GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-13T10:50:45Z,
for the dataset file:///shared/syncromatics-mct.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:
2025-10-11
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: 141
  • Routes: 25
  • Shapes: 123
  • Stops: 1325
  • Trips: 1625

Specification Compliance report

3289 notices reported (0 errors, 3286 warnings, 3 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 1063

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 1063 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`.
"25466" 16303 301.42419004077766 8 16302 301.42419004077766 7
"25466" 16312 750.2243979764953 17 16311 750.2243979764953 16
"25466" 16322 1174.621536927713 27 16321 1174.621536927713 26
"25466" 16326 1397.1565969749504 31 16325 1397.1565969749504 30
"25466" 16333 2416.9242448090654 38 16332 2416.9242448090654 37
"25466" 16340 2796.882949291055 45 16339 2796.882949291055 44
"25466" 16362 3858.5955621398202 67 16361 3858.5955621398202 66
"25466" 16375 4254.54511674833 80 16374 4254.54511674833 79
"25466" 16384 4582.604233192501 89 16383 4582.604233192501 88
"25466" 16403 5415.134612637836 108 16402 5415.134612637836 107
"25466" 16439 7105.077352246818 144 16438 7105.077352246818 143
"26833" 40153 16877.48551951275 170 40152 16877.48551951275 169
"26833" 40154 16877.48551951275 171 40153 16877.48551951275 170
"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" 27898 301.42419004077766 8 27897 301.42419004077766 7
"25912" 27907 750.2243979764953 17 27906 750.2243979764953 16
"25912" 27917 1174.621536927713 27 27916 1174.621536927713 26
"25912" 27921 1397.1565969749504 31 27920 1397.1565969749504 30
"25912" 27928 2416.9242448090654 38 27927 2416.9242448090654 37
leading_or_trailing_whitespaces WARNING 7

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" 59 "stop_name" "Humbert Rd & Union School Rd N / E "
"stops.txt" 76 "stop_name" "IL 159 & Professional Park Dr S / W "
"stops.txt" 77 "stop_name" "5th St & Canal St NE "
"stops.txt" 79 "stop_name" "6th St & Short St NE "
"stops.txt" 80 "stop_name" "6th St & Short St SW "
"stops.txt" 82 "stop_name" "5th St & Canal St SW "
"routes.txt" 23 "route_long_name" "20X Gateway Commerce Center Express 081025 "
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 1628

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 1628 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" 578
"stops.txt" "stop_name" "IL 162 & IL 159 SW" 965
"stops.txt" "stop_name" "IL 162 & IL 159" 989
"stops.txt" "stop_name" "GCC WTT" 1236
"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 ALTON" 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" "1 TO GRANITE CITY" 28
"trips.txt" "trip_headsign" "1 TO GRANITE CITY" 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 19

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"
"6543" 14 "15" "15 East Collinsville Shuttle"
"6544" 15 "16" "16 Edwardsville - Glen Carbon Shuttle"
"6545" 16 "18" "18 Collinsville Regional"
"6546" 17 "19" "19 Edwardsville - Collinsville"
"6548" 18 "21" "21 West Collinsville Shuttle"
"6550" 20 "13X" "13X Highland - SIUE Express"
"6551" 21 "14X" "14X Highland Express"
"6552" 22 "16X" "16X Edwardsville - Glen Carbon Express"
"6553" 23 "20X" "20X Gateway Commerce Center Express 081025"
"6554" 24 "17" "17 Cougar Shuttle"
"6555" 25 "22" "22 University Shuttle"
"6810" 26 "23" "23 Logistics Valley Shuttle Post Construction OCT 2025"
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 186

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 186 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.
1139 "26830" "2_41011" 50431 "9970219" "Lewis & Clark Community College" [38.95202670935301,-90.19211926661558] 173.87321884114502
1139 "26830" "2_41011" 50432 "9970220" "Godfrey Rd & Pearl St NE" [38.953659605236986,-90.1907940371922] 327.555985541302
1139 "26830" "2_41011" 50433 "9970221" "Godfrey Rd DG NE" [38.95945256386772,-90.1910889296617] 331.29285807338465
1139 "26830" "2_41011" 50434 "9970223" "Godfrey Walmart 2" [38.96516441187355,-90.1937302495788] 174.48816265183612
1139 "26830" "2_41011" 50435 "9970224" "Godfrey Rd DG SW" [38.96477526920091,-90.19306128862854] 301.3969670697583
1139 "26830" "2_41011" 50436 "9970225" "Godfrey Rd & Pearl St SW" [38.96178467310566,-90.19169097961193] 330.0399472944759
1139 "26830" "2_41011" 50437 "9970226" "Lewis & Clark Community College 2" [38.953900791835046,-90.19079204364395] 238.01870317356185
1139 "26830" "2_41011" 50438 "9970227" "Godfrey Park & Ride SW" [38.95361141642605,-90.19184503112723] 243.45255847705556
1139 "26830" "2_41011" 50439 "9970228" "Tolle Ln and US Hwy 67 SW 2" [38.952641713424434,-90.19080493274956] 240.35912160074292
1139 "26830" "2_41011" 50440 "9970229" "Tolle Ln. at Greenleaf Ave. SW 2" [38.95088902334077,-90.18809891899626] 329.2519408995086
1139 "26830" "2_41011" 50441 "9970230" "Alby Rd & Lakeside Dr SW" [38.94472565677173,-90.17899257056658] 245.2831501628595
1139 "26830" "2_41011" 50442 "10575144" "Alton Area Animal Aid Association" [38.933424007119996,-90.17973263333238] 329.2757164641405
1139 "26830" "2_41011" 50443 "9961370" "Alton Square Mall" [38.92562389331768,-90.1782108172522] 243.5952631669884
1139 "26830" "2_41011" 50444 "9961371" "Alton Red Lobster SW" [38.922467484448646,-90.17651634575097] 265.53747204335133
1139 "26830" "2_41011" 50445 "9961372" "Delmar Ave & Center Dr SW" [38.9212293266996,-90.17467927667396] 290.18433782018457
1139 "26830" "2_41011" 50446 "9958486" "Alton Multimodal Regional Transportation Center" [38.91994488583492,-90.16070195708593] 259.420590112325
1155 "26831" "2_410210" 50985 "9970219" "Lewis & Clark Community College" [38.952058501301565,-90.19220915991414] 175.15584211819038
1155 "26831" "2_410210" 50986 "9970220" "Godfrey Rd & Pearl St NE" [38.95364999606986,-90.1909106780155] 329.08637370924066
1155 "26831" "2_410210" 50987 "9970221" "Godfrey Rd DG NE" [38.959368637878725,-90.19106705425388] 340.80942001164027
1155 "26831" "2_410210" 50988 "9970223" "Godfrey Walmart 2" [38.9650122160564,-90.19369073864983] 173.4793334246299
1155 "26831" "2_410210" 50989 "9970224" "Godfrey Rd DG SW" [38.96474564462826,-90.19318742151366] 301.99006271403914
1155 "26831" "2_410210" 50990 "9970225" "Godfrey Rd & Pearl St SW" [38.961884984571135,-90.19171999571896] 341.45544431038473
1155 "26831" "2_410210" 50991 "9972947" "Godfrey Rd & Grace St SW" [38.960432628442824,-90.1913480273098] 335.95754029477877
1155 "26831" "2_410210" 50992 "9970226" "Lewis & Clark Community College 2" [38.953877402674834,-90.19077247075464] 236.58676772502733
1155 "26831" "2_410210" 50993 "9972948" "Godfrey Rd & Stamper La SW" [38.95080840768899,-90.19080430764186] 341.84412360808483
1155 "26831" "2_410210" 50994 "9972949" "Godfrey Rd & Celesta St SW" [38.94403277702251,-90.19086965278994] 339.41092272226496
1155 "26831" "2_410210" 50995 "9972950" "Godfrey Rd & Pleasant Valley Dr SW" [38.93267468504833,-90.19194357909288] 339.7106701592464
1155 "26831" "2_410210" 50996 "9961361" "Godfrey Schnucks" [38.924975162153316,-90.19138913965885] 250.38955088119448
1155 "26831" "2_410210" 50997 "9963069" "State St & Delmar Ave SW" [38.923142278703075,-90.19338413628189] 212.63387435482048
1155 "26831" "2_410210" 50998 "9972951" "State St & Elm St SW" [38.92313908778421,-90.19203269686834] 316.109143487401
1155 "26831" "2_410210" 50999 "9972952" "Belle St & Rozier St SW" [38.92124921030276,-90.19213637341548] 332.8843249652835
1155 "26831" "2_410210" 51000 "9972953" "Belle St & Hawthorne Blvd SW" [38.91868709324687,-90.19248069191573] 341.0315512246784
1155 "26831" "2_410210" 51001 "9972954" "MItchell St & Paul St SW" [38.916125199376715,-90.19098899101382] 298.08278690162734
1155 "26831" "2_410210" 51002 "9972955" "MItchell St & State St SW" [38.91285717291597,-90.19140554900042] 332.45073700899826
1155 "26831" "2_410210" 51003 "9972956" "State St & MIller St SW" [38.91281000005639,-90.19361326454113] 259.53521035597873
1155 "26831" "2_410210" 51004 "9972957" "State St & McKinley Blvd SW" [38.91278554622088,-90.19568439203731] 333.23991901758325
1155 "26831" "2_410210" 51005 "9972958" "State St & Douglas St SW" [38.91146831295681,-90.19621580386797] 341.6462249433647
1155 "26831" "2_410210" 51006 "9972959" "State St & Danforth St SW" [38.91036643614917,-90.19618] 332.3168427738858
1155 "26831" "2_410210" 51007 "9972960" "9th St & Jefferson Ave SW" [38.908194505395585,-90.19597744030315] 341.3202732763908
1155 "26831" "2_410210" 51008 "9972961" "State St & Madison St SW" [38.90687708534231,-90.19520690558356] 340.0502862269044
1155 "26831" "2_410210" 51009 "9972962" "9th St & State St SW" [38.905161141845426,-90.19421343904219] 340.34576471705407
1155 "26831" "2_410210" 51010 "9972963" "9th St & Coppinger SW" [38.902773932845285,-90.19285529429763] 341.4805308331174
1155 "26831" "2_410210" 51011 "9972964" "9th St & Bluff St SW" [38.90085434117385,-90.19144500610452] 341.77567002350366
1155 "26831" "2_410210" 51012 "9972965" "9th St & Hamilton St SW" [38.89962490526008,-90.19046575437075] 342.4282161690062
1155 "26831" "2_410210" 51013 "9972966" "Belle St & 9th St SW" [38.89852608065399,-90.18950472886486] 331.5356144798766
1155 "26831" "2_410210" 51014 "9939460" "Alton Station" [38.89631061594086,-90.18685873627629] 243.0830851278124
1140 "26834" "2_410110" 50469 "9970219" "Lewis & Clark Community College" [38.95202670935301,-90.19211926661558] 173.87321884114502
1140 "26834" "2_410110" 50470 "9970220" "Godfrey Rd & Pearl St NE" [38.953659605236986,-90.1907940371922] 327.555985541302
1140 "26834" "2_410110" 50471 "9970221" "Godfrey Rd DG NE" [38.95945256386772,-90.1910889296617] 331.29285807338465
1140 "26834" "2_410110" 50472 "9970223" "Godfrey Walmart 2" [38.96516441187355,-90.1937302495788] 174.488162651839
stop_without_stop_time WARNING 40

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.
216 "9944357" "Victory Dr & Myrtle Ave NE"
458 "9952965" "Canal St & 3rd St NE"
489 "9954348" "Canal St & 3rd St SW"
547 "9956517" "Ferguson Ave & 2nd St NE"
685 "9961362" "D'Adrian Professional Park"
978 "9979319" "Main St & Clay St NE"
1015 "9982790" "Church St & Morrison Ave SW"
1016 "9982791" "Braner Bldg SW"
1017 "9982792" "Clay St & Chestnut St SW"
1018 "9982793" "Clay St & IL 159 SW"
1019 "9982794" "Center St & Madison Ave NE"
1020 "9982795" "Washington Ave & Morrison Ave NE"
1021 "9982796" "Park Ave & Juda Ave NE"
1022 "9982797" "Keebler Rd & Holloway Dr NE"
1023 "9982798" "Keebler Rd & Bissell Ave NE"
1024 "9982799" "Keebler Rd & Kneedler Ave NE"
1025 "9982800" "Collinsville Walmart Marketplace NE"
1026 "9982801" "Collinsville Kohls"
1027 "9982802" "Lakeside Plaza"
1028 "9982803" "Olive St & Claremont Ct NE"
1029 "9982804" "Olive St & Madison Co Housing NE"
1030 "9982805" "Woodland Towers"
1031 "9982806" "Collinsville CVS"
1032 "9982807" "Orchard Plaza Ruler Food"
1033 "9983170" "Collinsville Aldi"
1034 "9983171" "Olive St & Madison Co Housing SW"
1035 "9983172" "Olive St & Claremont Ct SW"
1036 "9983173" "Beltline Rd & Golfview Dr SW"
1037 "9983174" "Keebler Rd & Beltline SW"
1038 "9983175" "Keebler Rd & Kneedler Ave SW"
1039 "9983176" "Keebler Rd & Bissell Ave SW"
1040 "9983177" "Keebler Rd & Holloway SW"
1041 "9983178" "Park Ave & Juda Ave SW"
1042 "9983179" "Washington Ave & Morrison Ave SW"
1043 "9983180" "Morrison Ave & Madison Ave SW"
1044 "9983181" "Morrison Ave & Johnson St SW"
1045 "9983182" "Center Dr & Clay St SW"
1285 "9996300" "IL 157 & Dairy Queen"
1286 "9996301" "Leisure World"
1287 "9996302" "Collinsport Dr & Easport Plaza Dr"
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.
"0_60211" "25843" 24773.343408083987 24772.905237714476 0.0
"0_602110" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60212" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60213" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60214" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60215" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60216" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60217" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60218" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60219" "25843" 24773.343408083987 24772.905237714476 0.0
"0_60221" "25845" 20902.611359898037 20902.611359898034 0.0
"0_602210" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60222" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60223" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60224" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60225" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60226" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60227" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60228" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60229" "25845" 20902.611359898037 20902.611359898034 0.0
"0_60411" "25847" 32464.379370298724 32464.267282905523 0.0
"0_60412" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60413" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60414" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60415" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60416" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60417" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60418" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60419" "25368" 41450.16700197883 41450.01336878495 0.0
"0_60421" "25855" 23505.391731256557 23505.391731256554 0.0
"0_604210" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60422" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60423" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60424" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60425" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60426" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60427" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60428" "25369" 41762.447680121586 41762.389518058924 0.0
"0_60429" "25369" 41762.447680121586 41762.389518058924 0.0
"0_609210" "25765" 17850.29529469216 17848.28694156574 0.0
"0_609211" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60922" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60923" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60924" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60925" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60926" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60927" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60928" "25765" 17850.29529469216 17848.28694156574 0.0
"0_60929" "25765" 17850.29529469216 17848.28694156574 0.0
"0_61111" "25408" 14287.086156875403 14283.078294969839 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"