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

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T21:44:44Z,
for the dataset file:///shared/horaires-theoriques-et-temps_894e026b.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:
2026-03-09
Feed End Date:
2026-03-31

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: 2912

Specification Compliance report

2955 notices reported (0 errors, 2954 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2849

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 2849 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" 1823 0.0 2 1822 0.0 1 4.5010960344516283E-10
"44" 1839 1.026 18 1838 1.026 17 0.5029997547427544
"44" 1840 1.026 19 1839 1.026 18 2.864880156013758E-9
"44" 1848 1.26 27 1847 1.26 26 7.769749145459249E-10
"44" 1850 1.26 29 1849 1.26 28 7.769749145459249E-10
"44" 1865 1.865 44 1864 1.865 43 0.10293721739285423
"44" 1866 1.865 45 1865 1.865 44 0.10293721952198145
"44" 1867 1.865 46 1866 1.865 45 2.328646851214636E-9
"44" 1887 2.241 66 1886 2.241 65 0.13580290626378
"44" 1901 2.643 80 1900 2.643 79 0.5131011437026767
"44" 1903 2.644 82 1902 2.644 81 1.815371605197264E-9
"44" 1911 2.822 90 1910 2.822 89 1.2221796028598377E-9
"44" 1926 3.148 105 1925 3.148 104 0.4141810432242617
"44" 1928 3.149 107 1927 3.149 106 1.1703393382588376E-9
"44" 1955 4.055 134 1954 4.055 133 0.06696903600693221
"44" 1956 4.055 135 1955 4.055 134 1.0950875286665809E-9
"44" 1971 4.431 150 1970 4.431 149 7.422752210987135E-10
"44" 1972 4.431 151 1971 4.431 150 0.06626210692538369
"44" 1973 4.431 152 1972 4.431 151 0.06626210672503481
"44" 1983 4.809 162 1982 4.809 161 0.20386869877821043
"44" 1984 4.809 163 1983 4.809 162 0.2038686995009146
"44" 1985 4.809 164 1984 4.809 163 9.559749851331098E-10
"44" 2000 5.243 179 1999 5.243 178 3.2155388194239135E-11
"44" 2002 5.248 181 2001 5.248 180 1.511303493988272E-9
"44" 2005 5.354 184 2004 5.354 183 0.0488279218107379
"44" 2006 5.354 185 2005 5.354 184 0.08466774147529096
"44" 2007 5.354 186 2006 5.354 185 0.03584347087062804
"44" 2015 5.612 194 2014 5.612 193 1.2752546948754192E-9
"44" 2017 5.612 196 2016 5.612 195 1.2752546948754192E-9
"44" 2032 5.957 211 2031 5.957 210 9.346284041723331E-10
"44" 2034 5.958 213 2033 5.958 212 0.5774611809309713
"44" 2037 6.197 216 2036 6.197 215 2.8541680708986463E-9
"44" 2038 6.197 217 2037 6.197 216 0.3461177772420958
"44" 2070 7.016 249 2069 7.016 248 0.1753981791983036
"44" 2071 7.016 250 2070 7.016 249 0.1753981770389994
"44" 2072 7.016 251 2071 7.016 250 2.1760371453083314E-9
"44" 2093 7.413 272 2092 7.413 271 3.5626624388111267E-9
"44" 2095 7.413 274 2094 7.413 273 3.5626624388111267E-9
"44" 2119 7.826 298 2118 7.826 297 0.1816881142857985
"44" 2120 7.826 299 2119 7.826 298 1.5816508248164857E-9
"44" 2132 8.199 311 2131 8.199 310 1.0003574647722363E-9
"44" 2133 8.199 312 2132 8.199 311 0.3650073124011615
"44" 2141 8.487 320 2140 8.487 319 2.57730831894537E-9
"44" 2142 8.487 321 2141 8.487 320 0.2996370526944644
"44" 2143 8.487 322 2142 8.487 321 0.2996370510276969
"44" 2149 8.827 328 2148 8.827 327 1.553967929225373E-9
"45" 17834 0.0 2 17833 0.0 1 0.03061959136826556
"45" 17839 0.214 7 17838 0.214 6 1.0930752467082243E-9
"45" 17841 0.214 9 17840 0.214 8 1.0930752467082243E-9
"45" 17850 0.691 18 17849 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" 1849 1.26 28 1848 1.26 27
"44" 2016 5.612 195 2015 5.612 194
"44" 2094 7.413 273 2093 7.413 272
"45" 17840 0.214 8 17839 0.214 7
"46" 17671 0.214 8 17670 0.214 7
"46" 17700 1.314 37 17699 1.314 36
"47" 11205 1.484 41 11204 1.484 40
"47" 11372 5.836 208 11371 5.836 207
"47" 11450 7.637 286 11449 7.637 285
"48" 5954 2.198 99 5953 2.198 98
"48" 6009 3.686 154 6008 3.686 153
"48" 6031 4.035 176 6030 4.035 175
"48" 6100 5.867 245 6099 5.867 244
"48" 6123 6.52 268 6122 6.52 267
"49" 17540 2.89 89 17539 2.89 88
"50" 11949 2.034 52 11948 2.034 51
"51" 4569 9.256 276 4568 9.256 275
"53" 18544 0.693 27 18543 0.693 26
"54" 1517 0.693 27 1516 0.693 26
"54" 1812 11.463 322 1811 11.463 321
"10" 3725 7.193 308 3724 7.193 307
"55" 13094 0.693 27 13093 0.693 26
"55" 13123 1.793 56 13122 1.793 55
"11" 16176 3.548 145 16175 3.548 144
"12" 15298 2.909 141 15297 2.909 140
"56" 16334 3.476 130 16333 3.476 129
"13" 610 0.917 47 609 0.917 46
"13" 774 5.708 211 773 5.708 210
"13" 781 5.827 218 780 5.827 217
"13" 835 7.619 272 834 7.619 271
"13" 852 8.273 289 851 8.273 288
"58" 992 3.082 118 991 3.082 117
"14" 8184 2.808 74 8183 2.808 73
"59" 17392 1.862 50 17391 1.862 49
"16" 64 1.413 63 63 1.413 62
"16" 155 4.316 154 154 4.316 153
"17" 14855 1.413 63 14854 1.413 62
"17" 14950 4.316 158 14949 4.316 157
"17" 15135 8.793 343 15134 8.793 342
"1" 7392 0.157 6 7391 0.157 5
"1" 7623 7.9 237 7622 7.9 236
"1" 7701 9.828 315 7700 9.828 314
"2" 3053 7.686 92 3052 7.686 91
"2" 3409 22.613 448 3408 22.613 447
"7" 9153 5.259 133 9152 5.259 132
"7" 9463 16.528 443 9462 16.528 442
"8" 10509 6.314 248 10508 6.314 247
"8" 10549 7.878 288 10548 7.878 287
"8" 10608 9.985 347 10607 9.985 346
"9" 5525 13.741 408 5524 13.741 407
expired_calendar WARNING 3

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 "10_Dimanche_Sco"
7 "8_LMMJV_Pvs_Av"
8 "9_Samedi_Sco_V"
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.
2174 "1400000250" "B" 162.0308746401205 0.2250428814446118 50374 29 "LES_TE" "Les Tertres" "19:37:10" 50375 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 "20260323" "20260331" "20260422"
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