nashville-metropolitan — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T12:00:53Z,
for the dataset file:///shared/nashville-metropolitan_30c73a90.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
GMV Syncromatics
Feed Email:
support@gmvsync.com
Feed Language:
English
Feed Start Date:
2026-05-03
Feed End Date:
N/A

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: 1
  • Blocks: 122
  • Routes: 24
  • Shapes: 50
  • Stops: 720
  • Trips: 3010

Specification Compliance report

357 notices reported (96 errors, 258 warnings, 3 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 96

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 96 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"20059" "7015118" 27745 0.0 3 27744 1675.068546503604 2
"20057" "7015118" 27680 0.0 3 27679 1675.068546503604 2
"20055" "7015118" 27615 0.0 3 27614 1675.068546503604 2
"20053" "7015118" 27550 0.0 3 27549 1675.068546503604 2
"20051" "7015118" 27485 0.0 3 27484 1675.068546503604 2
"20069" "7015118" 28070 0.0 3 28069 1675.068546503604 2
"20067" "7015118" 28005 0.0 3 28004 1675.068546503604 2
"20065" "7015118" 27940 0.0 3 27939 1675.068546503604 2
"20063" "7015118" 27875 0.0 3 27874 1675.068546503604 2
"20061" "7015118" 27810 0.0 3 27809 1675.068546503604 2
"20037" "7015118" 27030 0.0 3 27029 1675.068546503604 2
"20035" "7015118" 26965 0.0 3 26964 1675.068546503604 2
"20033" "7015118" 26900 0.0 3 26899 1675.068546503604 2
"20031" "7015118" 26835 0.0 3 26834 1675.068546503604 2
"20039" "7015118" 27095 0.0 3 27094 1675.068546503604 2
"20049" "7015118" 27420 0.0 3 27419 1675.068546503604 2
"20047" "7015118" 27355 0.0 3 27354 1675.068546503604 2
"20045" "7015118" 27290 0.0 3 27289 1675.068546503604 2
"20043" "7015118" 27225 0.0 3 27224 1675.068546503604 2
"20041" "7015118" 27160 0.0 3 27159 1675.068546503604 2
"20015" "7015118" 26315 0.0 3 26314 1675.068546503604 2
"20013" "7015118" 26250 0.0 3 26249 1675.068546503604 2
"20011" "7015118" 26185 0.0 3 26184 1675.068546503604 2
"20019" "7015118" 26445 0.0 3 26444 1675.068546503604 2
"20017" "7015118" 26380 0.0 3 26379 1675.068546503604 2
"20027" "7015118" 26705 0.0 3 26704 1675.068546503604 2
"20025" "7015118" 26640 0.0 3 26639 1675.068546503604 2
"20023" "7015118" 26575 0.0 3 26574 1675.068546503604 2
"20021" "7015118" 26510 0.0 3 26509 1675.068546503604 2
"20029" "7015118" 26770 0.0 3 26769 1675.068546503604 2
"20005" "7015118" 25990 0.0 3 25989 1675.068546503604 2
"20003" "7015118" 25925 0.0 3 25924 1675.068546503604 2
"20001" "7015118" 25860 0.0 3 25859 1675.068546503604 2
"20009" "7015118" 26120 0.0 3 26119 1675.068546503604 2
"20007" "7015118" 26055 0.0 3 26054 1675.068546503604 2
"20103" "7015118" 29169 0.0 3 29168 1675.068546503604 2
"20101" "7015118" 29104 0.0 3 29103 1675.068546503604 2
"20109" "7015118" 29364 0.0 3 29363 1675.068546503604 2
"20107" "7015118" 29299 0.0 3 29298 1675.068546503604 2
"20105" "7015118" 29234 0.0 3 29233 1675.068546503604 2
"20179" "7015118" 31633 0.0 3 31632 1675.068546503604 2
"20177" "7015118" 31568 0.0 3 31567 1675.068546503604 2
"20175" "7015118" 31503 0.0 3 31502 1675.068546503604 2
"20173" "7015118" 31438 0.0 3 31437 1675.068546503604 2
"20171" "7015118" 31373 0.0 3 31372 1675.068546503604 2
"20189" "7015118" 31830 0.0 3 31829 1675.068546503604 2
"20187" "7015118" 31797 0.0 3 31796 1675.068546503604 2
"20185" "7015118" 31764 0.0 3 31763 1675.068546503604 2
"20183" "7015118" 31731 0.0 3 31730 1675.068546503604 2
"20181" "7015118" 31698 0.0 3 31697 1675.068546503604 2
leading_or_trailing_whitespaces WARNING 58

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 58 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" 3 "stop_name" "MLK EB and Beaman St "
"stops.txt" 4 "stop_name" "Asheville Hwy EB after Allegheny Rd "
"stops.txt" 6 "stop_name" "Woodland Ave EB and Branner St "
"stops.txt" 10 "stop_name" "Border St SB and Brooks Ave "
"stops.txt" 11 "stop_name" "Locust St SB and Main St "
"stops.txt" 14 "stop_name" "Merchant Dr EB and Camelia Rd "
"stops.txt" 17 "stop_name" "Western Ave WB after Mynders Ave "
"stops.txt" 18 "stop_name" "Texas Ave NB and Fitz Dr "
"stops.txt" 21 "stop_name" "Asheville Hwy WB & Burns Rd (2936) "
"stops.txt" 22 "stop_name" "Target before Washington Pike (2939) "
"stops.txt" 26 "stop_name" "McConnell St SB and Bethel Ave (2940) "
"stops.txt" 28 "stop_name" "Coker Ave WB at Broadway (2942) "
"stops.txt" 36 "stop_name" "MLK EB after Kyle St (2948) "
"stops.txt" 37 "stop_name" "MLK WB and Kyle St (2949) "
"stops.txt" 44 "stop_name" "Woodland Ave EB after Central St (2956) "
"stops.txt" 48 "stop_name" "2955 - Old Callahan after Callahan Dr "
"stops.txt" 63 "stop_name" "Kingston Pike EB at Crescent Bend "
"stops.txt" 72 "stop_name" "Main St EB and City County Building "
"stops.txt" 117 "stop_name" "Summit Hill Dr EB before Lula Powell Dr "
"stops.txt" 158 "stop_name" "Middlebrook Pk EB and 3rd Creek "
"stops.txt" 208 "stop_name" "Sutherland Ave EB after Lebanon St "
"stops.txt" 211 "stop_name" "Sutherland Ave EB and Bearden Village Green Way "
"stops.txt" 218 "stop_name" "Middlebrook Pk EB and Weisgarber Rd "
"stops.txt" 421 "stop_name" "Brooks Ave WB at Sarah Moore Green "
"stops.txt" 456 "stop_name" "Gilbert Ln SB before Peachtree St "
"stops.txt" 477 "stop_name" "Sevier Ave EB and James McClung Ave "
"stops.txt" 494 "stop_name" "Chapman Hwy SB and the Henley Bridge "
"stops.txt" 506 "stop_name" "Chapman Hwy SB and Ford Valley Dr "
"stops.txt" 524 "stop_name" "Chapman Hwy NB and the Henley Bridge "
"stops.txt" 558 "stop_name" "Avenue A EB and Ellen St "
"stops.txt" 575 "stop_name" "Blount Ave NB and Donaldson St "
"stops.txt" 582 "stop_name" "Middlebrook Pk WB and Henson Rd "
"stops.txt" 583 "stop_name" "Middlebrook Pk WB and Weisgarber Rd "
"stops.txt" 601 "stop_name" "Middlebrook Pk EB and Henson Rd "
"stops.txt" 614 "stop_name" "University Park at Bldg 5 "
"stops.txt" 624 "stop_name" "Summit Hill WB past Gay St "
"stops.txt" 625 "stop_name" "Broadway NB and Jackson Ave "
"stops.txt" 626 "stop_name" "Broadway NB and Depot Ave "
"stops.txt" 627 "stop_name" "Broadway NB and 5th Ave "
"stops.txt" 628 "stop_name" "Broadway SB and Depot Ave "
"stops.txt" 629 "stop_name" "Broadway SB and Oak Ave "
"stops.txt" 630 "stop_name" "Summit Hill Dr EB and TVA Towers "
"stops.txt" 631 "stop_name" "University Ave WB after Boyd St "
"stops.txt" 644 "stop_name" "Skyline Dr WB after Beaman Lake "
"stops.txt" 652 "stop_name" "Boyds Bridge Pike EB after Biddle St "
"stops.txt" 655 "stop_name" "Kenner Ave EB after McConnell St "
"stops.txt" 664 "stop_name" "Gay St NB and Clinch Ave "
"stops.txt" 672 "stop_name" "Sixth Ave SB before Cecil Ave "
"stops.txt" 674 "stop_name" "Huron St NB and Emerald Ave "
"stops.txt" 693 "stop_name" "Western Ave EB at Food City "
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 1

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.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"routes.txt" "route_desc" "37-FULL OUTBD" 19
route_long_name_contains_short_name WARNING 20

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`.
"5558" 2 "10" "10 Sequoyah Hills"
"5559" 3 "11" "11 Sutherland/Kingston Pike"
"5560" 4 "12" "12 Western Avenue"
"5562" 5 "16" "16 Middlebrook/Cedar Bluff"
"5563" 6 "17" "17 Sutherland/Bearden"
"5565" 7 "20" "20 Central/Clinton Hwy"
"5567" 8 "22" "22 Broadway"
"5568" 9 "23" "23 Millertown"
"5569" 10 "24" "24 Lincoln Park/Inskip"
"5571" 11 "31" "31 Magnolia Avenue"
"5572" 12 "32" "32 Dandridge Avenue"
"5574" 13 "34" "34 Burlington Shopper"
"5575" 14 "40" "40 South Knoxville"
"5576" 15 "41" "41 Chapman Highway"
"5577" 16 "42" "42 Fort Sanders/UT Medical Centers"
"5578" 17 "44" "44 University Park Apts."
"5579" 18 "45" "45 Vestal"
"6320" 19 "37" "37 Morningside/Riverside"
"6346" 20 "1" "1-Downtown Connector"
"6347" 21 "15" "15 - Woodland Crosstown"
route_short_name_too_long WARNING 1

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`.
"6778" 22 "CHP Patron Shuttle"
same_name_and_description_for_route WARNING 11

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`.
4 "5560" "12 Western Avenue" "route_long_name"
6 "5563" "17 Sutherland/Bearden" "route_long_name"
8 "5567" "22 Broadway" "route_long_name"
9 "5568" "23 Millertown" "route_long_name"
11 "5571" "31 Magnolia Avenue" "route_long_name"
12 "5572" "32 Dandridge Avenue" "route_long_name"
14 "5575" "40 South Knoxville" "route_long_name"
15 "5576" "41 Chapman Highway" "route_long_name"
16 "5577" "42 Fort Sanders/UT Medical Centers" "route_long_name"
18 "5579" "45 Vestal" "route_long_name"
22 "6778" "Covenant Health Park Patron Shuttle" "route_long_name"
stop_without_stop_time WARNING 5

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.
6 "10555001" "Woodland Ave EB and Branner St"
9 "10556218" "Pershing St SB after Atlantic Ave"
10 "10571889" "Border St SB and Brooks Ave"
44 "11541106" "Woodland Ave EB after Central St (2956)"
711 "9434245" "Middlebrook Pk WB and 3rd Creek Rd"
trip_distance_exceeds_shape_distance_below_threshold WARNING 160

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 160 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.
"15003" "29451" 19487.862414869265 19487.85313854212 0.0
"15005" "29451" 19487.862414869265 19487.85313854212 0.0
"15007" "29451" 19487.862414869265 19487.85313854212 0.0
"15009" "29451" 19487.862414869265 19487.85313854212 0.0
"15011" "29451" 19487.862414869265 19487.85313854212 0.0
"15013" "29451" 19487.862414869265 19487.85313854212 0.0
"15015" "29451" 19487.862414869265 19487.85313854212 0.0
"15017" "29451" 19487.862414869265 19487.85313854212 0.0
"15019" "29451" 19487.862414869265 19487.85313854212 0.0
"15021" "29451" 19487.862414869265 19487.85313854212 0.0
"15023" "29451" 19487.862414869265 19487.85313854212 0.0
"15025" "29451" 19487.862414869265 19487.85313854212 0.0
"15027" "29451" 19487.862414869265 19487.85313854212 0.0
"15029" "29451" 19487.862414869265 19487.85313854212 0.0
"15031" "29451" 19487.862414869265 19487.85313854212 0.0
"15033" "29451" 19487.862414869265 19487.85313854212 0.0
"15035" "29451" 19487.862414869265 19487.85313854212 0.0
"15037" "29451" 19487.862414869265 19487.85313854212 0.0
"15039" "29451" 19487.862414869265 19487.85313854212 0.0
"15041" "29451" 19487.862414869265 19487.85313854212 0.0
"15043" "29451" 19487.862414869265 19487.85313854212 0.0
"15045" "29451" 19487.862414869265 19487.85313854212 0.0
"15047" "29451" 19487.862414869265 19487.85313854212 0.0
"15049" "29451" 19487.862414869265 19487.85313854212 0.0
"15051" "29451" 19487.862414869265 19487.85313854212 0.0
"15053" "29451" 19487.862414869265 19487.85313854212 0.0
"15055" "29451" 19487.862414869265 19487.85313854212 0.0
"15057" "29451" 19487.862414869265 19487.85313854212 0.0
"15059" "29451" 19487.862414869265 19487.85313854212 0.0
"15061" "29451" 19487.862414869265 19487.85313854212 0.0
"15063" "29451" 19487.862414869265 19487.85313854212 0.0
"15065" "29451" 19487.862414869265 19487.85313854212 0.0
"15067" "29451" 19487.862414869265 19487.85313854212 0.0
"15069" "29451" 19487.862414869265 19487.85313854212 0.0
"15071" "29451" 19487.862414869265 19487.85313854212 0.0
"15073" "29451" 19487.862414869265 19487.85313854212 0.0
"15075" "29451" 19487.862414869265 19487.85313854212 0.0
"15077" "29451" 19487.862414869265 19487.85313854212 0.0
"15079" "29451" 19487.862414869265 19487.85313854212 0.0
"15081" "29451" 19487.862414869265 19487.85313854212 0.0
"15083" "29451" 19487.862414869265 19487.85313854212 0.0
"15085" "29451" 19487.862414869265 19487.85313854212 0.0
"15087" "29451" 19487.862414869265 19487.85313854212 0.0
"15089" "29451" 19487.862414869265 19487.85313854212 0.0
"15091" "29451" 19487.862414869265 19487.85313854212 0.0
"15093" "29451" 19487.862414869265 19487.85313854212 0.0
"15095" "29451" 19487.862414869265 19487.85313854212 0.0
"15097" "29451" 19487.862414869265 19487.85313854212 0.0
"15099" "29451" 19487.862414869265 19487.85313854212 0.0
"15101" "29451" 19487.862414869265 19487.85313854212 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"