GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T09:13:54Z,
for the dataset file:///shared/horaires-theoriques-et-temps_d7bee885.zip. No country code was provided.

Use this report alongside our documentation.

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:
2026-04-08
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: 26
  • Shapes: 69
  • Stops: 610
  • Trips: 7566

Specification Compliance report

2962 notices reported (0 errors, 2961 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2855

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 2855 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" 15641 0.0 2 15640 0.0 1 4.5010960344516283E-10
"44" 15657 1.026 18 15656 1.026 17 0.5029997547427544
"44" 15658 1.026 19 15657 1.026 18 2.864880156013758E-9
"44" 15666 1.26 27 15665 1.26 26 7.769749145459249E-10
"44" 15668 1.26 29 15667 1.26 28 7.769749145459249E-10
"44" 15683 1.865 44 15682 1.865 43 0.10293721739285423
"44" 15684 1.865 45 15683 1.865 44 0.10293721952198145
"44" 15685 1.865 46 15684 1.865 45 2.328646851214636E-9
"44" 15705 2.241 66 15704 2.241 65 0.13580290626378
"44" 15719 2.643 80 15718 2.643 79 0.5131011437026767
"44" 15721 2.644 82 15720 2.644 81 1.815371605197264E-9
"44" 15729 2.822 90 15728 2.822 89 1.2221796028598377E-9
"44" 15744 3.148 105 15743 3.148 104 0.4141810432242617
"44" 15746 3.149 107 15745 3.149 106 1.1703393382588376E-9
"44" 15773 4.055 134 15772 4.055 133 0.06696903600693221
"44" 15774 4.055 135 15773 4.055 134 1.0950875286665809E-9
"44" 15789 4.431 150 15788 4.431 149 7.422752210987135E-10
"44" 15790 4.431 151 15789 4.431 150 0.06626210692538369
"44" 15791 4.431 152 15790 4.431 151 0.06626210672503481
"44" 15801 4.809 162 15800 4.809 161 0.20386869877821043
"44" 15802 4.809 163 15801 4.809 162 0.2038686995009146
"44" 15803 4.809 164 15802 4.809 163 9.559749851331098E-10
"44" 15818 5.243 179 15817 5.243 178 3.2155388194239135E-11
"44" 15820 5.248 181 15819 5.248 180 1.511303493988272E-9
"44" 15823 5.354 184 15822 5.354 183 0.0488279218107379
"44" 15824 5.354 185 15823 5.354 184 0.08466774147529096
"44" 15825 5.354 186 15824 5.354 185 0.03584347087062804
"44" 15833 5.612 194 15832 5.612 193 1.2752546948754192E-9
"44" 15835 5.612 196 15834 5.612 195 1.2752546948754192E-9
"44" 15850 5.957 211 15849 5.957 210 9.346284041723331E-10
"44" 15852 5.958 213 15851 5.958 212 0.5774611809309713
"44" 15855 6.197 216 15854 6.197 215 2.8541680708986463E-9
"44" 15856 6.197 217 15855 6.197 216 0.3461177772420958
"44" 15888 7.016 249 15887 7.016 248 0.1753981791983036
"44" 15889 7.016 250 15888 7.016 249 0.1753981770389994
"44" 15890 7.016 251 15889 7.016 250 2.1760371453083314E-9
"44" 15911 7.413 272 15910 7.413 271 3.5626624388111267E-9
"44" 15913 7.413 274 15912 7.413 273 3.5626624388111267E-9
"44" 15937 7.826 298 15936 7.826 297 0.1816881142857985
"44" 15938 7.826 299 15937 7.826 298 1.5816508248164857E-9
"44" 15950 8.199 311 15949 8.199 310 1.0003574647722363E-9
"44" 15951 8.199 312 15950 8.199 311 0.3650073124011615
"44" 15959 8.487 320 15958 8.487 319 2.57730831894537E-9
"44" 15960 8.487 321 15959 8.487 320 0.2996370526944644
"44" 15961 8.487 322 15960 8.487 321 0.2996370510276969
"44" 15967 8.827 328 15966 8.827 327 1.553967929225373E-9
"45" 18540 0.0 2 18539 0.0 1 0.03061959136826556
"45" 18545 0.214 7 18544 0.214 6 1.0930752467082243E-9
"45" 18547 0.214 9 18546 0.214 8 1.0930752467082243E-9
"45" 18556 0.691 18 18555 0.691 17 2.3049898296221875E-9
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`.
"44" 15667 1.26 28 15666 1.26 27
"44" 15834 5.612 195 15833 5.612 194
"44" 15912 7.413 273 15911 7.413 272
"45" 18546 0.214 8 18545 0.214 7
"46" 18119 0.214 8 18118 0.214 7
"46" 18148 1.314 37 18147 1.314 36
"47" 17087 1.484 41 17086 1.484 40
"47" 17254 5.836 208 17253 5.836 207
"47" 17332 7.637 286 17331 7.637 285
"48" 1598 2.198 99 1597 2.198 98
"48" 1653 3.686 154 1652 3.686 153
"48" 1675 4.035 176 1674 4.035 175
"48" 1744 5.867 245 1743 5.867 244
"48" 1767 6.52 268 1766 6.52 267
"49" 9722 2.89 89 9721 2.89 88
"50" 9078 2.034 52 9077 2.034 51
"51" 14614 9.256 276 14613 9.256 275
"53" 18992 0.693 27 18991 0.693 26
"10" 7161 7.193 308 7160 7.193 307
"54" 14676 0.693 27 14675 0.693 26
"54" 14971 11.463 322 14970 11.463 321
"11" 7908 3.548 145 7907 3.548 144
"55" 17414 0.693 27 17413 0.693 26
"55" 17443 1.793 56 17442 1.793 55
"56" 2651 3.476 130 2650 3.476 129
"12" 11008 2.909 141 11007 2.909 140
"13" 9369 0.917 47 9368 0.917 46
"13" 9533 5.708 211 9532 5.708 210
"13" 9540 5.827 218 9539 5.827 217
"13" 9594 7.619 272 9593 7.619 271
"13" 9611 8.273 289 9610 8.273 288
"58" 12758 3.082 118 12757 3.082 117
"14" 13885 2.808 74 13884 2.808 73
"59" 6088 1.862 50 6087 1.862 49
"16" 16119 1.413 63 16118 1.413 62
"16" 16210 4.316 154 16209 4.316 153
"17" 15043 1.413 63 15042 1.413 62
"17" 15138 4.316 158 15137 4.316 157
"17" 15323 8.793 343 15322 8.793 342
"1" 4887 0.157 6 4886 0.157 5
"1" 5118 7.9 237 5117 7.9 236
"1" 5196 9.828 315 5195 9.828 314
"2" 10503 7.686 92 10502 7.686 91
"2" 10859 22.613 448 10858 22.613 447
"7" 11201 5.259 133 11200 5.259 132
"7" 11511 16.528 443 11510 16.528 442
"8" 8281 6.314 248 8280 6.314 247
"8" 8321 7.878 288 8320 7.878 287
"8" 8380 9.985 347 8379 9.985 346
"9" 14302 13.741 408 14301 13.741 407
expired_calendar WARNING 4

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 "11_LMJV_Sco_V10"
3 "12_Mercredi_Sco"
4 "13_Samedi_Sco_V"
5 "14_Dimanche_Sco"
fast_travel_between_consecutive_stops WARNING 2

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.
984 "1400000203" "B" 162.0308746401205 0.2250428814446118 23087 29 "LES_TE" "Les Tertres" "19:37:10" 23088 30 "DORAT" "Dorat" "19:37:15"
4759 "1700000192" "B" 162.0308746401205 0.2250428814446118 109430 29 "LES_TE" "Les Tertres" "19:37:10" 109431 30 "DORAT" "Dorat" "19:37:15"
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
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