 144 19123 7105.077352246818 143
"30096" 44717 39764.636417678776 611 44716 39764.636417678776 610
"30096" 44754 41455.792353581804 648 44753 41455.792353581804 647
"30096" 44821 44936.18782594165 715 44820 44936.18782594165 714
"30096" 44832 45278.162654123495 726 44831 45278.162654123495 725
"30096" 44836 45418.448084066746 730 44835 45418.448084066746 729
"30096" 44840 45555.034165200545 734 44839 45555.034165200545 733
"30096" 44847 45791.42344757168 741 44846 45791.42344757168 740
leading_or_trailing_whitespaces WARNING 10

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" 58 "stop_name" "Humbert Rd & Union School Rd N / E "
"stops.txt" 75 "stop_name" "IL 159 & Professional Park Dr S / W "
"stops.txt" 76 "stop_name" "5th St & Canal St NE "
"stops.txt" 78 "stop_name" "6th St & Short St NE "
"stops.txt" 79 "stop_name" "6th St & Short St SW "
"stops.txt" 81 "stop_name" "5th St & Canal St SW "
"stops.txt" 87 "stop_name" "Wells Fargo "
"stops.txt" 90 "stop_name" "Alton Golden Corral NE "
"routes.txt" 19 "route_long_name" "14 Highland - SIUE "
"routes.txt" 22 "route_long_name" "20 Gateway Commerce Center "
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 1510

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 1510 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" "IL 143 & IL 159 NE" 584
"stops.txt" "stop_name" "IL 162 & IL 159 SW" 970
"stops.txt" "stop_name" "IL 162 & IL 159" 994
"stops.txt" "stop_name" "GCC WTT" 1210
"trips.txt" "trip_headsign" "1 TO ALTON" 2
"trips.txt" "trip_headsign" "1 TO ALTON" 3
"trips.txt" "trip_headsign" "1 TO ALTON" 4
"trips.txt" "trip_headsign" "1 TO ALTON" 5
"trips.txt" "trip_headsign" "1 TO ALTON" 6
"trips.txt" "trip_headsign" "1 TO ALTON" 7
"trips.txt" "trip_headsign" "1 TO ALTON" 8
"trips.txt" "trip_headsign" "1 TO ALTON" 9
"trips.txt" "trip_headsign" "1 TO ALTON" 10
"trips.txt" "trip_headsign" "1 TO ALTON" 11
"trips.txt" "trip_headsign" "1 TO ALTON" 12
"trips.txt" "trip_headsign" "1 TO ALTON" 13
"trips.txt" "trip_headsign" "1 TO ALTON" 14
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 15
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 16
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 17
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 18
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 19
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 20
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 21
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 22
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 23
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 24
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 25
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 26
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 27
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 28
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 29
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 30
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 31
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 32
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 33
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 34
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 35
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 36
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 37
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 38
"trips.txt" "trip_headsign" "2 TO DOLLAR TREE" 39
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 40
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 41
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 42
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 43
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 44
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 45
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 46
"trips.txt" "trip_headsign" "2 TO WEST MADISON" 47
route_long_name_contains_short_name WARNING 18

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`.
"6534" 5 "05" "05 Tri-City Regional"
"6536" 7 "07" "07 Alton - Edwardsville"
"6538" 9 "09" "09 Washington Shuttle"
"6539" 10 "10" "10 State and Elm Shuttle"
"6540" 11 "11" "11 Brown Shuttle"
"6541" 12 "12" "12 Bethalto Shuttle"
"6542" 13 "13" "13 Glen Carbon - Troy"
"6544" 14 "16" "16 Edwardsville - Glen Carbon Shuttle"
"6545" 15 "18" "18 Collinsville Regional"
"6546" 16 "19" "19 Edwardsville - Collinsville"
"6548" 17 "21" "21 West Collinsville Shuttle"
"6550" 19 "14" "14 Highland - SIUE"
"6551" 20 "14X" "14X Highland Express"
"6552" 21 "16X" "16X Edwardsville - Glen Carbon Express"
"6553" 22 "20" "20 Gateway Commerce Center"
"6554" 23 "17" "17 Cougar Shuttle"
"6555" 24 "22" "22 University Shuttle"
"6810" 25 "23" "23 Logistics Valley Shuttle"
same_name_and_description_for_route WARNING 1

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`.
7 "6536" "07 Alton - Edwardsville" "route_long_name"
stop_too_far_from_shape_using_user_distance WARNING 31

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.
1484 "26134" "619126" 58175 "9980921" "IL 159 & Walgreens NE" [38.75121951990969,-89.95656766130973] 1331.849668924613
1484 "26134" "619126" 58176 "9986401" "IL 159 & Glen Crossing Rd NE" [38.764162984651314,-89.9566] 1335.2766483864123
1484 "26134" "619126" 58177 "9986402" "IL 159 & Cottonwood Rd NE" [38.78147684424721,-89.95133029149565] 992.1047407868513
1484 "26134" "619126" 58178 "9980932" "Cottonwood Plaza NE" [38.784728697288934,-89.95115374881385] 1079.854586577551
1484 "26134" "619126" 58179 "9979293" "Glen Carbon Wal Mart" [38.787064024509554,-89.95116669049133] 1221.1788116496339
1484 "26134" "619126" 58180 "9983666" "Troy Rd & Govenor Pkwy NE" [38.79954922572738,-89.95099764286216] 1324.2600471898552
1484 "26134" "619126" 58181 "9983668" "Troy Rd & Harvard Dr NE" [38.803653085772396,-89.95090237210532] 1327.7302603888384
1484 "26134" "619126" 58182 "9983672" "Troy Rd & 2nd Ave NE" [38.80700773631496,-89.95180506161022] 1318.4670840558724
1484 "26134" "619126" 58183 "9983673" "Troy Rd & 1st St NE" [38.80830571514163,-89.9521638901385] 1319.7909619243137
1484 "26134" "619126" 58184 "9983674" "Troy Rd & Franklin Ave NE" [38.808844717673516,-89.95383754101897] 1180.8898976240748
1484 "26134" "619126" 58185 "9983675" "Troy Rd & Nelson Ave NE" [38.81031915738902,-89.95539633048234] 1099.1213697273506
1484 "26134" "619126" 58186 "9983676" "Leclaire Junction NE" [38.813626,-89.957201] 1041.2054405207593
1484 "26134" "619126" 58187 "9987072" "Schwarz St & Kansas St NE" [38.813626,-89.957201] 608.5731240045246
1484 "26134" "619126" 58188 "9948091" "Main St & Park St NE" [38.813626,-89.957201] 442.94180350221484
757 "25453" "41421" 35104 "10005340" "SIUE Rendleman Hall" [38.79418287934732,-89.99454546972531] 196.27361665258633
1139 "30105" "491421" 43207 "9955600" "Convention Plaza & Broadway SW" [38.63334563420349,-90.18697013367377] 193.13691816502256
1139 "30105" "491421" 43208 "9955602" "6th St & Washington Ave SW" [38.630235070585556,-90.18809963525595] 136.228591108585
1139 "30105" "491421" 43209 "9955603" "6th St & Locust St SW" [38.630231311498804,-90.1893639506574] 191.2481257214078
1139 "30105" "491421" 43210 "9955604" "6th St & Pine St SW" [38.62905844181414,-90.18975087703353] 190.29254042859102
1139 "30105" "491421" 43211 "9955605" "8th St & Pine St SW" [38.62736970705705,-90.19092828842456] 172.4066436354957
1139 "30105" "491421" 43212 "9955606" "Market8th2 SW" [38.6275657038969,-90.19289089717357] 145.44764376941535
1139 "30105" "491421" 43213 "9955607" "Market St & 10th St SW" [38.62640330414459,-90.19369539216707] 187.13693944847364
1139 "30105" "491421" 43214 "9955608" "Tucker Blvd & Walnut St SW" [38.62729537527986,-90.19760540981991] 144.0609494936679
1139 "30105" "491421" 43215 "9955609" "Tucker Blvd & Spruce St SW" [38.62618857567922,-90.19884741519306] 188.9510924343502
1139 "30105" "491421" 43216 "9955610" "Spruce St & 13th St SW" [38.62490714112154,-90.19930385426437] 130.50008475550385
1139 "30105" "491421" 43217 "9955611" "Spruce St & 14th St SW" [38.624422878329774,-90.19993786176113] 190.29677476220365
1139 "30105" "491421" 43218 "9955612" "Market St & 14th St SW" [38.62698341069679,-90.20148133140987] 154.27698629667853
1139 "30105" "491421" 43219 "9955613" "Market St & 16th St SW" [38.62835288213829,-90.20195542332573] 188.83638277489257
1139 "30105" "491421" 43220 "9955614" "Market St & 17th St SW" [38.6285655391161,-90.2031532523045] 184.3050903670971
1139 "30105" "491421" 43221 "9955615" "Market St & 23rd St" [38.63019857649181,-90.21074002281253] 190.57560115970523
1139 "30105" "491421" 43222 "11812743" "Wells Fargo" [38.634006814510634,-90.21809022554707] 121.0388102669498
stop_without_stop_time WARNING 53

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.

Only the first 50 of 53 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
225 "9944357" "Victory Dr & Myrtle Ave NE"
553 "9956517" "Ferguson Ave & 2nd St NE"
838 "9970211" "Tolle Ln and US Hwy 67 SW"
839 "9970212" "Tolle Ln. at Greenleaf Ave. SW"
840 "9970213" "Humbert Rd & St. Peter Dr NE"
843 "9970216" "Humbert at St. Peter SW"
844 "9970217" "Tolle Ln. & Greenleaf NE"
845 "9970218" "Tolle Ln and US Hwy 67 NE"
853 "9970226" "Lewis & Clark Community College 2"
855 "9970228" "Tolle Ln and US Hwy 67 SW 2"
856 "9970229" "Tolle Ln. at Greenleaf Ave. SW 2"
880 "9974645" "Tolle Ln. & Greenleaf NE 2"
920 "9977169" "DollarTree WR"
921 "9977170" "Wesley Dr & Summer Ln NE"
922 "9977171" "Wesley Dr & Rhondell La NE"
923 "9977172" "Wesley Dr & Airline Dr NE"
924 "9977173" "Bellwood(IL 111) & Mechanical Dr NE"
925 "9977174" "Bellwood(IL 111) & Bender Ave NE"
926 "9977175" "Bellwood(IL 111) & Quik Trip NE"
927 "9977176" "Bethalto(IL 140) & Texas Blvd NE"
928 "9977177" "Bethalto(IL 140) & Homm St NE"
929 "9977178" "Prairie St & Bethalto (IL 140) NE"
930 "9977179" "Rou des Chateaux & Prairie St NE"
931 "9977180" "Rou des Chateaux & Rue Sans Souc NE"
932 "9977181" "Beau Chateau & Bethalto (140) NE"
933 "9977182" "Moreland Rd & Bethalto (140) NE"
934 "9977183" "Villa Rose"
935 "9977184" "Roosevelt St & Sheridan St NE"
936 "9977185" "Roosevelt St & Prairie St NE"
937 "9977186" "Prairie St & Bethalto Library NE"
938 "9977187" "Prairie St & Sherman St NE"
939 "9977188" "Prairie St & 2nd St NE"
940 "9977189" "Central St & Mine St NE"
941 "9977190" "2nd St & Trimpe Middle School NE"
942 "9977191" "2nd St & Bartmer Dr NE"
943 "9977192" "2nd St & Old Bethalto Rd NE"
944 "9977193" "Old Bethalto Rd & Ridgeway Ave NE"
946 "9977806" "Airline Dr & IL 111 NE"
947 "9977807" "Terminal Dr & Airline Ct NE"
948 "9977808" "Civic Memorial & Terminal Dr SW"
949 "9978156" "Bellwood(IL 111) & Walgreens SW"
950 "9978157" "Bellwood(IL 111) & Bender Ave SW"
951 "9978158" "Bellwood(IL 111) & Mechanical SW"
952 "9978159" "Wesley Dr & Airline Dr SW"
953 "9978160" "Wesley Dr & Rhondell La SW"
954 "9978161" "Wesley Dr & Summer Ln SW"
955 "9978539" "Civic Memorial & Terminal Dr NE"
956 "9978540" "Airline Dr & IL 111 SW"
983 "9979319" "Main St & Clay St NE"
1259 "9996300" "IL 157 & Dairy Queen"
trip_distance_exceeds_shape_distance_below_threshold WARNING 248

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 248 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.
"10211" "25843" 24773.343408083987 24772.905237714476 0.0
"102110" "25843" 24773.343408083987 24772.905237714476 0.0
"102111" "25843" 24773.343408083987 24772.905237714476 0.0
"102112" "25843" 24773.343408083987 24772.905237714476 0.0
"10212" "25843" 24773.343408083987 24772.905237714476 0.0
"10213" "25843" 24773.343408083987 24772.905237714476 0.0
"10214" "25843" 24773.343408083987 24772.905237714476 0.0
"10215" "25843" 24773.343408083987 24772.905237714476 0.0
"10216" "25843" 24773.343408083987 24772.905237714476 0.0
"10217" "25843" 24773.343408083987 24772.905237714476 0.0
"10218" "25843" 24773.343408083987 24772.905237714476 0.0
"10219" "25843" 24773.343408083987 24772.905237714476 0.0
"10221" "25845" 20902.611359898037 20902.611359898034 0.0
"102210" "25845" 20902.611359898037 20902.611359898034 0.0
"102211" "25845" 20902.611359898037 20902.611359898034 0.0
"102212" "25845" 20902.611359898037 20902.611359898034 0.0
"10222" "25845" 20902.611359898037 20902.611359898034 0.0
"10223" "25845" 20902.611359898037 20902.611359898034 0.0
"10224" "25845" 20902.611359898037 20902.611359898034 0.0
"10225" "25845" 20902.611359898037 20902.611359898034 0.0
"10226" "25845" 20902.611359898037 20902.611359898034 0.0
"10227" "25845" 20902.611359898037 20902.611359898034 0.0
"10228" "25845" 20902.611359898037 20902.611359898034 0.0
"10229" "25845" 20902.611359898037 20902.611359898034 0.0
"10421" "25855" 23505.391731256557 23505.391731256554 0.0
"109210" "25765" 17850.29529469216 17848.28694156574 0.0
"109211" "25765" 17850.29529469216 17848.28694156574 0.0
"10922" "25765" 17850.29529469216 17848.28694156574 0.0
"10923" "25765" 17850.29529469216 17848.28694156574 0.0
"10924" "25765" 17850.29529469216 17848.28694156574 0.0
"10925" "25765" 17850.29529469216 17848.28694156574 0.0
"10926" "25765" 17850.29529469216 17848.28694156574 0.0
"10927" "25765" 17850.29529469216 17848.28694156574 0.0
"10928" "25765" 17850.29529469216 17848.28694156574 0.0
"10929" "25765" 17850.29529469216 17848.28694156574 0.0
"119110" "26377" 20223.817543754765 20223.812892643407 0.0
"119112" "26377" 20223.817543754765 20223.812892643407 0.0
"119114" "26377" 20223.817543754765 20223.812892643407 0.0
"119117" "26377" 20223.817543754765 20223.812892643407 0.0
"119119" "26377" 20223.817543754765 20223.812892643407 0.0
"11912" "26377" 20223.817543754765 20223.812892643407 0.0
"119125" "26377" 20223.817543754765 20223.812892643407 0.0
"11914" "26377" 20223.817543754765 20223.812892643407 0.0
"11916" "26377" 20223.817543754765 20223.812892643407 0.0
"11918" "26377" 20223.817543754765 20223.812892643407 0.0
"12211" "25913" 8125.18830297895 8125.12802967789 0.0
"122110" "25913" 8125.18830297895 8125.12802967789 0.0
"122111" "25913" 8125.18830297895 8125.12802967789 0.0
"122112" "25913" 8125.18830297895 8125.12802967789 0.0
"122113" "25913" 8125.18830297895 8125.12802967789 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"