beemob — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T20:08:52Z,
for the dataset file:///shared/beemob_b3f8c692.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. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 28
  • Shapes: 127
  • Stops: 1206
  • Trips: 5340

Specification Compliance report

35213 notices reported (6 errors, 35207 warnings, 0 infos)

Notice Code Severity Total
stop_time_with_arrival_before_previous_departure_time ERROR 6

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. prevCsvRowNumber (?) The row of the previous stop time. tripId (?) The trip_id associated to the faulty record. arrivalTime (?) Arrival time at the faulty record. departureTime (?) Departure time at the previous stop time.
82248 82247 "5689" "00:02:00" "23:59:00"
116274 116273 "7642" "00:01:00" "23:57:00"
63531 63530 "4600" "00:02:00" "23:59:00"
86939 86938 "5947" "00:01:00" "23:57:00"
76005 76004 "5356" "00:01:00" "23:57:00"
107487 107486 "7127" "00:02:00" "23:59:00"
expired_calendar WARNING 5340

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 5340 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "1"
3 "10"
4 "100"
5 "1001"
6 "1002"
7 "1005"
8 "1006"
9 "1009"
10 "101"
11 "1010"
12 "1013"
13 "1014"
14 "1015"
15 "1016"
16 "1017"
17 "1018"
18 "1019"
19 "102"
20 "1020"
21 "1021"
22 "1022"
23 "1023"
24 "1024"
25 "1025"
26 "1026"
27 "1027"
28 "1028"
29 "103"
30 "1031"
31 "1032"
32 "1033"
33 "1034"
34 "1035"
35 "1036"
36 "1037"
37 "1038"
38 "1039"
39 "104"
40 "1042"
41 "1043"
42 "1044"
43 "1045"
44 "1046"
45 "1047"
46 "105"
47 "1050"
48 "1051"
49 "1052"
50 "1053"
51 "1054"
fast_travel_between_consecutive_stops WARNING 51

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.

Only the first 50 of 51 affected records are displayed below.

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.
4941 "7396" "3" 302.25455993249307 2.5187879994374422 112246 5 "CAMERO" "Cameron" "06:32:00" 112247 6 "PONT_" "Pont" "06:32:30"
3713 "5798" "3" 302.25455993249307 2.5187879994374422 84262 5 "CAMERO" "Cameron" "06:32:00" 84263 6 "PONT_" "Pont" "06:32:30"
2840 "4719" "3" 302.25455993249307 2.5187879994374422 65512 5 "CAMERO" "Cameron" "06:32:00" 65513 6 "PONT_" "Pont" "06:32:30"
4952 "7407" "3" 302.25455993249307 2.5187879994374422 112456 5 "CAMERO" "Cameron" "07:32:00" 112457 6 "PONT_" "Pont" "07:32:30"
3674 "5758" "3" 302.25455993249307 2.5187879994374422 83447 5 "CAMERO" "Cameron" "07:32:00" 83448 6 "PONT_" "Pont" "07:32:30"
2765 "4633" "3" 302.25455993249307 2.5187879994374422 64021 5 "CAMERO" "Cameron" "07:32:00" 64022 6 "PONT_" "Pont" "07:32:30"
4963 "7417" "3" 302.25455993249307 2.5187879994374422 112672 5 "CAMERO" "Cameron" "17:32:00" 112673 6 "PONT_" "Pont" "17:32:30"
3684 "5768" "3" 302.25455993249307 2.5187879994374422 83642 5 "CAMERO" "Cameron" "17:32:00" 83643 6 "PONT_" "Pont" "17:32:30"
2775 "4643" "3" 302.25455993249307 2.5187879994374422 64216 5 "CAMERO" "Cameron" "17:32:00" 64217 6 "PONT_" "Pont" "17:32:30"
4968 "7421" "3" 302.25455993249307 2.5187879994374422 112770 5 "CAMERO" "Cameron" "21:32:00" 112771 6 "PONT_" "Pont" "21:32:30"
3689 "5772" "3" 302.25455993249307 2.5187879994374422 83751 5 "CAMERO" "Cameron" "21:32:00" 83752 6 "PONT_" "Pont" "21:32:30"
2779 "4647" "3" 302.25455993249307 2.5187879994374422 64294 5 "CAMERO" "Cameron" "21:32:00" 64295 6 "PONT_" "Pont" "21:32:30"
4950 "7404" "3" 302.25455993249307 2.5187879994374422 112417 5 "CAMERO" "Cameron" "14:32:00" 112418 6 "PONT_" "Pont" "14:32:30"
3723 "5806" "3" 302.25455993249307 2.5187879994374422 84471 5 "CAMERO" "Cameron" "14:32:00" 84472 6 "PONT_" "Pont" "14:32:30"
2849 "4727" "3" 302.25455993249307 2.5187879994374422 65686 5 "CAMERO" "Cameron" "14:32:00" 65687 6 "PONT_" "Pont" "14:32:30"
4977 "7431" "3" 302.25455993249307 2.5187879994374422 112944 5 "CAMERO" "Cameron" "22:32:00" 112945 6 "PONT_" "Pont" "22:32:30"
3732 "5814" "3" 302.25455993249307 2.5187879994374422 84658 5 "CAMERO" "Cameron" "22:32:00" 84659 6 "PONT_" "Pont" "22:32:30"
2858 "4735" "3" 302.25455993249307 2.5187879994374422 65858 5 "CAMERO" "Cameron" "22:32:00" 65859 6 "PONT_" "Pont" "22:32:30"
4948 "7402" "3" 302.25455993249307 2.5187879994374422 112378 5 "CAMERO" "Cameron" "12:32:00" 112379 6 "PONT_" "Pont" "12:32:30"
3721 "5804" "3" 302.25455993249307 2.5187879994374422 84432 5 "CAMERO" "Cameron" "12:32:00" 84433 6 "PONT_" "Pont" "12:32:30"
2847 "4725" "3" 302.25455993249307 2.5187879994374422 65647 5 "CAMERO" "Cameron" "12:32:00" 65648 6 "PONT_" "Pont" "12:32:30"
4959 "7413" "3" 302.25455993249307 2.5187879994374422 112594 5 "CAMERO" "Cameron" "13:32:00" 112595 6 "PONT_" "Pont" "13:32:30"
3680 "5764" "3" 302.25455993249307 2.5187879994374422 83564 5 "CAMERO" "Cameron" "13:32:00" 83565 6 "PONT_" "Pont" "13:32:30"
2771 "4639" "3" 302.25455993249307 2.5187879994374422 64138 5 "CAMERO" "Cameron" "13:32:00" 64139 6 "PONT_" "Pont" "13:32:30"
4954 "7409" "3" 302.25455993249307 2.5187879994374422 112495 5 "CAMERO" "Cameron" "09:32:00" 112496 6 "PONT_" "Pont" "09:32:30"
3676 "5760" "3" 302.25455993249307 2.5187879994374422 83486 5 "CAMERO" "Cameron" "09:32:00" 83487 6 "PONT_" "Pont" "09:32:30"
2767 "4635" "3" 302.25455993249307 2.5187879994374422 64060 5 "CAMERO" "Cameron" "09:32:00" 64061 6 "PONT_" "Pont" "09:32:30"
4971 "7425" "3" 302.25455993249307 2.5187879994374422 112827 5 "CAMERO" "Cameron" "16:32:00" 112828 6 "PONT_" "Pont" "16:32:30"
3725 "5808" "3" 302.25455993249307 2.5187879994374422 84510 5 "CAMERO" "Cameron" "16:32:00" 84511 6 "PONT_" "Pont" "16:32:30"
2851 "4729" "3" 302.25455993249307 2.5187879994374422 65725 5 "CAMERO" "Cameron" "16:32:00" 65726 6 "PONT_" "Pont" "16:32:30"
4961 "7415" "3" 302.25455993249307 2.5187879994374422 112633 5 "CAMERO" "Cameron" "15:32:00" 112634 6 "PONT_" "Pont" "15:32:30"
3682 "5766" "3" 302.25455993249307 2.5187879994374422 83603 5 "CAMERO" "Cameron" "15:32:00" 83604 6 "PONT_" "Pont" "15:32:30"
2773 "4641" "3" 302.25455993249307 2.5187879994374422 64177 5 "CAMERO" "Cameron" "15:32:00" 64178 6 "PONT_" "Pont" "15:32:30"
4965 "7419" "3" 302.25455993249307 2.5187879994374422 112711 5 "CAMERO" "Cameron" "19:32:00" 112712 6 "PONT_" "Pont" "19:32:30"
3687 "5770" "3" 302.25455993249307 2.5187879994374422 83712 5 "CAMERO" "Cameron" "19:32:00" 83713 6 "PONT_" "Pont" "19:32:30"
2777 "4645" "3" 302.25455993249307 2.5187879994374422 64255 5 "CAMERO" "Cameron" "19:32:00" 64256 6 "PONT_" "Pont" "19:32:30"
4946 "7400" "3" 302.25455993249307 2.5187879994374422 112339 5 "CAMERO" "Cameron" "10:32:00" 112340 6 "PONT_" "Pont" "10:32:30"
3719 "5802" "3" 302.25455993249307 2.5187879994374422 84393 5 "CAMERO" "Cameron" "10:32:00" 84394 6 "PONT_" "Pont" "10:32:30"
2845 "4723" "3" 302.25455993249307 2.5187879994374422 65608 5 "CAMERO" "Cameron" "10:32:00" 65609 6 "PONT_" "Pont" "10:32:30"
4943 "7398" "3" 302.25455993249307 2.5187879994374422 112285 5 "CAMERO" "Cameron" "08:32:00" 112286 6 "PONT_" "Pont" "08:32:30"
3717 "5800" "3" 302.25455993249307 2.5187879994374422 84354 5 "CAMERO" "Cameron" "08:32:00" 84355 6 "PONT_" "Pont" "08:32:30"
2843 "4721" "3" 302.25455993249307 2.5187879994374422 65569 5 "CAMERO" "Cameron" "08:32:00" 65570 6 "PONT_" "Pont" "08:32:30"
4973 "7427" "3" 302.25455993249307 2.5187879994374422 112866 5 "CAMERO" "Cameron" "18:32:00" 112867 6 "PONT_" "Pont" "18:32:30"
3728 "5810" "3" 302.25455993249307 2.5187879994374422 84580 5 "CAMERO" "Cameron" "18:32:00" 84581 6 "PONT_" "Pont" "18:32:30"
2854 "4731" "3" 302.25455993249307 2.5187879994374422 65780 5 "CAMERO" "Cameron" "18:32:00" 65781 6 "PONT_" "Pont" "18:32:30"
4957 "7411" "3" 302.25455993249307 2.5187879994374422 112555 5 "CAMERO" "Cameron" "11:32:00" 112556 6 "PONT_" "Pont" "11:32:30"
3678 "5762" "3" 302.25455993249307 2.5187879994374422 83525 5 "CAMERO" "Cameron" "11:32:00" 83526 6 "PONT_" "Pont" "11:32:30"
2769 "4637" "3" 302.25455993249307 2.5187879994374422 64099 5 "CAMERO" "Cameron" "11:32:00" 64100 6 "PONT_" "Pont" "11:32:30"
4975 "7429" "3" 302.25455993249307 2.5187879994374422 112905 5 "CAMERO" "Cameron" "20:32:00" 112906 6 "PONT_" "Pont" "20:32:30"
3730 "5812" "3" 302.25455993249307 2.5187879994374422 84619 5 "CAMERO" "Cameron" "20:32:00" 84620 6 "PONT_" "Pont" "20:32:30"
fast_travel_between_far_stops WARNING 3

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.
3621 "5689" "S" 693.4079401435987 11.55679900239331 82247 4 "CIMET5" "Cimetière" "23:59:00" 82253 10 "GAGARI" "Gagarine" "00:22:00"
2742 "4600" "S" 693.4079401435987 11.55679900239331 63530 4 "CIMET5" "Cimetière" "23:59:00" 63536 10 "GAGARI" "Gagarine" "00:22:00"
4749 "7127" "S" 693.4079401435987 11.55679900239331 107486 4 "CIMET5" "Cimetière" "23:59:00" 107492 10 "GAGARI" "Gagarine" "00:22:00"
leading_or_trailing_whitespaces WARNING 27165

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 27165 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.
"stop_times.txt" 478 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 479 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 480 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 481 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 482 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 483 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 484 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 485 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 486 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 487 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 488 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 489 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 490 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 491 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 492 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 493 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 494 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 495 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 496 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 497 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 498 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 499 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 500 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 501 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 502 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 503 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 504 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 505 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 506 "stop_headsign" "CAPISCOL EST "
"stop_times.txt" 507 "stop_headsign" "DE GAULLE "
"stop_times.txt" 508 "stop_headsign" "DE GAULLE "
"stop_times.txt" 509 "stop_headsign" "DE GAULLE "
"stop_times.txt" 510 "stop_headsign" "DE GAULLE "
"stop_times.txt" 511 "stop_headsign" "DE GAULLE "
"stop_times.txt" 512 "stop_headsign" "DE GAULLE "
"stop_times.txt" 513 "stop_headsign" "DE GAULLE "
"stop_times.txt" 514 "stop_headsign" "DE GAULLE "
"stop_times.txt" 515 "stop_headsign" "DE GAULLE "
"stop_times.txt" 516 "stop_headsign" "DE GAULLE "
"stop_times.txt" 517 "stop_headsign" "DE GAULLE "
"stop_times.txt" 518 "stop_headsign" "DE GAULLE "
"stop_times.txt" 519 "stop_headsign" "DE GAULLE "
"stop_times.txt" 520 "stop_headsign" "DE GAULLE "
"stop_times.txt" 521 "stop_headsign" "DE GAULLE "
"stop_times.txt" 522 "stop_headsign" "DE GAULLE "
"stop_times.txt" 523 "stop_headsign" "DE GAULLE "
"stop_times.txt" 524 "stop_headsign" "DE GAULLE "
"stop_times.txt" 525 "stop_headsign" "DE GAULLE "
"stop_times.txt" 526 "stop_headsign" "DE GAULLE "
"stop_times.txt" 527 "stop_headsign" "DE GAULLE "
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"
mixed_case_recommended_field WARNING 2593

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 2593 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" "VICTOR HUGO" 5
"stops.txt" "stop_name" "8_MAI_1945" 234
"stops.txt" "stop_name" "8_MAI_1945" 299
"trips.txt" "trip_headsign" "PÔLE COMMERCIAL LA GINIEISSE" 5
"trips.txt" "trip_headsign" "AV. DE LA DEVEZE" 6
"trips.txt" "trip_headsign" "PÔLE COMMERCIAL LA GINIEISSE" 7
"trips.txt" "trip_headsign" "AV. DE LA DEVEZE" 8
"trips.txt" "trip_headsign" "CAPISCOL EST" 30
"trips.txt" "trip_headsign" "DE GAULLE" 31
"trips.txt" "trip_headsign" "CAPISCOL EST" 32
"trips.txt" "trip_headsign" "DE GAULLE" 33
"trips.txt" "trip_headsign" "CAPISCOL EST" 34
"trips.txt" "trip_headsign" "DE GAULLE" 35
"trips.txt" "trip_headsign" "CAPISCOL EST" 36
"trips.txt" "trip_headsign" "DE GAULLE" 37
"trips.txt" "trip_headsign" "CAPISCOL EST" 38
"trips.txt" "trip_headsign" "ECOLE NELSON MANDELA" 53
"trips.txt" "trip_headsign" "PLACE DES ALLIES" 54
"trips.txt" "trip_headsign" "CAPISCOL EST --> LES CORMORANS --> LYCEE JEAN MOUL" 56
"trips.txt" "trip_headsign" "CAPISCOL EST" 115
"trips.txt" "trip_headsign" "DE GAULLE" 116
"trips.txt" "trip_headsign" "CAPISCOL EST" 117
"trips.txt" "trip_headsign" "DE GAULLE" 118
"trips.txt" "trip_headsign" "CAPISCOL EST" 119
"trips.txt" "trip_headsign" "PÔLE COMMERCIAL LA GINIEISSE" 121
"trips.txt" "trip_headsign" "AV. DE LA DEVEZE" 122
"trips.txt" "trip_headsign" "DE GAULLE" 131
"trips.txt" "trip_headsign" "DE GAULLE" 133
"trips.txt" "trip_headsign" "DE GAULLE" 136
"trips.txt" "trip_headsign" "DE GAULLE" 138
"trips.txt" "trip_headsign" "DE GAULLE" 140
"trips.txt" "trip_headsign" "DE GAULLE" 142
"trips.txt" "trip_headsign" "DE GAULLE" 144
"trips.txt" "trip_headsign" "DE GAULLE" 147
"trips.txt" "trip_headsign" "DE GAULLE" 149
"trips.txt" "trip_headsign" "DE GAULLE" 151
"trips.txt" "trip_headsign" "BONAVAL HAUT" 152
"trips.txt" "trip_headsign" "DE GAULLE" 153
"trips.txt" "trip_headsign" "BONAVAL HAUT" 154
"trips.txt" "trip_headsign" "DE GAULLE" 156
"trips.txt" "trip_headsign" "BONAVAL HAUT" 157
"trips.txt" "trip_headsign" "DE GAULLE" 158
"trips.txt" "trip_headsign" "BONAVAL HAUT" 159
"trips.txt" "trip_headsign" "DE GAULLE" 160
"trips.txt" "trip_headsign" "BONAVAL HAUT" 161
"trips.txt" "trip_headsign" "DE GAULLE" 162
"trips.txt" "trip_headsign" "BONAVAL HAUT" 163
"trips.txt" "trip_headsign" "DE GAULLE" 164
"trips.txt" "trip_headsign" "BONAVAL HAUT" 165
"trips.txt" "trip_headsign" "DE GAULLE SUCHON" 166
route_color_contrast WARNING 23

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"A" 2 "#FF0000" "#FF0000"
"E" 3 "#FFA500" "#FFA500"
"D" 4 "#FF99CC" "#FF99CC"
"G" 5 "#FF00FF" "#FF00FF"
"F" 6 "#CCFFFF" "#CCFFFF"
"12" 7 "#83825F" "#83825F"
"5" 8 "#FF99CC" "#FF99CC"
"11" 9 "#FFC8FF" "#FFC8FF"
"8" 10 "#BDBD00" "#BDBD00"
"7" 11 "#000000" "#000000"
"B" 12 "#0000FF" "#0000FF"
"4" 13 "#FFD700" "#FFD700"
"2" 14 "#B46767" "#B46767"
"C" 15 "#3FB53C" "#3FB53C"
"1" 16 "#FFFF00" "#FFFF00"
"R2" 17 "#333333" "#333333"
"H" 18 "#99CC00" "#99CC00"
"14" 19 "#8E0000" "#8E0000"
"3" 20 "#00EA00" "#00EA00"
"S" 26 "#FFFF00" "#FFFF00"
"10" 27 "#97C5E6" "#97C5E6"
"L" 28 "#12BAA5" "#12BAA5"
"P" 29 "#00FFFF" "#00FFFF"
route_long_name_contains_short_name WARNING 28

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`.
"A" 2 "A" "A"
"E" 3 "E" "E"
"D" 4 "D" "D"
"G" 5 "G" "G"
"F" 6 "F" "F"
"12" 7 "12" "12"
"5" 8 "5" "5"
"11" 9 "11" "11"
"8" 10 "8" "8"
"7" 11 "7" "7"
"B" 12 "B" "B"
"4" 13 "4" "4"
"2" 14 "2" "2"
"C" 15 "C" "C"
"1" 16 "1" "1"
"R2" 17 "R2" "R2"
"H" 18 "H" "H"
"14" 19 "14" "14"
"3" 20 "3" "3"
"25" 21 "25" "25"
"24" 22 "24" "24"
"26" 23 "26" "26"
"22" 24 "22" "22"
"15" 25 "15" "15"
"S" 26 "S" "S"
"10" 27 "10" "10"
"L" 28 "L" "L"
"P" 29 "P" "P"
stop_without_stop_time WARNING 2

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 "BEDEP" "Dépôt 1"
1159 "AVENUE" "Avenue Jean Moulin Regul"
trip_coverage_not_active_for_next7_days WARNING 1

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format). serviceWindowStartDate (?) The start date of the majority service window. serviceWindowEndDate (?) The end date of the majority service window.
"20260423" "20250701" "20250830"