GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T17:18:26Z,
for the dataset file:///shared/eveole.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
EVEOLE
Publisher URL:
http://www.eveole.com
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2025-12-08
Feed End Date:
2026-07-03

Files included

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

Counts

  • Agencies: 2
  • Blocks: 1365
  • Routes: 41
  • Shapes: 414
  • Stops: 1448
  • Trips: 10835

Specification Compliance report

178 notices reported (157 errors, 21 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 125

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

Only the first 50 of 125 affected records are displayed below.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
10253 "756809" "25" 6477 "755731" "18" "A-04" "20260628"
10253 "756809" "25" 6478 "755734" "18" "A-04" "20260628"
6478 "755734" "18" 10261 "756844" "25" "A-04" "20260628"
10261 "756844" "25" 6474 "755687" "18" "A-04" "20260628"
6474 "755687" "18" 10256 "756823" "25" "A-04" "20260628"
10256 "756823" "25" 6476 "755728" "18" "A-04" "20260628"
6476 "755728" "18" 10259 "756840" "25" "A-04" "20260628"
10259 "756840" "25" 6479 "755739" "18" "A-04" "20260628"
6479 "755739" "18" 10257 "756826" "25" "A-04" "20260628"
10257 "756826" "25" 6480 "755750" "18" "A-04" "20260628"
6480 "755750" "18" 10255 "756822" "25" "A-04" "20260628"
10255 "756822" "25" 6475 "755707" "18" "A-04" "20260628"
10242 "756812" "25" 6469 "755693" "18" "A-05" "20260628"
10242 "756812" "25" 6467 "755686" "18" "A-05" "20260628"
6467 "755686" "18" 10248 "756846" "25" "A-05" "20260628"
10248 "756846" "25" 6471 "755725" "18" "A-05" "20260628"
6471 "755725" "18" 10243 "756821" "25" "A-05" "20260628"
10243 "756821" "25" 6472 "755738" "18" "A-05" "20260628"
6472 "755738" "18" 10247 "756842" "25" "A-05" "20260628"
10247 "756842" "25" 6473 "755745" "18" "A-05" "20260628"
6473 "755745" "18" 10246 "756835" "25" "A-05" "20260628"
10246 "756835" "25" 6468 "755692" "18" "A-05" "20260628"
6468 "755692" "18" 10244 "756825" "25" "A-05" "20260628"
10244 "756825" "25" 6470 "755697" "18" "A-05" "20260628"
10282 "756828" "25" 6491 "755729" "18" "A-02" "20260628"
10282 "756828" "25" 6492 "755732" "18" "A-02" "20260628"
6492 "755732" "18" 10279 "756815" "25" "A-02" "20260628"
6493 "755735" "18" 10280 "756820" "25" "A-02" "20260628"
6490 "755727" "18" 10286 "756850" "25" "A-02" "20260628"
6488 "755689" "18" 10281 "756824" "25" "A-02" "20260628"
6495 "755747" "18" 10285 "756847" "25" "A-02" "20260628"
6494 "755742" "18" 10283 "756838" "25" "A-02" "20260628"
6489 "755701" "18" 10284 "756839" "25" "A-02" "20260628"
10272 "756833" "25" 6487 "755749" "18" "A-03" "20260628"
10272 "756833" "25" 6481 "755685" "18" "A-03" "20260628"
6481 "755685" "18" 10268 "756817" "25" "A-03" "20260628"
10268 "756817" "25" 6484 "755724" "18" "A-03" "20260628"
6484 "755724" "18" 10267 "756816" "25" "A-03" "20260628"
10267 "756816" "25" 6482 "755688" "18" "A-03" "20260628"
6482 "755688" "18" 10266 "756810" "25" "A-03" "20260628"
10266 "756810" "25" 6486 "755744" "18" "A-03" "20260628"
6486 "755744" "18" 10271 "756831" "25" "A-03" "20260628"
10271 "756831" "25" 6485 "755740" "18" "A-03" "20260628"
6485 "755740" "18" 10269 "756819" "25" "A-03" "20260628"
10269 "756819" "25" 6483 "755690" "18" "A-03" "20260628"
6483 "755690" "18" 10273 "756841" "25" "A-03" "20260628"
10232 "756818" "25" 6465 "755748" "18" "A-01" "20260628"
6465 "755748" "18" 10235 "756832" "25" "A-01" "20260628"
10235 "756832" "25" 6459 "755683" "18" "A-01" "20260628"
6459 "755683" "18" 10231 "756814" "25" "A-01" "20260628"
decreasing_or_equal_stop_time_distance ERROR 22

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`.
"746780" "22025" 36559 23183.0 29 36558 23183.0 28
"746781" "22025" 35820 23183.0 29 35819 23183.0 28
"746765" "22025" 36217 23183.0 29 36216 23183.0 28
"746774" "22025" 35704 23183.0 29 35703 23183.0 28
"746777" "22025" 35762 23183.0 29 35761 23183.0 28
"746778" "22025" 36057 23183.0 29 36056 23183.0 28
"740778" "22025" 88574 29630.0 34 88573 29630.0 33
"740781" "22025" 88633 27626.0 30 88632 27626.0 29
"740782" "22025" 91817 29630.0 34 91816 29630.0 33
"740785" "22025" 4499 23183.0 29 4498 23183.0 28
"740784" "22025" 88847 25187.0 33 88846 25187.0 32
"740770" "22025" 82716 25187.0 33 82715 25187.0 32
"740804" "22025" 4116 23183.0 29 4115 23183.0 28
"740803" "22025" 13829 23183.0 29 13828 23183.0 28
"740805" "22025" 4441 23183.0 29 4440 23183.0 28
"740800" "22025" 3896 23183.0 29 3895 23183.0 28
"740802" "22025" 3954 23183.0 29 3953 23183.0 28
"741234" "22025" 71368 23183.0 29 71367 23183.0 28
"741231" "22025" 71310 23183.0 29 71309 23183.0 28
"741237" "22025" 72107 23183.0 29 72106 23183.0 28
"741235" "22025" 71605 23183.0 29 71604 23183.0 28
"741223" "22025" 71765 23183.0 29 71764 23183.0 28
missing_required_field ERROR 1

missing_required_field

A required field is missing.

The given field has no value in some input row, even though values are required.

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.
"fare_attributes.txt" 2 "agency_id"
stop_time_with_arrival_before_previous_departure_time ERROR 9

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.
35821 35820 "746781" "19:59:51" "20:00:24"
36218 36217 "746765" "18:08:51" "18:09:24"
35705 35704 "746774" "13:06:51" "13:07:24"
35763 35762 "746777" "16:22:51" "16:23:24"
36058 36057 "746778" "17:08:51" "17:09:24"
71369 71368 "741234" "16:22:51" "16:23:24"
71311 71310 "741231" "13:06:51" "13:07:24"
71606 71605 "741235" "17:08:51" "17:09:24"
71766 71765 "741223" "18:08:51" "18:09:24"
expired_calendar WARNING 14

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 "1"
3 "2"
4 "3"
5 "4"
6 "5"
7 "6"
8 "7"
9 "8"
10 "9"
11 "10"
12 "11"
13 "12"
14 "13"
15 "14"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
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_version"
mixed_case_recommended_field WARNING 4

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.
"agency.txt" "agency_name" "TAD EVEOLE" 3
"stops.txt" "stop_name" "08-mai" 704
"stops.txt" "stop_name" "08-mai" 705
"stops.txt" "stop_name" "08-mai" 749
route_color_contrast WARNING 1

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.
"80" 19 "#9FBDFF" "#FFFFFF"