eveole — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-24T20:26:17Z,
for the dataset file:///shared/eveole_a0152baf.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:
2026-07-06
Feed End Date:
2027-01-03

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: 1371
  • Routes: 41
  • Shapes: 308
  • Stops: 1471
  • Trips: 7216

Specification Compliance report

7867 notices reported (626 errors, 13 warnings, 7228 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 623

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 623 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.
2591 "785514" "15" 6366 "779666" "21" "18-02" "20261224"
2593 "785517" "15" 6368 "779669" "21" "18-02" "20261224"
2594 "785521" "15" 6369 "779673" "21" "18-02" "20261224"
2596 "785524" "15" 6371 "779676" "21" "18-02" "20261224"
2597 "785528" "15" 6372 "779680" "21" "18-02" "20261224"
2589 "785508" "15" 6364 "779660" "21" "18-02" "20261224"
2590 "785509" "15" 6365 "779661" "21" "18-02" "20261224"
2592 "785516" "15" 6367 "779668" "21" "18-02" "20261224"
2595 "785523" "15" 6370 "779675" "21" "18-02" "20261224"
2389 "785530" "15" 6237 "779682" "21" "18-03" "20261224"
2384 "785513" "15" 6232 "779665" "21" "18-03" "20261224"
2386 "785520" "15" 6234 "779672" "21" "18-03" "20261224"
2388 "785527" "15" 6236 "779679" "21" "18-03" "20261224"
2382 "785506" "15" 6230 "779658" "21" "18-03" "20261224"
2383 "785512" "15" 6231 "779664" "21" "18-03" "20261224"
2385 "785519" "15" 6233 "779671" "21" "18-03" "20261224"
2387 "785526" "15" 6235 "779678" "21" "18-03" "20261224"
2588 "785531" "15" 6363 "779683" "21" "18-01" "20261224"
2582 "785511" "15" 6357 "779663" "21" "18-01" "20261224"
2583 "785515" "15" 6358 "779667" "21" "18-01" "20261224"
2584 "785518" "15" 6359 "779670" "21" "18-01" "20261224"
2585 "785522" "15" 6360 "779674" "21" "18-01" "20261224"
2586 "785525" "15" 6361 "779677" "21" "18-01" "20261224"
2587 "785529" "15" 6362 "779681" "21" "18-01" "20261224"
2580 "785507" "15" 6355 "779659" "21" "18-01" "20261224"
6356 "779662" "21" 2581 "785510" "15" "18-01" "20261224"
2535 "785011" "15" 6314 "779608" "21" "6-02" "20261224"
2530 "784990" "15" 6310 "779588" "21" "6-02" "20261224"
2523 "784973" "15" 6303 "779572" "21" "6-02" "20261224"
2529 "784989" "15" 6309 "779587" "21" "6-02" "20261224"
2534 "785007" "15" 6313 "779604" "21" "6-02" "20261224"
2526 "784982" "15" 6306 "779580" "21" "6-02" "20261224"
2533 "785005" "15" 6312 "779602" "21" "6-02" "20261224"
2527 "784984" "15" 6307 "779582" "21" "6-02" "20261224"
2532 "785001" "15" 6311 "779598" "21" "6-02" "20261224"
2525 "784980" "15" 6305 "779578" "21" "6-02" "20261224"
2524 "784976" "15" 6304 "779575" "21" "6-02" "20261224"
2528 "784986" "15" 6308 "779584" "21" "6-02" "20261224"
2521 "785009" "15" 6301 "779606" "21" "6-01" "20261224"
2522 "785010" "15" 6302 "779607" "21" "6-01" "20261224"
2517 "784974" "15" 6297 "779573" "21" "6-01" "20261224"
2520 "784998" "15" 6300 "779596" "21" "6-01" "20261224"
2518 "784981" "15" 6298 "779579" "21" "6-01" "20261224"
2519 "784991" "15" 6299 "779589" "21" "6-01" "20261224"
2439 "784983" "15" 6275 "779581" "21" "6-04" "20261224"
2441 "784993" "15" 6277 "779591" "21" "6-04" "20261224"
2438 "784979" "15" 6274 "779577" "21" "6-04" "20261224"
2437 "784975" "15" 6273 "779574" "21" "6-04" "20261224"
2440 "784985" "15" 6276 "779583" "21" "6-04" "20261224"
2443 "785004" "15" 6279 "779601" "21" "6-04" "20261224"
missing_required_agency_id ERROR 1

missing_required_agency_id

Agency id is required when there are multiple agencies.

agency.agency_id, routes.agency_id or fare_attributes.agency_id is required when there are multiple agencies.

You can see more about this notice here.

filename (?) The name of the file where the error occurs. csvRowNumber (?) The row number in the source file where the error occurs.
"fare_attributes.txt" 2
stop_time_with_arrival_before_previous_departure_time ERROR 2

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.
80380 80379 "785242" "05:54:51" "06:04:00"
121510 121509 "779701" "05:54:51" "06:04:00"
expired_calendar WARNING 1

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.
6 "5"
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" 843
"stops.txt" "stop_name" "08-mai" 844
"stops.txt" "stop_name" "08-mai" 869
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"
stop_too_far_from_shape WARNING 4

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.
1502 "38939" "787270" 45806 "22065" "Collège Val de la Sensée" [50.28368699999999,3.1000840000000003] 111.87046534442949
1892 "38932" "785167" 58271 "22009" "Bourrelier" [50.277186,3.0383130000000005] 142.06896031548186
7043 "38933" "785169" 142375 "22009" "Bourrelier" [50.277186,3.0383130000000005] 142.06896031548186
1830 "38934" "785165" 56200 "22009" "Bourrelier" [50.277186,3.0383130000000005] 142.06896031548186
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.
"20260724" "20260831" "20270102"
big_gap_in_service INFO 12

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.
"1" "2026-07-10" "2026-08-24" 44
"2" "2026-07-10" "2026-08-24" 44
"10" "2026-10-16" "2026-11-02" 16
"11" "2026-10-10" "2026-11-07" 27
"12" "2026-10-14" "2026-11-04" 20
"14" "2026-10-30" "2026-12-21" 51
"15" "2026-10-31" "2026-12-19" 48
"16" "2026-10-31" "2026-12-19" 48
"17" "2026-10-16" "2026-11-02" 16
"18" "2026-10-16" "2026-11-02" 16
"19" "2026-10-14" "2026-11-04" 20
"23" "2026-10-16" "2026-11-02" 16
trip_with_shape_dist_traveled_but_no_shape_distances INFO 7216

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 7216 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
588 "766788" "37683" 18220
589 "766789" "37676" 18255
597 "766795" "37683" 18536
598 "766796" "37681" 18571
584 "766797" "37681" 18079
594 "766798" "37684" 18429
591 "766791" "37681" 18326
596 "766792" "37681" 18502
585 "766793" "37684" 18113
586 "766794" "37682" 18150
590 "766790" "37674" 18290
244 "766777" "37702" 7868
273 "766778" "37701" 8970
258 "766779" "37699" 8400
247 "766784" "37701" 7984
266 "766785" "37700" 8694
253 "766786" "37702" 8212
587 "766787" "37681" 18186
265 "766780" "37701" 8654
245 "766781" "37700" 7904
259 "766782" "37702" 8436
246 "766783" "37700" 7944
270 "766766" "37701" 8854
261 "766767" "37700" 8494
257 "766768" "37699" 8364
262 "766769" "37701" 8534
272 "766773" "37699" 8934
243 "766774" "37700" 7828
264 "766775" "37700" 8614
252 "766776" "37701" 8172
251 "766770" "37700" 8132
263 "766771" "37701" 8574
271 "766772" "37701" 8894
268 "766759" "37700" 8774
249 "766755" "37699" 8060
237 "766756" "37701" 7588
238 "766757" "37700" 7628
239 "766758" "37701" 7668
242 "766762" "37701" 7788
256 "766763" "37701" 8324
269 "766764" "37700" 8814
250 "766765" "37699" 8096
240 "766760" "37701" 7708
241 "766761" "37700" 7748
235 "766748" "37701" 7508
267 "766749" "37700" 8734
898 "766744" "37685" 27163
929 "766745" "37685" 28072
914 "766746" "37685" 27643
899 "766747" "37685" 27193