GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-13T10:13:53Z,
for the dataset file:///shared/reseau-urbain-kiceo_1f98401f.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
French
Feed Start Date:
2025-09-01
Feed End Date:
2026-11-16

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 517
  • Routes: 198
  • Shapes: 521
  • Stops: 2712
  • Trips: 4861

Specification Compliance report

4137 notices reported (0 errors, 4111 warnings, 26 infos)

Notice Code Severity Total
expired_calendar WARNING 11

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.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "104987-1"
3 "104987-10"
14 "104987-11"
15 "104987-2"
23 "104987-3"
34 "104987-4"
39 "104987-5"
40 "104987-6"
41 "104987-7"
42 "104987-8"
46 "104987-9"
fast_travel_between_consecutive_stops WARNING 3843

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 3843 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.
3566 "104987-4-135987206" "104987-8" 977.4422571700406 0.27151173810278906 93128 19 "104987-184" "Europe" "12:02:00" 93129 20 "104987-186" "Hermine" "12:02:01"
3567 "104987-4-135987224" "104987-8" 977.4422571700406 0.27151173810278906 93128 19 "104987-184" "Europe" "12:02:00" 93129 20 "104987-186" "Hermine" "12:02:01"
2278 "104987-2-50593820" "104987-3" 806.3640686164124 0.22399001906011456 57665 4 "104987-594" "Le Racker" "16:51:00" 57666 5 "104987-378" "Avel Dro" "16:51:01"
2278 "104987-2-50593820" "104987-3" 617.8676542466028 0.17162990395738967 57687 26 "104987-642" "Kergolven" "17:20:00" 57688 27 "104987-391" "Bohalgo" "17:20:01"
2890 "104987-4-53084188" "104987-3" 617.8676542466028 0.17162990395738967 74068 27 "104987-642" "Kergolven" "07:27:00" 74069 28 "104987-391" "Bohalgo" "07:27:01"
426 "104987-22-1778450433" "104987-106" 620.2700366532032 0.17229723240366754 5382 14 "104987-6302" "Le Rodouër" "18:49:00" 5383 15 "104987-6306" "Le Sabot d'Or" "18:49:01"
730 "104987-2-50593800" "104987-3" 806.3640686164124 0.22399001906011456 13308 4 "104987-594" "Le Racker" "08:18:00" 13309 5 "104987-378" "Avel Dro" "08:18:01"
730 "104987-2-50593800" "104987-3" 617.8676542466028 0.17162990395738967 13330 26 "104987-642" "Kergolven" "08:43:00" 13331 27 "104987-391" "Bohalgo" "08:43:01"
2012 "104987-2-319160343" "104987-19" 959.872367960746 0.26663121332242945 49958 2 "104987-506" "La Mare" "15:22:00" 49959 3 "104987-600" "Keranguen" "15:22:01"
2012 "104987-2-319160343" "104987-19" 557.0994650512797 0.15474985140313324 49962 6 "104987-435" "Normandie" "15:28:00" 49963 7 "104987-558" "Bernus" "15:28:01"
2012 "104987-2-319160343" "104987-19" 704.4103681362201 0.19566954670450556 49966 10 "104987-578" "Plein Ciel" "15:31:00" 49967 11 "104987-431" "Kerarden" "15:31:01"
2012 "104987-2-319160343" "104987-19" 650.0771962518595 0.18057699895884985 49980 24 "104987-439" "Grador" "15:47:00" 49981 25 "104987-644" "Verdun" "15:47:01"
2012 "104987-2-319160343" "104987-19" 1178.8416039046026 0.3274560010846118 49990 34 "104987-479" "Groupe Scolaire" "15:56:00" 49991 35 "104987-638" "Université" "15:56:01"
2012 "104987-2-319160343" "104987-19" 1359.9051220480878 0.3777514227911355 49993 37 "104987-359" "Pibs 2" "15:58:00" 49994 38 "104987-4227" "Kerviler" "15:58:01"
2012 "104987-2-319160343" "104987-19" 806.3640686164124 0.22399001906011456 49995 39 "104987-594" "Le Racker" "16:01:00" 49996 40 "104987-378" "Avel Dro" "16:01:01"
2868 "104987-4-85852161" "104987-5" 892.585919025804 0.24794053306272332 73475 2 "104987-422" "Cpam" "06:39:00" 73476 3 "104987-385" "Bell" "06:39:01"
2868 "104987-4-85852161" "104987-5" 872.6682323769516 0.242407842326931 73492 19 "104987-306" "Le Verger" "07:01:00" 73493 20 "104987-245" "Bois de Lisa" "07:01:01"
2950 "104987-4-53215236" "104987-3" 554.7316029038551 0.15409211191773753 75772 31 "104987-447" "Esat du Prat" "08:02:00" 75773 32 "104987-535" "Michelin" "08:02:01"
2950 "104987-4-53215236" "104987-3" 617.8676542466028 0.17162990395738967 75774 33 "104987-642" "Kergolven" "08:03:00" 75775 34 "104987-391" "Bohalgo" "08:03:01"
567 "104987-2-336134150" "104987-20" 878.6152930076239 0.24405980361322885 8904 5 "104987-380" "Avel Dro" "07:28:00" 8905 6 "104987-593" "Le Racker" "07:28:01"
2942 "104987-4-336134155" "104987-20" 878.6152930076239 0.24405980361322885 8904 5 "104987-380" "Avel Dro" "07:28:00" 8905 6 "104987-593" "Le Racker" "07:28:01"
2943 "104987-4-336134176" "104987-20" 878.6152930076239 0.24405980361322885 8904 5 "104987-380" "Avel Dro" "07:28:00" 8905 6 "104987-593" "Le Racker" "07:28:01"
567 "104987-2-336134150" "104987-20" 824.8319419057532 0.2291199838627092 8905 6 "104987-593" "Le Racker" "07:28:01" 8906 7 "104987-495" "Kérino" "07:28:02"
2942 "104987-4-336134155" "104987-20" 824.8319419057532 0.2291199838627092 8905 6 "104987-593" "Le Racker" "07:28:01" 8906 7 "104987-495" "Kérino" "07:28:02"
2943 "104987-4-336134176" "104987-20" 824.8319419057532 0.2291199838627092 8905 6 "104987-593" "Le Racker" "07:28:01" 8906 7 "104987-495" "Kérino" "07:28:02"
567 "104987-2-336134150" "104987-20" 497.5842086770661 0.13821783574362947 8919 20 "104987-469" "Giraud" "07:43:00" 8920 21 "104987-643" "Verdun" "07:43:01"
2942 "104987-4-336134155" "104987-20" 497.5842086770661 0.13821783574362947 8919 20 "104987-469" "Giraud" "07:43:00" 8920 21 "104987-643" "Verdun" "07:43:01"
2943 "104987-4-336134176" "104987-20" 497.5842086770661 0.13821783574362947 8919 20 "104987-469" "Giraud" "07:43:00" 8920 21 "104987-643" "Verdun" "07:43:01"
567 "104987-2-336134150" "104987-20" 341.35255109484194 0.09482015308190053 8935 36 "104987-579" "Plein Ciel" "08:02:00" 8936 37 "104987-504" "Lallement" "08:02:01"
2942 "104987-4-336134155" "104987-20" 341.35255109484194 0.09482015308190053 8935 36 "104987-579" "Plein Ciel" "08:02:00" 8936 37 "104987-504" "Lallement" "08:02:01"
2943 "104987-4-336134176" "104987-20" 341.35255109484194 0.09482015308190053 8935 36 "104987-579" "Plein Ciel" "08:02:00" 8936 37 "104987-504" "Lallement" "08:02:01"
1197 "104987-2-336134185" "104987-20" 878.6152930076239 0.24405980361322885 26436 5 "104987-380" "Avel Dro" "11:12:00" 26437 6 "104987-593" "Le Racker" "11:12:01"
1197 "104987-2-336134185" "104987-20" 625.8224538391745 0.1738395705108818 26453 22 "104987-438" "Grador" "11:30:00" 26454 23 "104987-636" "Troadec" "11:30:01"
1197 "104987-2-336134185" "104987-20" 341.35255109484194 0.09482015308190053 26467 36 "104987-579" "Plein Ciel" "11:50:00" 26468 37 "104987-504" "Lallement" "11:50:01"
2951 "104987-4-53084180" "104987-3" 617.8676542466028 0.17162990395738967 75804 27 "104987-642" "Kergolven" "07:57:00" 75805 28 "104987-391" "Bohalgo" "07:57:01"
3181 "104987-4-135921668" "104987-8" 873.0387180015989 0.24251075500044414 81912 18 "104987-615" "Rouillé" "09:17:00" 81913 19 "104987-566" "Pasteur" "09:17:01"
3182 "104987-4-135921695" "104987-8" 873.0387180015989 0.24251075500044414 81912 18 "104987-615" "Rouillé" "09:17:00" 81913 19 "104987-566" "Pasteur" "09:17:01"
3888 "104987-4-6140657671" "104987-366" 1002.7980490152443 0.2785550136153456 102107 3 "104987-159" "Lann-Vraz" "13:40:00" 102108 4 "104987-141" "Beau Soleil" "13:40:01"
3889 "104987-4-6140657679" "104987-366" 1002.7980490152443 0.2785550136153456 102107 3 "104987-159" "Lann-Vraz" "13:40:00" 102108 4 "104987-141" "Beau Soleil" "13:40:01"
3888 "104987-4-6140657671" "104987-366" 1275.1934783742843 0.3542204106595234 102117 13 "104987-576" "Plaisance" "13:55:00" 102118 14 "104987-466" "Gerbault" "13:55:01"
3889 "104987-4-6140657679" "104987-366" 1275.1934783742843 0.3542204106595234 102117 13 "104987-576" "Plaisance" "13:55:00" 102118 14 "104987-466" "Gerbault" "13:55:01"
3888 "104987-4-6140657671" "104987-366" 1049.8351788526043 0.2916208830146123 102123 19 "104987-584" "Pont Sncf" "14:00:00" 102124 20 "104987-493" "Hugo" "14:00:01"
3889 "104987-4-6140657679" "104987-366" 1049.8351788526043 0.2916208830146123 102123 19 "104987-584" "Pont Sncf" "14:00:00" 102124 20 "104987-493" "Hugo" "14:00:01"
480 "104987-2-50528265" "104987-3" 806.3640686164124 0.22399001906011456 6577 2 "104987-594" "Le Racker" "06:50:00" 6578 3 "104987-378" "Avel Dro" "06:50:01"
481 "104987-2-50528270" "104987-3" 806.3640686164124 0.22399001906011456 6577 2 "104987-594" "Le Racker" "06:50:00" 6578 3 "104987-378" "Avel Dro" "06:50:01"
480 "104987-2-50528265" "104987-3" 554.7316029038551 0.15409211191773753 6603 28 "104987-447" "Esat du Prat" "07:20:00" 6604 29 "104987-535" "Michelin" "07:20:01"
481 "104987-2-50528270" "104987-3" 554.7316029038551 0.15409211191773753 6603 28 "104987-447" "Esat du Prat" "07:20:00" 6604 29 "104987-535" "Michelin" "07:20:01"
480 "104987-2-50528265" "104987-3" 617.8676542466028 0.17162990395738967 6605 30 "104987-642" "Kergolven" "07:21:00" 6606 31 "104987-391" "Bohalgo" "07:21:01"
481 "104987-2-50528270" "104987-3" 617.8676542466028 0.17162990395738967 6605 30 "104987-642" "Kergolven" "07:21:00" 6606 31 "104987-391" "Bohalgo" "07:21:01"
3328 "104987-4-319160325" "104987-19" 557.0994650512797 0.15474985140313324 86178 6 "104987-435" "Normandie" "09:59:00" 86179 7 "104987-558" "Bernus" "09:59:01"
fast_travel_between_far_stops WARNING 2

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.
4621 "104987-4-6325600257" "104987-377" 331.0961328716115 11.03653776238705 122378 16 "104987-6716" "Brandivy Le Poteau" "18:59:00" 122379 17 "104987-6752" "Rue de Floranges" "19:00:00"
2576 "104987-2-6325600257" "104987-377" 331.0961328716115 11.03653776238705 65886 16 "104987-6716" "Brandivy Le Poteau" "18:59:00" 65887 17 "104987-6752" "Rue de Floranges" "19:00:00"
mixed_case_recommended_field WARNING 7

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.
"trips.txt" "trip_short_name" "385va01" 8
"trips.txt" "trip_short_name" "385va02" 158
"trips.txt" "trip_short_name" "390vr04" 221
"trips.txt" "trip_short_name" "390vr01" 288
"trips.txt" "trip_short_name" "390vr02" 368
"trips.txt" "trip_short_name" "359vr01" 433
"trips.txt" "trip_short_name" "390vr03" 440
non_ascii_or_non_printable_char WARNING 228

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 228 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"agency.txt" 2 "agency_id" "104987-Kicéo"
"routes.txt" 2 "agency_id" "104987-Kicéo"
"routes.txt" 3 "agency_id" "104987-Kicéo"
"routes.txt" 4 "agency_id" "104987-Kicéo"
"routes.txt" 5 "agency_id" "104987-Kicéo"
"routes.txt" 6 "agency_id" "104987-Kicéo"
"routes.txt" 7 "agency_id" "104987-Kicéo"
"routes.txt" 8 "agency_id" "104987-Kicéo"
"routes.txt" 9 "agency_id" "104987-Kicéo"
"routes.txt" 10 "agency_id" "104987-Kicéo"
"routes.txt" 11 "agency_id" "104987-Kicéo"
"routes.txt" 12 "agency_id" "104987-Kicéo"
"routes.txt" 13 "agency_id" "104987-Kicéo"
"routes.txt" 14 "agency_id" "104987-Kicéo"
"routes.txt" 15 "agency_id" "104987-Kicéo"
"routes.txt" 16 "agency_id" "104987-Kicéo"
"routes.txt" 17 "agency_id" "104987-Kicéo"
"routes.txt" 18 "agency_id" "104987-Kicéo"
"routes.txt" 19 "agency_id" "104987-Kicéo"
"routes.txt" 20 "agency_id" "104987-Kicéo"
"routes.txt" 21 "agency_id" "104987-Kicéo"
"routes.txt" 22 "agency_id" "104987-Kicéo"
"routes.txt" 23 "agency_id" "104987-Kicéo"
"routes.txt" 24 "agency_id" "104987-Kicéo"
"routes.txt" 25 "agency_id" "104987-Kicéo"
"routes.txt" 26 "agency_id" "104987-Kicéo"
"routes.txt" 27 "agency_id" "104987-Kicéo"
"routes.txt" 28 "agency_id" "104987-Kicéo"
"routes.txt" 29 "agency_id" "104987-Kicéo"
"routes.txt" 30 "agency_id" "104987-Kicéo"
"routes.txt" 31 "agency_id" "104987-Kicéo"
"routes.txt" 32 "agency_id" "104987-Kicéo"
"routes.txt" 33 "agency_id" "104987-Kicéo"
"routes.txt" 34 "agency_id" "104987-Kicéo"
"routes.txt" 35 "agency_id" "104987-Kicéo"
"routes.txt" 36 "agency_id" "104987-Kicéo"
"routes.txt" 37 "agency_id" "104987-Kicéo"
"routes.txt" 38 "agency_id" "104987-Kicéo"
"routes.txt" 39 "agency_id" "104987-Kicéo"
"routes.txt" 40 "agency_id" "104987-Kicéo"
"routes.txt" 41 "agency_id" "104987-Kicéo"
"routes.txt" 42 "agency_id" "104987-Kicéo"
"routes.txt" 43 "agency_id" "104987-Kicéo"
"routes.txt" 44 "agency_id" "104987-Kicéo"
"routes.txt" 45 "agency_id" "104987-Kicéo"
"routes.txt" 46 "agency_id" "104987-Kicéo"
"routes.txt" 47 "agency_id" "104987-Kicéo"
"routes.txt" 48 "agency_id" "104987-Kicéo"
"routes.txt" 49 "agency_id" "104987-Kicéo"
"routes.txt" 50 "agency_id" "104987-Kicéo"
route_long_name_contains_short_name WARNING 9

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`.
"104987-47" 68 "S213 Bis" "S213 BIS Arradon"
"104987-67" 89 "S303 Surzur" "S303 Surzur Surzur"
"104987-104" 121 "S344 Bis" "S344 BIS Elven"
"104987-105" 122 "S344 D" "S344 D Elven"
"104987-173" 189 "S670" "S670 Séné"
"104987-174" 190 "S671" "S671 Séné"
"104987-175" 191 "S672" "S672 Séné"
"104987-176" 192 "S680" "S680 Séné"
"104987-177" 193 "S681" "S681 Séné"
stop_too_far_from_shape WARNING 11

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

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.
90 "104987-S3640079" "104987-22-2214789121" 1347 "104987-6189" "Noyalo Centre" [47.60988,-2.68039] 187.3787353814959
245 "104987-S3640078" "104987-22-2214658049" 3070 "104987-6188" "Noyalo Centre" [47.60988,-2.68039] 186.5732417589178
346 "104987-S3640080" "104987-22-2214920193" 4392 "104987-6188" "Noyalo Centre" [47.60988,-2.68039] 186.5732417589178
89 "104987-S3640081" "104987-22-2215051265" 1332 "104987-6189" "Noyalo Centre" [47.60988,-2.68039] 187.3787353814959
221 "104987-S390VR04AL16" "104987-22-2064056324" 2786 "104987-6188" "Noyalo Centre" [47.60988,-2.68039] 186.5732417589178
430 "104987-S327V_L24R01AL16" "104987-22-1510014977" 5448 "104987-6189" "Noyalo Centre" [47.60988,-2.68039] 187.3787353814959
288 "104987-S390VR01AL16" "104987-22-2063990787" 3579 "104987-6189" "Noyalo Centre" [47.60988,-2.68039] 187.3787353814959
336 "104987-S385VR02AL16" "104987-22-1996947457-780-LM_J___" 4244 "104987-6189" "Noyalo Centre" [47.60988,-2.68039] 187.3787353814959
423 "104987-S385VR03BL16" "104987-22-1997078529" 5348 "104987-6188" "Noyalo Centre" [47.60988,-2.68039] 186.5732417589178
256 "104987-S388R04BL16" "104987-22-1963327490" 3179 "104987-6188" "Noyalo Centre" [47.60988,-2.68039] 186.5732417589178
238 "104987-GCP107002" "104987-22-503644161" 3002 "104987-5514" "La Forêt" [47.800538563491095,-2.899598511236181] 191.3533147155105
big_gap_in_service INFO 21

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"104987-23" "2026-06-28" "2026-09-06" 69
"104987-24" "2026-06-27" "2026-09-05" 69
"104987-25" "2026-07-03" "2026-09-04" 62
"104987-26" "2026-07-02" "2026-09-03" 62
"104987-27" "2026-07-03" "2026-09-03" 61
"104987-28" "2026-07-01" "2026-09-02" 62
"104987-29" "2026-06-30" "2026-09-01" 62
"104987-30" "2026-07-02" "2026-09-01" 60
"104987-31" "2026-07-03" "2026-09-01" 59
"104987-32" "2026-07-01" "2026-09-01" 61
"104987-33" "2026-07-03" "2026-09-01" 59
"104987-34" "2026-07-03" "2026-09-01" 59
"104987-35" "2026-06-29" "2026-08-31" 62
"104987-36" "2026-07-03" "2026-08-31" 58
"104987-37" "2026-06-30" "2026-08-31" 61
"104987-38" "2026-07-03" "2026-08-31" 58
"104987-39" "2026-07-01" "2026-08-31" 60
"104987-40" "2026-07-02" "2026-08-31" 59
"104987-41" "2026-07-03" "2026-08-31" 58
"104987-42" "2026-07-03" "2026-08-31" 58
"104987-43" "2026-07-03" "2026-08-31" 58
trip_headsign_matches_intermediate_stop INFO 5

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
179 "104987-22-1560346625" "Meucon" "104987-5566" 4 "104987-3694"
214 "104987-22-1157824513" "Meucon" "104987-5566" 2 "104987-3703"
350 "104987-22-1157824514" "Meucon" "104987-5566" 2 "104987-3703"
397 "104987-22-1560346626" "Meucon" "104987-5566" 4 "104987-3694"
424 "104987-22-1157824515" "Meucon" "104987-5566" 2 "104987-3703"