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

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-12T00:43:05Z,
for the dataset file:///shared/horaires-theoriques-et-temps_5b906da7.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:
2026-09-10
Feed End Date:
2026-10-18

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: 29
  • Shapes: 55
  • Stops: 611
  • Trips: 2585

Specification Compliance report

2800 notices reported (0 errors, 2402 warnings, 398 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 2283

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 2283 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" 2105 0.0 2 2104 0.0 1 1.5673750937546233E-9
"44" 2115 0.273 12 2114 0.273 11 0.4274149289621873
"44" 2116 0.273 13 2115 0.273 12 1.1569311827091116E-9
"44" 2145 0.976 42 2144 0.976 41 1.4581565761761332E-9
"44" 2146 0.976 43 2145 0.976 42 0.4291393252081251
"44" 2147 0.976 44 2146 0.976 43 0.42913932656470233
"44" 2149 1.231 46 2148 1.231 45 1.2219144936436333E-9
"44" 2151 1.232 48 2150 1.232 47 0.5769432088283534
"44" 2168 1.446 65 2167 1.446 64 0.11488220054132327
"44" 2170 1.447 67 2169 1.447 66 1.5538533619866157E-9
"44" 2192 2.23 89 2191 2.23 88 0.4036754765286559
"44" 2194 2.231 91 2193 2.231 90 1.1700663404821124E-9
"44" 2206 2.619 103 2205 2.619 102 0.25291147949307213
"44" 2208 2.62 105 2207 2.62 104 1.4581595574171184E-9
"44" 2216 3.033 113 2215 3.033 112 0.08940080119977147
"44" 2217 3.033 114 2216 3.033 113 0.19155543978073228
"44" 2218 3.033 115 2217 3.033 114 0.10224739604703718
"44" 2223 3.251 120 2222 3.251 119 0.17010960030983296
"44" 2224 3.251 121 2223 3.251 120 0.17010960258915395
"44" 2225 3.251 122 2224 3.251 121 3.1657681622965416E-9
"44" 2229 3.555 126 2228 3.555 125 1.7876398499951256E-9
"44" 2231 3.555 128 2230 3.555 127 1.7876398499951256E-9
"44" 2239 3.735 136 2238 3.735 135 9.77740836246386E-10
"44" 2240 3.735 137 2239 3.735 136 0.19373270434405906
"44" 2241 3.735 138 2240 3.735 137 0.19373270356231792
"44" 2248 3.917 145 2247 3.917 144 0.22020655564093747
"44" 2250 3.918 147 2249 3.918 146 2.9251682862295683E-9
"44" 2264 4.341 161 2263 4.341 160 0.1179692746333409
"44" 2265 4.341 162 2264 4.341 161 0.11796927312088572
"44" 2266 4.341 163 2265 4.341 162 2.5717044836631592E-9
"44" 2278 4.675 175 2277 4.675 174 8.215608604073939E-10
"44" 2280 4.675 177 2279 4.675 176 8.215608604073939E-10
"44" 2286 5.139 183 2285 5.139 182 0.24877222033435822
"44" 2292 5.472 189 2291 5.472 188 5.144007067792896E-10
"44" 2300 5.952 197 2299 5.952 196 1.7683128727123989E-9
"44" 2302 5.955 199 2301 5.955 198 0.4244491005812828
"44" 2305 6.138 202 2304 6.138 201 0.22627898716945075
"44" 2307 6.139 204 2306 6.139 203 9.139152587123319E-10
"44" 2309 6.338 206 2308 6.338 205 0.2556372474266952
"44" 2310 6.338 207 2309 6.338 206 0.25563724685236494
"44" 2311 6.338 208 2310 6.338 207 8.35967676836813E-10
"44" 2316 6.549 213 2315 6.549 212 7.102413353840446E-10
"44" 2318 6.549 215 2317 6.549 214 7.102413353840446E-10
"44" 2324 6.879 221 2323 6.879 220 0.3680953644921328
"44" 2326 6.88 223 2325 6.88 222 2.978364742641043E-9
"44" 2344 7.672 241 2343 7.672 240 0.3792996227873564
"44" 2346 7.675 243 2345 7.675 242 4.5010960344516283E-10
"44" 2352 7.87 249 2351 7.87 248 9.32373271528029E-10
"44" 2353 7.87 250 2352 7.87 249 0.026700090954599895
"44" 2354 7.87 251 2353 7.87 250 0.026700091787876284
equal_shape_distance_same_coordinates WARNING 90

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 90 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" 2230 3.555 127 2229 3.555 126
"44" 2279 4.675 176 2278 4.675 175
"44" 2317 6.549 214 2316 6.549 213
"44" 2380 8.661 277 2379 8.661 276
"44" 2502 11.495 399 2501 11.495 398
"46" 14591 0.809 20 14590 0.809 19
"46" 14904 18.694 333 14903 18.694 332
"47" 8465 0.809 20 8464 0.809 19
"47" 8733 14.558 288 8732 14.558 287
"47" 8742 14.791 297 8741 14.791 296
"48" 4769 0.738 13 4768 0.738 12
"48" 4866 4.234 110 4865 4.234 109
"48" 4930 6.354 174 4929 6.354 173
"49" 15784 0.738 13 15783 0.738 12
"49" 15881 4.234 110 15880 4.234 109
"50" 10367 1.383 31 10366 1.383 30
"50" 10488 5.401 152 10487 5.401 151
"51" 1639 6.457 167 1638 6.457 166
"51" 1790 12.293 318 1789 12.293 317
"51" 1980 20.019 508 1979 20.019 507
"52" 8435 12.035 239 8434 12.035 238
"53" 12215 0.366 15 12214 0.366 14
"53" 12238 1.152 38 12237 1.152 37
"53" 12254 1.578 54 12253 1.578 53
"53" 12333 5.237 133 12332 5.237 132
"53" 12435 9.08 235 12434 9.08 234
"10" 1196 1.314 43 1195 1.314 42
"55" 5888 6.472 206 5887 6.472 205
"12" 14096 0.26 11 14095 0.26 10
"14" 7561 1.207 34 7560 1.207 33
"14" 7620 3.314 93 7619 3.314 92
"14" 7886 8.905 359 7885 8.905 358
"15" 340 3.098 104 339 3.098 103
"15" 479 9.112 243 478 9.112 242
"16" 8940 2.42 92 8939 2.42 91
"17" 3679 4.261 123 3678 4.261 122
"17" 3776 7.757 220 3775 7.757 219
"18" 7446 15.606 394 7445 15.606 393
"1" 6042 7.686 91 6041 7.686 90
"4" 14204 1.256 57 14203 1.256 56
"4" 14355 5.993 208 14354 5.993 207
"4" 14372 6.647 225 14371 6.647 224
"4" 14388 7.303 241 14387 7.303 240
"5" 13342 1.413 63 13341 1.413 62
"5" 13433 4.316 154 13432 4.316 153
"6" 12634 1.413 63 12633 1.413 62
"6" 12729 4.316 158 12728 4.316 157
"6" 12914 8.793 343 12913 8.793 342
"8" 10775 1.713 74 10774 1.713 73
"9" 4356 1.209 40 4355 1.209 39
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.
2 "46_LMJV_SCOLAIR"
fast_travel_between_consecutive_stops WARNING 4

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.
39 "51000055" "11" 155.21352437976313 0.2155743394163377 946 17 "JEAN_2" "Jean Moulin" "11:15:55" 947 18 "MAUPAS" "Maupassant" "11:16:00"
1610 "50000867" "11" 155.21352437976313 0.2155743394163377 946 17 "JEAN_2" "Jean Moulin" "11:15:55" 947 18 "MAUPAS" "Maupassant" "11:16:00"
41 "51000058" "11" 155.21352437976313 0.2155743394163377 1034 17 "JEAN_2" "Jean Moulin" "12:26:10" 1035 18 "MAUPAS" "Maupassant" "12:26:15"
1612 "50000869" "11" 155.21352437976313 0.2155743394163377 1034 17 "JEAN_2" "Jean Moulin" "12:26:10" 1035 18 "MAUPAS" "Maupassant" "12:26:15"
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" 150
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`.
"17" 18 "17" "17"
service_has_no_active_day_of_the_week WARNING 5

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
2 "46_LMJV_SCOLAIR"
3 "48_Samedi_V2"
4 "49_Dimanche_JF_"
5 "50_LMJV_SCOLAIR"
6 "51_MERCREDI_SCO"
stop_too_far_from_shape_using_user_distance WARNING 16

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

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.
101 "44" "51000204" 3267 "GOUNO1" "Gounod" [43.34248785278764,3.224528997185052] 110.21739750026312
101 "44" "51000204" 3268 "IMMAC1" "Immaculée Conception" [43.34098000073063,3.22520577997811] 114.29469734554688
101 "44" "51000204" 3269 "BAZIN" "Bazin" [43.33967125931623,3.2268733756607695] 114.79512205527269
101 "44" "51000204" 3270 "PLACE4" "Place Injalbert" [43.338471393392766,3.2287929118543826] 115.61901236231681
101 "44" "51000204" 3271 "FARMAN" "Farman" [43.338178444871296,3.232837777968508] 115.19316123867914
101 "44" "51000204" 3272 "JEAN_P" "Jean Perrin" [43.34152081646361,3.2375560526622973] 114.64668328997512
101 "44" "51000204" 3273 "VILLON" "Villon" [43.342801443378,3.2385188475843245] 118.92583683104287
101 "44" "51000204" 3274 "NOBEL1" "Nobel" [43.34180239203613,3.24387173868038] 117.57940105481055
101 "44" "51000204" 3275 "MENDE1" "Mendès France" [43.341326666759976,3.2476871429600482] 116.2642124931873
101 "44" "51000204" 3276 "FOUCA1" "De Foucauld" [43.3423800001186,3.250425000217425] 100.01162974391893
101 "44" "51000204" 3278 "LES_F1" "Les Feuillantines" [43.34450592748494,3.249773248330882] 117.81442334721527
101 "44" "51000204" 3279 "BAYOU1" "Bayou" [43.34454000514087,3.252036284152987] 118.28597375918653
101 "44" "51000204" 3281 "BIR_HA" "Bir Hakeim" [43.34285400005504,3.2578320002775176] 100.43778344378845
101 "44" "51000204" 3282 "MONTE" "Monte Cassino" [43.33854389225587,3.259692875332441] 117.1545990049131
101 "44" "51000204" 3283 "OLYMP1" "Olympiades" [43.33448000007977,3.2616505882352946] 116.3811693651373
101 "44" "51000204" 3285 "C_CIA" "C.C. Montimaran" [43.34064666667141,3.2641566666641046] 144.82838768014403
service_window_outside_feed_period INFO 4

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"48_Samedi_V2" "2026-09-05" "2026-10-17" 5 0
"49_Dimanche_JF_" "2026-09-06" "2026-10-18" 4 0
"50_LMJV_SCOLAIR" "2026-09-07" "2026-10-16" 3 0
"51_MERCREDI_SCO" "2026-09-09" "2026-10-14" 1 0
trip_headsign_matches_intermediate_stop INFO 357

trip_headsign_matches_intermediate_stop

Trip headsign matches the name of an intermediate stop, not the last stop.

The trip_headsign matches the stop_name of a stop that is not the last stop of the trip. This may confuse passengers boarding after that stop, since the headsign suggests the vehicle is heading to a stop it has already passed.

You can see more about this notice here.

Only the first 50 of 357 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record in `trips.txt`. tripId (?) The id of the trip with the problematic headsign. tripHeadsign (?) The headsign value that matches an intermediate stop name. stopId1 (?) The id of the intermediate stop whose name matches the headsign. stopSequence (?) The stop_sequence value of the intermediate stop that matches the headsign. stopId2 (?) The id of the actual last stop of the trip.
335 "51000546" "K. Adenauer" "KAD13" 1 "KAD12"
336 "51000547" "K. Adenauer" "KAD13" 1 "KAD12"
483 "51000773" "de Gaulle" "DEGA11" 1 "DEG11"
484 "51000774" "de Gaulle" "DEGA11" 1 "DEG11"
485 "51000775" "de Gaulle" "DEGA11" 1 "DEG11"
486 "51000776" "de Gaulle" "DEGA11" 1 "DEG11"
487 "51000777" "de Gaulle" "DEGA11" 1 "DEG11"
488 "51000778" "de Gaulle" "DEGA11" 1 "DEG11"
489 "51000779" "de Gaulle" "DEGA11" 1 "DEG11"
490 "51000780" "de Gaulle" "DEGA11" 1 "DEG11"
491 "51000781" "de Gaulle" "DEGA11" 1 "DEG11"
492 "51000782" "de Gaulle" "DEGA11" 1 "DEG11"
493 "51000783" "de Gaulle" "DEGA11" 1 "DEG11"
494 "51000784" "de Gaulle" "DEGA11" 1 "DEG11"
495 "51000785" "de Gaulle" "DEGA11" 1 "DEG11"
496 "51000786" "de Gaulle" "DEGA11" 1 "DEG11"
497 "51000787" "de Gaulle" "DEGA11" 1 "DEG11"
498 "51000788" "de Gaulle" "DEGA11" 1 "DEG11"
499 "51000789" "de Gaulle" "DEGA11" 1 "DEG11"
500 "51000790" "de Gaulle" "DEGA11" 1 "DEG11"
501 "51000791" "de Gaulle" "DEGA11" 1 "DEG11"
502 "51000792" "de Gaulle" "DEGA11" 1 "DEG11"
503 "51000793" "de Gaulle" "DEGA11" 1 "DEG11"
504 "51000794" "de Gaulle" "DEGA11" 1 "DEG11"
505 "51000795" "de Gaulle" "DEGA11" 1 "DEG11"
506 "51000796" "de Gaulle" "DEGA11" 1 "DEG11"
507 "51000797" "de Gaulle" "DEGA11" 1 "DEG11"
508 "51000798" "de Gaulle" "DEGA11" 1 "DEG11"
509 "51000799" "de Gaulle" "DEGA11" 1 "DEG11"
510 "51000800" "de Gaulle" "DEGA11" 1 "DEG11"
511 "51000801" "de Gaulle" "DEGA11" 1 "DEG11"
512 "51000802" "de Gaulle" "DEGA11" 1 "DEG11"
513 "51000803" "de Gaulle" "DEGA11" 1 "DEG11"
514 "51000804" "de Gaulle" "DEGA11" 1 "DEG11"
515 "51000805" "de Gaulle" "DEGA11" 1 "DEG11"
516 "51000806" "de Gaulle" "DEGA11" 1 "DEG11"
517 "51000807" "de Gaulle" "DEGA11" 1 "DEG11"
518 "51000808" "de Gaulle" "DEGA11" 1 "DEG11"
519 "51000809" "de Gaulle" "DEGA11" 1 "DEG11"
608 "51000915" "de Gaulle" "DEGA11" 1 "DEG11"
609 "51000916" "de Gaulle" "DEGA11" 1 "DEG11"
610 "51000917" "de Gaulle" "DEGA11" 1 "DEG11"
611 "51000918" "de Gaulle" "DEGA11" 1 "DEG11"
612 "51000919" "de Gaulle" "DEGA11" 1 "DEG11"
613 "51000920" "de Gaulle" "DEGA11" 1 "DEG11"
614 "51000921" "de Gaulle" "DEGA11" 1 "DEG11"
615 "51000922" "de Gaulle" "DEGA11" 1 "DEG11"
616 "51000923" "de Gaulle" "DEGA11" 1 "DEG11"
617 "51000924" "de Gaulle" "DEGA11" 1 "DEG11"
618 "51000925" "de Gaulle" "DEGA11" 1 "DEG11"
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
unsorted_stop_times INFO 36

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"51000536" 10255 10276
"51000432" 7666 7689
"51000431" 7642 7665
"51000430" 7618 7641
"51000425" 7546 7569
"51000422" 7522 7545
"51000427" 7594 7617
"51000426" 7570 7593
"51000443" 7882 7905
"51000442" 7858 7881
"51000441" 7834 7857
"51000440" 7810 7833
"51000435" 7738 7761
"51000434" 7714 7737
"51000433" 7690 7713
"51000439" 7786 7809
"51000438" 7762 7785
"50000442" 33093 33114
"50001069" 44582 44605
"50001068" 44558 44581
"50001065" 44486 44509
"50001064" 44462 44485
"50001067" 44534 44557
"50001066" 44510 44533
"50001061" 44390 44413
"50001060" 44366 44389
"50001063" 44438 44461
"50001062" 44414 44437
"50001058" 44318 44341
"50001057" 44294 44317
"50001059" 44342 44365
"50001054" 44222 44245
"50001056" 44270 44293
"50001055" 44246 44269
"50000619" 35907 35919
"50000618" 35894 35906