syncromatics-mct — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T22:16:32Z,
for the dataset file:///shared/syncromatics-mct_49156b4b.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:
2026-07-21
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: 130
  • Routes: 22
  • Shapes: 98
  • Stops: 1197
  • Trips: 1474

Specification Compliance report

2767 notices reported (0 errors, 2761 warnings, 6 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 847

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 847 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`.
"31513" 52043 224.1979586247021 4 52042 224.1979586247021 3
"31513" 52049 499.1354775728398 10 52048 499.1354775728398 9
"31513" 52054 749.3980122533302 15 52053 749.3980122533302 14
"31513" 52058 926.1160383733386 19 52057 926.1160383733386 18
"31513" 52064 1215.736193462192 25 52063 1215.736193462192 24
"31513" 52070 1537.3034828490809 31 52069 1537.3034828490809 30
"31513" 52077 1924.0543263322143 38 52076 1924.0543263322143 37
"31513" 52081 2138.1506933324886 42 52080 2138.1506933324886 41
"31513" 52086 2383.1395426379936 47 52085 2383.1395426379936 46
"31513" 52092 2755.4294174813353 53 52091 2755.4294174813353 52
"31513" 52098 3085.3175178535407 59 52097 3085.3175178535407 58
"31513" 52104 3256.3243750209967 65 52103 3256.3243750209967 64
"31513" 52109 3507.582849520701 70 52108 3507.582849520701 69
"31513" 52116 3802.6601683048516 77 52115 3802.6601683048516 76
"31513" 52121 4002.7317855335396 82 52120 4002.7317855335396 81
"31513" 52128 4266.889282020045 89 52127 4266.889282020045 88
"31513" 52137 4693.090092531647 98 52136 4693.090092531647 97
"31513" 52147 5267.915286554408 108 52146 5267.915286554408 107
"31513" 52155 5707.865229913601 116 52154 5707.865229913601 115
"31513" 52161 5997.663135565366 122 52160 5997.663135565366 121
"31513" 52168 6364.9584521380875 129 52167 6364.9584521380875 128
"31513" 52174 6712.142799860759 135 52173 6712.142799860759 134
"31513" 52183 7084.635778641309 144 52182 7084.635778641309 143
"31513" 52188 7286.164850580165 149 52187 7286.164850580165 148
"31513" 52194 7544.847699316893 155 52193 7544.847699316893 154
"31513" 52202 7905.570755659173 163 52201 7905.570755659173 162
"31513" 52208 8116.3352693445495 169 52207 8116.3352693445495 168
"31513" 52220 8543.588030409253 181 52219 8543.588030409253 180
"31513" 52224 8692.751445085609 185 52223 8692.751445085609 184
"31513" 52233 9016.009936812636 194 52232 9016.009936812636 193
"31513" 52238 9283.889856697868 199 52237 9283.889856697868 198
"31513" 52243 9522.04813881082 204 52242 9522.04813881082 203
"31513" 52247 9756.840447152812 208 52246 9756.840447152812 207
"31513" 52249 9943.736469061158 210 52248 9943.736469061158 209
"31513" 52258 10291.987742315876 219 52257 10291.987742315876 218
"25357" 8 239.59168045339374 6 7 239.59168045339374 5
"25357" 12 357.75299316108044 10 11 357.75299316108044 9
"25357" 18 1171.7900156351384 16 17 1171.7900156351384 15
"25357" 21 1290.4093611129229 19 20 1290.4093611129229 18
"25357" 25 1438.3812274474049 23 24 1438.3812274474049 22
"25357" 28 1577.6739097670836 26 27 1577.6739097670836 25
"25357" 34 1885.2238379545743 32 33 1885.2238379545743 31
"25357" 105 5453.500698707823 103 104 5453.500698707823 102
"25357" 141 7243.851561130814 139 140 7243.851561130814 138
"25357" 177 9305.356985454004 175 176 9305.356985454004 174
"25357" 326 18034.35684378409 324 325 18034.35684378409 323
"25357" 416 22653.364484415306 414 415 22653.364484415306 413
"25357" 437 23199.733282549874 435 436 23199.733282549874 434
"25357" 443 23425.26000501867 441 442 23425.26000501867 440
"25357" 447 23639.813507759663 445 446 23639.813507759663 444
leading_or_trailing_whitespaces WARNING 9

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" 72 "stop_name" "IL 159 & Professional Park Dr S / W "
"stops.txt" 73 "stop_name" "5th St & Canal St NE "
"stops.txt" 75 "stop_name" "6th St & Short St NE "
"stops.txt" 76 "stop_name" "6th St & Short St SW "
"stops.txt" 78 "stop_name" "5th St & Canal St SW "
"stops.txt" 84 "stop_name" "Wells Fargo "
"stops.txt" 87 "stop_name" "Alton Golden Corral NE "
"routes.txt" 17 "route_long_name" "14 Highland - SIUE "
"routes.txt" 20 "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 1478

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 1478 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" 925
"stops.txt" "stop_name" "IL 162 & IL 159" 929
"stops.txt" "stop_name" "GCC WTT" 1124
"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 16

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"
"6544" 12 "16" "16 Edwardsville - Glen Carbon Shuttle"
"6545" 13 "18" "18 Collinsville Regional"
"6546" 14 "19" "19 Edwardsville - Collinsville"
"6548" 15 "21" "21 West Collinsville Shuttle"
"6550" 17 "14" "14 Highland - SIUE"
"6551" 18 "14X" "14X Highland Express"
"6552" 19 "16X" "16X Edwardsville - Glen Carbon Express"
"6553" 20 "20" "20 Gateway Commerce Center"
"6554" 21 "17" "17 Cougar Shuttle"
"6555" 22 "22" "22 University Shuttle"
"6810" 23 "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.
1363 "26134" "619126" 56163 "9980921" "IL 159 & Walgreens NE" [38.75121951990969,-89.95656766130973] 1331.849668924613
1363 "26134" "619126" 56164 "9986401" "IL 159 & Glen Crossing Rd NE" [38.764162984651314,-89.9566] 1335.2766483864123
1363 "26134" "619126" 56165 "9986402" "IL 159 & Cottonwood Rd NE" [38.78147684424721,-89.95133029149565] 992.1047407868513
1363 "26134" "619126" 56166 "9980932" "Cottonwood Plaza NE" [38.784728697288934,-89.95115374881385] 1079.854586577551
1363 "26134" "619126" 56167 "9979293" "Glen Carbon Wal Mart" [38.787064024509554,-89.95116669049133] 1221.1788116496339
1363 "26134" "619126" 56168 "9983666" "Troy Rd & Govenor Pkwy NE" [38.79954922572738,-89.95099764286216] 1324.2600471898552
1363 "26134" "619126" 56169 "9983668" "Troy Rd & Harvard Dr NE" [38.803653085772396,-89.95090237210532] 1327.7302603888384
1363 "26134" "619126" 56170 "9983672" "Troy Rd & 2nd Ave NE" [38.80700773631496,-89.95180506161022] 1318.4670840558724
1363 "26134" "619126" 56171 "9983673" "Troy Rd & 1st St NE" [38.80830571514163,-89.9521638901385] 1319.7909619243137
1363 "26134" "619126" 56172 "9983674" "Troy Rd & Franklin Ave NE" [38.808844717673516,-89.95383754101897] 1180.8898976240748
1363 "26134" "619126" 56173 "9983675" "Troy Rd & Nelson Ave NE" [38.81031915738902,-89.95539633048234] 1099.1213697273506
1363 "26134" "619126" 56174 "9983676" "Leclaire Junction NE" [38.813626,-89.957201] 1041.2054405207593
1363 "26134" "619126" 56175 "9987072" "Schwarz St & Kansas St NE" [38.813626,-89.957201] 608.5731240045246
1363 "26134" "619126" 56176 "9948091" "Main St & Park St NE" [38.813626,-89.957201] 442.94180350221484
728 "25453" "41421" 34234 "10005340" "SIUE Rendleman Hall" [38.79418287934732,-89.99454546972531] 196.27361665258633
1019 "30105" "491421" 41192 "9955600" "Convention Plaza & Broadway SW" [38.63334563420349,-90.18697013367377] 193.13691816502256
1019 "30105" "491421" 41193 "9955602" "6th St & Washington Ave SW" [38.630235070585556,-90.18809963525595] 136.228591108585
1019 "30105" "491421" 41194 "9955603" "6th St & Locust St SW" [38.630231311498804,-90.1893639506574] 191.2481257214078
1019 "30105" "491421" 41195 "9955604" "6th St & Pine St SW" [38.62905844181414,-90.18975087703353] 190.29254042859102
1019 "30105" "491421" 41196 "9955605" "8th St & Pine St SW" [38.62736970705705,-90.19092828842456] 172.4066436354957
1019 "30105" "491421" 41197 "9955606" "Market8th2 SW" [38.6275657038969,-90.19289089717357] 145.44764376941535
1019 "30105" "491421" 41198 "9955607" "Market St & 10th St SW" [38.62640330414459,-90.19369539216707] 187.13693944847364
1019 "30105" "491421" 41199 "9955608" "Tucker Blvd & Walnut St SW" [38.62729537527986,-90.19760540981991] 144.0609494936679
1019 "30105" "491421" 41200 "9955609" "Tucker Blvd & Spruce St SW" [38.62618857567922,-90.19884741519306] 188.9510924343502
1019 "30105" "491421" 41201 "9955610" "Spruce St & 13th St SW" [38.62490714112154,-90.19930385426437] 130.50008475550385
1019 "30105" "491421" 41202 "9955611" "Spruce St & 14th St SW" [38.624422878329774,-90.19993786176113] 190.29677476220365
1019 "30105" "491421" 41203 "9955612" "Market St & 14th St SW" [38.62698341069679,-90.20148133140987] 154.27698629667853
1019 "30105" "491421" 41204 "9955613" "Market St & 16th St SW" [38.62835288213829,-90.20195542332573] 188.83638277489257
1019 "30105" "491421" 41205 "9955614" "Market St & 17th St SW" [38.6285655391161,-90.2031532523045] 184.3050903670971
1019 "30105" "491421" 41206 "9955615" "Market St & 23rd St" [38.63019857649181,-90.21074002281253] 190.57560115970523
1019 "30105" "491421" 41207 "11812743" "Wells Fargo" [38.634006814510634,-90.21809022554707] 121.0388102669498
stop_without_stop_time WARNING 37

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.
2 "10000465" "Airline Dr & Westerholdt St NE"
3 "10000466" "Bellwood(IL111) & IL140"
4 "10000467" "Prairie St & Bethalto( IL 140) NE"
5 "10004478" "Prairie St & Bethalto (IL 140) SW"
6 "10004479" "Erwin Plegge Blvd & Oak St SW"
34 "10016085" "Axis Apartments NE"
35 "10016086" "SIUE Early Childhood Center 2"
36 "10016087" "Circle Dr and NW University Dr"
37 "10016088" "Circle Dr & Peck Service Rd NE"
38 "10016644" "The Social NE"
39 "10016645" "Century at Southwest NE"
53 "10017530" "Circle Dr & Woodland NE"
54 "10017531" "Circle Dr & Evergreen SW"
55 "10017532" "Circle Dr & Bluff SW"
56 "10017533" "SIUE Early Childhood Center"
57 "10018035" "Century at Rottingham NE"
225 "9944357" "Victory Dr & Myrtle Ave NE"
553 "9956517" "Ferguson Ave & 2nd St NE"
775 "9964504" "Alton Save a Lot"
837 "9970211" "Tolle Ln and US Hwy 67 SW"
838 "9970212" "Tolle Ln. at Greenleaf Ave. SW"
839 "9970213" "Humbert Rd & St. Peter Dr NE"
842 "9970216" "Humbert at St. Peter SW"
843 "9970217" "Tolle Ln. & Greenleaf NE"
844 "9970218" "Tolle Ln and US Hwy 67 NE"
852 "9970226" "Lewis & Clark Community College 2"
853 "9970227" "Godfrey Park & Ride SW"
854 "9970228" "Tolle Ln and US Hwy 67 SW 2"
855 "9970229" "Tolle Ln. at Greenleaf Ave. SW 2"
878 "9973718" "Godfrey Park & Ride"
879 "9974645" "Tolle Ln. & Greenleaf NE 2"
919 "9977194" "Bellwood(IL 111) & IL 140 SW"
1173 "9996300" "IL 157 & Dairy Queen"
1174 "9996301" "Leisure World"
1175 "9996302" "Collinsport Dr & Easport Plaza Dr"
1197 "9998939" "Alton Square SW"
1198 "9998940" "Godfrey Walmart"
trip_distance_exceeds_shape_distance_below_threshold WARNING 340

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 340 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.
"104111" "25850" 8985.875324899363 8985.305817898656 0.0
"10511" "29685" 24723.133539302646 24722.44022072488 0.0
"105110" "29685" 24723.133539302646 24722.44022072488 0.0
"105111" "29685" 24723.133539302646 24722.44022072488 0.0
"105112" "29685" 24723.133539302646 24722.44022072488 0.0
"105113" "29685" 24723.133539302646 24722.44022072488 0.0
"105114" "29685" 24723.133539302646 24722.44022072488 0.0
"10512" "29685" 24723.133539302646 24722.44022072488 0.0
"10513" "29685" 24723.133539302646 24722.44022072488 0.0
"10514" "29685" 24723.133539302646 24722.44022072488 0.0
"10515" "29685" 24723.133539302646 24722.44022072488 0.0
"10516" "29685" 24723.133539302646 24722.44022072488 0.0
"10517" "29685" 24723.133539302646 24722.44022072488 0.0
"10518" "29685" 24723.133539302646 24722.44022072488 0.0
"10519" "29685" 24723.133539302646 24722.44022072488 0.0
"10521" "29679" 24598.686805549965 24598.349141093284 0.0
"105210" "29679" 24598.686805549965 24598.349141093284 0.0
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"105212" "29679" 24598.686805549965 24598.349141093284 0.0
"105213" "29679" 24598.686805549965 24598.349141093284 0.0
"105214" "29679" 24598.686805549965 24598.349141093284 0.0
"10522" "29679" 24598.686805549965 24598.349141093284 0.0
"10523" "29679" 24598.686805549965 24598.349141093284 0.0
"10524" "29679" 24598.686805549965 24598.349141093284 0.0
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"10526" "29679" 24598.686805549965 24598.349141093284 0.0
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"10529" "29679" 24598.686805549965 24598.349141093284 0.0
"11911" "31154" 20151.333870374434 20151.332852823896 0.0
"119110" "26377" 20223.817543754765 20223.812892643407 0.0
"119111" "31154" 20151.333870374434 20151.332852823896 0.0
"119112" "26377" 20223.817543754765 20223.812892643407 0.0
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"119114" "26377" 20223.817543754765 20223.812892643407 0.0
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"119119" "26377" 20223.817543754765 20223.812892643407 0.0
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"119120" "31154" 20151.333870374434 20151.332852823896 0.0
"119122" "31154" 20151.333870374434 20151.332852823896 0.0
"119123" "31154" 20151.333870374434 20151.332852823896 0.0
"119124" "31154" 20151.333870374434 20151.332852823896 0.0
"119125" "26377" 20223.817543754765 20223.812892643407 0.0
"119126" "31154" 20151.333870374434 20151.332852823896 0.0
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service_extends_far_in_the_future INFO 3

service_extends_far_in_the_future

A service end date is more than 2 years in the future.

You can see more about this notice here.

serviceId (?) The service_id that ends far in the future. serviceWindowEndDate (?) The end date of the service (YYYY-MM-DD format).
"1" "2099-12-31"
"2" "2099-12-27"
"3" "2099-12-26"
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"