GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T15:37:59Z,
for the dataset file:///shared/syncromatics-basin-transit_7b9f1cf1.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:
2026-01-14
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: 27
  • Routes: 9
  • Shapes: 17
  • Stops: 177
  • Trips: 128

Specification Compliance report

151 notices reported (11 errors, 137 warnings, 3 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 11

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.

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`.
"6112525" "10236654" 579 1700.4423096448927 35 578 23508.580531021576 34
"6112524" "10236654" 541 1700.4423096448927 35 540 23508.580531021576 34
"6112523" "10236654" 503 1700.4423096448927 35 502 23508.580531021576 34
"6112522" "10236654" 465 1700.4423096448927 35 464 23508.580531021576 34
"6112620" "10236654" 3472 1700.4423096448927 35 3471 23508.580531021576 34
"6112621" "10236654" 3510 1700.4423096448927 35 3509 23508.580531021576 34
"6112619" "10236654" 3434 1700.4423096448927 35 3433 23508.580531021576 34
"6112575" "10236654" 1965 1700.4423096448927 35 1964 23508.580531021576 34
"6112574" "10236654" 1927 1700.4423096448927 35 1926 23508.580531021576 34
"6112576" "10236654" 2003 1700.4423096448927 35 2002 23508.580531021576 34
"6112606" "10236654" 2893 1700.4423096448927 35 2892 23508.580531021576 34
fast_travel_between_consecutive_stops WARNING 29

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
61 "6112570" "6588" 226.9767240453008 0.4413436300880849 1768 20 "10236728" "Hwy 62 & Indian Cove" "08:33:00" 1769 21 "10236729" "Hwy 62 & Monte Vista" "08:33:07"
64 "6112573" "6588" 226.9767240453008 0.4413436300880849 1876 20 "10236728" "Hwy 62 & Indian Cove" "11:33:00" 1877 21 "10236729" "Hwy 62 & Monte Vista" "11:33:07"
127 "6116403" "6593" 239.95985162260462 23.99598516226046 3873 6 "10236658" "Hwy 62 & Park Blvd" "20:29:00" 3874 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "20:34:00"
72 "6112581" "6588" 226.9767240453008 0.4413436300880849 2170 20 "10236728" "Hwy 62 & Indian Cove" "16:33:00" 2171 21 "10236729" "Hwy 62 & Monte Vista" "16:33:07"
73 "6112582" "6588" 226.9767240453008 0.4413436300880849 2206 20 "10236728" "Hwy 62 & Indian Cove" "17:33:00" 2207 21 "10236729" "Hwy 62 & Monte Vista" "17:33:07"
70 "6112579" "6588" 226.9767240453008 0.4413436300880849 2098 20 "10236728" "Hwy 62 & Indian Cove" "14:33:00" 2099 21 "10236729" "Hwy 62 & Monte Vista" "14:33:07"
31 "6112537" "6588" 176.53745203523397 0.4413436300880849 879 39 "10236728" "Hwy 62 & Indian Cove" "16:00:00" 880 40 "10236729" "Hwy 62 & Monte Vista" "16:00:09"
39 "6112545" "6593" 239.95985162260462 23.99598516226046 1181 6 "10236658" "Hwy 62 & Park Blvd" "13:29:00" 1182 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "13:34:00"
29 "6112535" "6588" 176.53745203523397 0.4413436300880849 746 40 "10236728" "Hwy 62 & Indian Cove" "18:48:00" 747 41 "10236729" "Hwy 62 & Monte Vista" "18:48:09"
118 "6112630" "6588" 176.53745203523397 0.4413436300880849 3681 40 "10236728" "Hwy 62 & Indian Cove" "12:29:00" 3682 41 "10236729" "Hwy 62 & Monte Vista" "12:29:09"
69 "6112578" "6588" 226.9767240453008 0.4413436300880849 2062 20 "10236728" "Hwy 62 & Indian Cove" "13:33:00" 2063 21 "10236729" "Hwy 62 & Monte Vista" "13:33:07"
63 "6112572" "6588" 226.9767240453008 0.4413436300880849 1840 20 "10236728" "Hwy 62 & Indian Cove" "10:33:00" 1841 21 "10236729" "Hwy 62 & Monte Vista" "10:33:07"
90 "6112600" "6588" 176.53745203523397 0.4413436300880849 2670 39 "10236728" "Hwy 62 & Indian Cove" "06:32:00" 2671 40 "10236729" "Hwy 62 & Monte Vista" "06:32:09"
21 "6112527" "6593" 239.95985162260462 23.99598516226046 594 6 "10236658" "Hwy 62 & Park Blvd" "20:19:00" 595 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "20:24:00"
30 "6112536" "6588" 176.53745203523397 0.4413436300880849 813 39 "10236728" "Hwy 62 & Indian Cove" "11:10:00" 814 40 "10236729" "Hwy 62 & Monte Vista" "11:10:09"
103 "6112613" "6588" 176.53745203523397 0.4413436300880849 3296 40 "10236728" "Hwy 62 & Indian Cove" "18:29:00" 3297 41 "10236729" "Hwy 62 & Monte Vista" "18:29:09"
68 "6112577" "6588" 226.9767240453008 0.4413436300880849 2026 20 "10236728" "Hwy 62 & Indian Cove" "12:33:00" 2027 21 "10236729" "Hwy 62 & Monte Vista" "12:33:07"
99 "6112609" "6588" 176.53745203523397 0.4413436300880849 3056 40 "10236728" "Hwy 62 & Indian Cove" "13:29:00" 3057 41 "10236729" "Hwy 62 & Monte Vista" "13:29:09"
62 "6112571" "6588" 226.9767240453008 0.4413436300880849 1804 20 "10236728" "Hwy 62 & Indian Cove" "09:33:00" 1805 21 "10236729" "Hwy 62 & Monte Vista" "09:33:07"
60 "6112569" "6588" 226.9767240453008 0.4413436300880849 1732 20 "10236728" "Hwy 62 & Indian Cove" "07:33:00" 1733 21 "10236729" "Hwy 62 & Monte Vista" "07:33:07"
116 "6112628" "6588" 176.53745203523397 0.4413436300880849 3561 40 "10236728" "Hwy 62 & Indian Cove" "09:29:00" 3562 41 "10236729" "Hwy 62 & Monte Vista" "09:29:09"
126 "6116402" "6593" 239.95985162260462 23.99598516226046 3863 6 "10236658" "Hwy 62 & Park Blvd" "15:29:00" 3864 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "15:34:00"
52 "6112560" "6593" 239.95985162260462 23.99598516226046 1522 6 "10236658" "Hwy 62 & Park Blvd" "18:29:00" 1523 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "18:34:00"
71 "6112580" "6588" 226.9767240453008 0.4413436300880849 2134 20 "10236728" "Hwy 62 & Indian Cove" "15:33:00" 2135 21 "10236729" "Hwy 62 & Monte Vista" "15:33:07"
2 "6112508" "6588" 176.53745203523397 0.4413436300880849 42 40 "10236728" "Hwy 62 & Indian Cove" "21:32:00" 43 41 "10236729" "Hwy 62 & Monte Vista" "21:32:09"
92 "6112602" "6588" 176.53745203523397 0.4413436300880849 2778 40 "10236728" "Hwy 62 & Indian Cove" "20:21:00" 2779 41 "10236729" "Hwy 62 & Monte Vista" "20:21:09"
97 "6112607" "6588" 176.53745203523397 0.4413436300880849 2936 40 "10236728" "Hwy 62 & Indian Cove" "10:29:00" 2937 41 "10236729" "Hwy 62 & Monte Vista" "10:29:09"
101 "6112611" "6588" 176.53745203523397 0.4413436300880849 3176 40 "10236728" "Hwy 62 & Indian Cove" "15:29:00" 3177 41 "10236729" "Hwy 62 & Monte Vista" "15:29:09"
55 "6112564" "6588" 176.53745203523397 0.4413436300880849 1608 40 "10236728" "Hwy 62 & Indian Cove" "16:29:00" 1609 41 "10236729" "Hwy 62 & Monte Vista" "16:29:09"
fast_travel_between_far_stops WARNING 5

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
127 "6116403" "6593" 239.95985162260462 23.99598516226046 3873 6 "10236658" "Hwy 62 & Park Blvd" "20:29:00" 3874 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "20:34:00"
39 "6112545" "6593" 239.95985162260462 23.99598516226046 1181 6 "10236658" "Hwy 62 & Park Blvd" "13:29:00" 1182 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "13:34:00"
21 "6112527" "6593" 239.95985162260462 23.99598516226046 594 6 "10236658" "Hwy 62 & Park Blvd" "20:19:00" 595 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "20:24:00"
126 "6116402" "6593" 239.95985162260462 23.99598516226046 3863 6 "10236658" "Hwy 62 & Park Blvd" "15:29:00" 3864 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "15:34:00"
52 "6112560" "6593" 239.95985162260462 23.99598516226046 1522 6 "10236658" "Hwy 62 & Park Blvd" "18:29:00" 1523 7 "10228737" "29 Palms Transit Center (Adobe & Cactus)" "18:34:00"
leading_or_trailing_whitespaces WARNING 4

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" 87 "stop_name" "Hwy 62 & Sage "
"stops.txt" 151 "stop_name" "Hwy 62 & Balsa "
"routes.txt" 3 "route_long_name" "3A Twentynine Palms Marine Base "
"routes.txt" 4 "route_long_name" "3B Twentynine Palms "
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 83

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 83 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_headsign" "HWY 29 PALMS" 2
"trips.txt" "trip_headsign" "29 PALMS / BASE" 3
"trips.txt" "trip_headsign" "29 PALMS / BASE" 4
"trips.txt" "trip_headsign" "29 PALMS / BASE" 5
"trips.txt" "trip_headsign" "29 PALMS / BASE" 6
"trips.txt" "trip_headsign" "29 PALMS / BASE" 7
"trips.txt" "trip_headsign" "29 PALMS / BASE" 8
"trips.txt" "trip_headsign" "29 PALMS / BASE" 9
"trips.txt" "trip_headsign" "29 PALMS / BASE" 10
"trips.txt" "trip_headsign" "29 PALMS / BASE" 11
"trips.txt" "trip_headsign" "29 PALMS / BASE" 12
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 13
"trips.txt" "trip_headsign" "29 PALMS / BASE" 14
"trips.txt" "trip_headsign" "29 PALMS / BASE" 15
"trips.txt" "trip_headsign" "PALM SPRINGS" 20
"trips.txt" "trip_headsign" "HWY 29 PALMS" 29
"trips.txt" "trip_headsign" "HWY 29 PALMS" 30
"trips.txt" "trip_headsign" "HWY 29 PALMS" 31
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 32
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 33
"trips.txt" "trip_headsign" "YV SOUTH" 34
"trips.txt" "trip_headsign" "YV SOUTH" 35
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 36
"trips.txt" "trip_headsign" "YV SOUTH" 37
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 38
"trips.txt" "trip_headsign" "29 PALMS / BASE" 42
"trips.txt" "trip_headsign" "29 PALMS / BASE" 43
"trips.txt" "trip_headsign" "29 PALMS / BASE" 44
"trips.txt" "trip_headsign" "29 PALMS / BASE" 45
"trips.txt" "trip_headsign" "29 PALMS / BASE" 46
"trips.txt" "trip_headsign" "29 PALMS / BASE" 47
"trips.txt" "trip_headsign" "29 PALMS / BASE" 48
"trips.txt" "trip_headsign" "29 PALMS / BASE" 49
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 50
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 51
"trips.txt" "trip_headsign" "YV SOUTH" 53
"trips.txt" "trip_headsign" "YV SOUTH" 54
"trips.txt" "trip_headsign" "HWY 29 PALMS" 55
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 56
"trips.txt" "trip_headsign" "YUCCA VALLEY" 57
"trips.txt" "trip_headsign" "YUCCA VALLEY" 58
"trips.txt" "trip_headsign" "YUCCA VALLEY" 59
"trips.txt" "trip_headsign" "HWY 29 PALMS" 73
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 74
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 75
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 76
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 77
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 78
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 79
"trips.txt" "trip_headsign" "HWY YUCCA VALLEY" 80
route_long_name_contains_short_name WARNING 8

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`.
"6588" 2 "1" "1 Yucca Valley - Twentynine Palms"
"6589" 3 "3A" "3A Twentynine Palms Marine Base"
"6590" 4 "3B" "3B Twentynine Palms"
"6591" 5 "7A" "7A Yucca Valley North"
"6593" 6 "15" "15 Yucca Valley/Palm Springs MCAGCC Airport"
"6594" 7 "7B" "7B Yucca Valley South"
"6595" 8 "12" "12 Yucca Valley - Palm Springs"
"6596" 9 "21" "21 Landers Loop"
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`.
10 "6646" "Ready Ride" "route_long_name"
same_route_and_agency_url WARNING 1

same_route_and_agency_url

Same routes.route_url and agency.agency_url.

A route should not have the same routes.route_url as a record from agency.txt.

You can see more about this notice here.

routeCsvRowNumber (?) The row number of the faulty record from `routes.txt`. routeId (?) The faulty record's id. agencyName (?) The faulty record's referenced agency name. routeUrl (?) The duplicate URL value agencyCsvRowNumber (?) The row number of the faulty record from `agency.txt`.
7 "6594" "MORONGO" "https://basin-transit.com/" 2
stop_too_far_from_shape_using_user_distance WARNING 1

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.
16 "29662" "6112522" 465 "10236654" "Hwy 62 & Warren Vista" [34.12468,-116.409782] 368.1551283194491
stop_without_stop_time WARNING 3

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.
144 "10290661" "Lupine & Two Mile"
160 "10291639" "Walmart"
164 "10291785" "Hwy 62 & Senillis"
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"