GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T17:33:34Z,
for the dataset file:///shared/monroe-bus-lines.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. datatools_patterns.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts

  • Agencies: 0
  • Blocks: 0
  • Routes: 15
  • Shapes: 26
  • Stops: 57
  • Trips: 77

Specification Compliance report

1190 notices reported (0 errors, 1187 warnings, 3 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 1

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.
38 "7c7d6fa0-3160-4257-8c6f-e76e9817a09c" "2" 240.33517266205808 8.011172422068602 623 17 "w1qn" "Bedford Ave" "11:38:00" 624 18 "rj1b" "50th St & 11th Ave Drop Off" "11:39:00"
missing_recommended_field WARNING 16

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.
"agency.txt" 2 "agency_id"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 1163

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 1163 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 0
3 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 1
4 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 2
5 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 3
6 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 4
7 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 5
8 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 6
9 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 7
10 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 8
11 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 9
12 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 10
13 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 11
14 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 12
15 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 13
16 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 14
17 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 15
18 "ee4ccc90-c9fc-4dd3-8341-9f34e9485f4b" 16
19 "29bf998e-babf-4a40-a05a-991839a0e585" 0
20 "29bf998e-babf-4a40-a05a-991839a0e585" 1
21 "29bf998e-babf-4a40-a05a-991839a0e585" 2
22 "29bf998e-babf-4a40-a05a-991839a0e585" 3
23 "29bf998e-babf-4a40-a05a-991839a0e585" 4
24 "29bf998e-babf-4a40-a05a-991839a0e585" 5
25 "29bf998e-babf-4a40-a05a-991839a0e585" 6
26 "29bf998e-babf-4a40-a05a-991839a0e585" 7
27 "29bf998e-babf-4a40-a05a-991839a0e585" 8
28 "29bf998e-babf-4a40-a05a-991839a0e585" 9
29 "29bf998e-babf-4a40-a05a-991839a0e585" 10
30 "29bf998e-babf-4a40-a05a-991839a0e585" 11
31 "29bf998e-babf-4a40-a05a-991839a0e585" 12
32 "29bf998e-babf-4a40-a05a-991839a0e585" 13
33 "29bf998e-babf-4a40-a05a-991839a0e585" 14
34 "29bf998e-babf-4a40-a05a-991839a0e585" 15
35 "29bf998e-babf-4a40-a05a-991839a0e585" 16
36 "29bf998e-babf-4a40-a05a-991839a0e585" 17
37 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 0
38 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 1
39 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 2
40 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 3
41 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 4
42 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 5
43 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 6
44 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 7
45 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 8
46 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 9
47 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 10
48 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 11
49 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 12
50 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 13
51 "cc9b3838-f9db-490e-ac8f-d9ffe949b68c" 14
route_long_name_contains_short_name WARNING 6

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`.
"2" 2 "2" "2"
"1" 3 "1" "1"
"4" 4 "4" "4"
"yebe" 6 "8" "8"
"tzg7" 8 "6-7" "6-7"
"3" 10 "3" "3"
unknown_column INFO 2

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"agency.txt" "agency_branding_url" 7
"routes.txt" "route_branding_url" 8
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"datatools_patterns.txt"