horaires-theoriques-et-temps — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-06-05T19:37:36Z,
for the dataset file:///shared/horaires-theoriques-et-temps_109a258c.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
RD Béziers Méditerranée
Publisher URL:
https://beemob.fr/fr/
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-04-29
Feed End Date:
2026-07-03

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 27
  • Shapes: 73
  • Stops: 610
  • Trips: 4806

Specification Compliance report

2988 notices reported (0 errors, 2987 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2882

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 2882 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"44" 19220 0.0 2 19219 0.0 1 0.12423052240882813
"44" 19234 0.687 16 19233 0.687 15 2.606738766218264E-9
"44" 19236 0.694 18 19235 0.694 17 2.3009071847102612E-9
"44" 19265 1.417 47 19264 1.417 46 8.219038173185502E-10
"44" 19266 1.417 48 19265 1.417 47 0.3910853910929426
"44" 19271 1.697 53 19270 1.697 52 0.1794914364520968
"44" 19272 1.697 54 19271 1.697 53 0.17949143523200284
"44" 19273 1.697 55 19272 1.697 54 1.288002526804214E-9
"44" 19287 2.23 69 19286 2.23 68 2.8978943471638226E-10
"44" 19288 2.23 70 19287 2.23 69 0.07051178657786332
"44" 19289 2.23 71 19288 2.23 70 0.07051178681677563
"44" 19300 2.493 82 19299 2.493 81 0.5333042122216747
"44" 19302 2.494 84 19301 2.494 83 3.541946469460592E-10
"44" 19312 2.803 94 19311 2.803 93 1.4205000076449449E-9
"44" 19313 2.803 95 19312 2.803 94 0.3690208334036505
"44" 19314 2.803 96 19313 2.803 95 0.3690208322520352
"44" 19317 3.229 99 19316 3.229 98 7.910633780014498E-10
"44" 19319 3.23 101 19318 3.23 100 0.5598776877072795
"44" 19322 3.647 104 19321 3.647 103 0.3991751134798793
"44" 19324 3.648 106 19323 3.648 105 1.4205008934745666E-9
"44" 19336 4.197 118 19335 4.197 117 2.8382637012989966E-9
"44" 19337 4.197 119 19336 4.197 118 0.31781253816833105
"44" 19338 4.197 120 19337 4.197 119 0.31781253680519644
"44" 19343 4.588 125 19342 4.588 124 7.407370136631602E-10
"44" 19345 4.589 127 19344 4.589 126 0.5502438427705734
"44" 19349 4.86 131 19348 4.86 130 3.3288863969760607E-9
"44" 19351 4.864 133 19350 4.864 132 5.379302646101847E-4
"44" 19358 5.2 140 19357 5.2 139 9.78650879766752E-10
"44" 19360 5.204 142 19359 5.204 141 8.060266487160126E-10
"44" 19375 5.762 157 19374 5.762 156 0.35614271752750193
"44" 19376 5.762 158 19375 5.762 157 2.3832752454831205E-9
"44" 19421 7.886 203 19420 7.886 202 1.9971486108269115E-9
"44" 19423 7.887 205 19422 7.887 204 0.21849028674469187
"44" 19443 8.704 225 19442 8.704 224 2.898358699941999E-10
"45" 459 0.0 2 458 0.0 1 4.5010960344516283E-10
"45" 475 1.026 18 474 1.026 17 0.5029997547427544
"45" 476 1.026 19 475 1.026 18 2.864880156013758E-9
"45" 484 1.26 27 483 1.26 26 7.769749145459249E-10
"45" 486 1.26 29 485 1.26 28 7.769749145459249E-10
"45" 501 1.865 44 500 1.865 43 0.10293721739285423
"45" 502 1.865 45 501 1.865 44 0.10293721952198145
"45" 503 1.865 46 502 1.865 45 2.328646851214636E-9
"45" 520 2.415 63 519 2.415 62 0.06696903708827501
"45" 521 2.415 64 520 2.415 63 0.06696903600693221
"45" 522 2.415 65 521 2.415 64 1.0950875286665809E-9
"45" 537 2.791 80 536 2.791 79 7.422752210987135E-10
"45" 538 2.791 81 537 2.791 80 0.06626210692538369
"45" 539 2.791 82 538 2.791 81 0.06626210672503481
"45" 550 3.17 93 549 3.17 92 0.2038686995009146
"45" 551 3.17 94 550 3.17 93 9.559749851331098E-10
equal_shape_distance_same_coordinates WARNING 98

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 98 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"45" 485 1.26 28 484 1.26 27
"45" 582 3.973 125 581 3.973 124
"45" 660 5.773 203 659 5.773 202
"46" 14654 1.26 28 14653 1.26 27
"46" 14821 5.612 195 14820 5.612 194
"46" 14899 7.413 273 14898 7.413 272
"47" 10110 0.214 8 10109 0.214 7
"48" 16472 0.214 8 16471 0.214 7
"48" 16501 1.314 37 16500 1.314 36
"49" 5107 1.484 41 5106 1.484 40
"49" 5274 5.836 208 5273 5.836 207
"49" 5352 7.637 286 5351 7.637 285
"50" 9124 2.198 99 9123 2.198 98
"50" 9179 3.686 154 9178 3.686 153
"50" 9201 4.035 176 9200 4.035 175
"50" 9270 5.867 245 9269 5.867 244
"50" 9293 6.52 268 9292 6.52 267
"52" 18091 2.89 89 18090 2.89 88
"53" 12206 2.034 52 12205 2.034 51
"54" 5031 9.256 276 5030 9.256 275
"10" 13693 7.193 308 13692 7.193 307
"11" 11099 3.548 145 11098 3.548 144
"12" 1531 2.909 141 1530 2.909 140
"56" 18241 0.693 27 18240 0.693 26
"13" 762 0.917 47 761 0.917 46
"13" 926 5.708 211 925 5.708 210
"13" 933 5.827 218 932 5.827 217
"13" 987 7.619 272 986 7.619 271
"13" 1004 8.273 289 1003 8.273 288
"57" 14322 0.693 27 14321 0.693 26
"57" 14617 11.463 322 14616 11.463 321
"58" 8864 0.693 27 8863 0.693 26
"58" 8893 1.793 56 8892 1.793 55
"14" 18990 2.808 74 18989 2.808 73
"59" 13000 3.476 130 12999 3.476 129
"16" 6303 1.413 63 6302 1.413 62
"16" 6394 4.316 154 6393 4.316 153
"17" 5470 1.413 63 5469 1.413 62
"17" 5565 4.316 158 5564 4.316 157
"17" 5750 8.793 343 5749 8.793 342
"1" 8025 0.157 6 8024 0.157 5
"1" 8256 7.9 237 8255 7.9 236
"1" 8334 9.828 315 8333 9.828 314
"2" 93 7.686 92 92 7.686 91
"2" 449 22.613 448 448 22.613 447
"7" 10521 5.259 133 10520 5.259 132
"7" 10831 16.528 443 10830 16.528 442
"8" 4545 6.314 248 4544 6.314 247
"8" 4585 7.878 288 4584 7.878 287
"8" 4644 9.985 347 4643 9.985 346
expired_calendar WARNING 2

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.
4 "18_LMMJV_Pvs_SA"
6 "20_LMJV_Sco_V11"
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.
4691 "1700000192" "B" 162.0308746401205 0.2250428814446118 107645 29 "LES_TE" "Les Tertres" "19:37:10" 107646 30 "DORAT" "Dorat" "19:37:15"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260605" "20260703" "20260705"
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
mixed_case_recommended_field WARNING 1

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.
"stops.txt" "stop_name" "coopérative" 142
route_long_name_contains_short_name WARNING 1

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`.
"TT" 28 "TT" "TT"
unknown_column INFO 1

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_sort_order" 9