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sem-mobilites — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T20:03:28Z,
for the dataset file:///shared/sem-mobilites_891d185f.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Mobilités M - Métropole Grenobloise
Feed Email:
N/A
Feed Language:
French

Files included

  1. agency.txt
  2. booking_rules.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. frequencies.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. trips.txt

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 54
  • Shapes: 145
  • Stops: 2502
  • Trips: 21428

Specification Compliance report

166 notices reported (0 errors, 165 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 103

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 103 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`.
"SEM_17_1" 56996 6906.37 236 56995 6906.37 235
"SEM_17_2" 41437 3588.1 137 41436 3588.1 136
"SEM_16_4" 50988 3722.32 142 50987 3722.32 141
"SEM_16_4" 51191 9776.58 345 51190 9776.58 344
"SEM_73_2" 49375 5438.94 96 49374 5438.94 95
"SEM_73_2" 49436 9053.91 157 49435 9053.91 156
"SEM_73_2" 49438 9059.1 159 49437 9059.1 158
"SEM_73_2" 49441 9168.2 162 49440 9168.2 161
"SEM_73_2" 49443 9181.48 164 49442 9181.48 163
"SEM_73_2" 49448 9337.77 169 49447 9337.77 168
"SEM_73_2" 49467 10060.5 188 49466 10060.5 187
"SEM_73_2" 49469 10071.11 190 49468 10071.11 189
"SEM_73_2" 49472 10090.7 193 49471 10090.7 192
"SEM_73_2" 49477 10116.61 198 49476 10116.61 197
"SEM_73_2" 49483 10195.66 204 49482 10195.66 203
"SEM_73_2" 49490 10295.97 211 49489 10295.97 210
"SEM_73_2" 49494 10329.98 215 49493 10329.98 214
"SEM_73_2" 49518 10901.08 239 49517 10901.08 238
"SEM_73_2" 49523 10999.2 244 49522 10999.2 243
"SEM_73_2" 49553 11628.13 274 49552 11628.13 273
"SEM_73_2" 49560 11711.1 281 49559 11711.1 280
"SEM_73_2" 49563 11724.83 284 49562 11724.83 283
"SEM_73_2" 49574 11987.68 295 49573 11987.68 294
"SEM_73_2" 49581 12136.27 302 49580 12136.27 301
"SEM_73_2" 49584 12171.55 305 49583 12171.55 304
"SEM_73_2" 49587 12201.18 308 49586 12201.18 307
"SEM_73_2" 49589 12208.98 310 49588 12208.98 309
"SEM_73_2" 49593 12274.63 314 49592 12274.63 313
"SEM_73_2" 49601 12340.36 322 49600 12340.36 321
"SEM_73_2" 49611 12475.1 332 49610 12475.1 331
"SEM_73_2" 49618 12590.13 339 49617 12590.13 338
"SEM_73_2" 49620 12611.63 341 49619 12611.63 340
"SEM_73_2" 49623 12667.42 344 49622 12667.42 343
"SEM_73_2" 49628 12767.05 349 49627 12767.05 348
"SEM_73_2" 49631 12781.13 352 49630 12781.13 351
"SEM_73_2" 49634 12808.97 355 49633 12808.97 354
"SEM_73_2" 49642 13022.91 363 49641 13022.91 362
"SEM_73_2" 49645 13073.88 366 49644 13073.88 365
"SEM_73_2" 49648 13087.29 369 49647 13087.29 368
"SEM_73_2" 49650 13093.16 371 49649 13093.16 370
"SEM_73_2" 49653 13195.2 374 49652 13195.2 373
"SEM_73_2" 49657 13323.1 378 49656 13323.1 377
"SEM_73_2" 49666 13531.11 387 49665 13531.11 386
"SEM_73_2" 49676 13759.46 397 49675 13759.46 396
"SEM_73_2" 49693 14346.83 414 49692 14346.83 413
"SEM_73_2" 49697 14378.23 418 49696 14378.23 417
"SEM_73_2" 49699 14387.85 420 49698 14387.85 419
"SEM_73_2" 49713 14740.14 434 49712 14740.14 433
"SEM_73_2" 49729 15141.82 450 49728 15141.82 449
"SEM_73_2" 49732 15150.56 453 49731 15150.56 452
expired_calendar WARNING 33

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.
17 "HI2526-03LVIPfi-Lun-Ven-019"
35 "HI2526-08LVIfi-Lun-Ven-012"
47 "HI2526-15LVIfi-Lun-Ven-010"
50 "HI2526-16DFPfi-Dimanche-010"
52 "HI2526-16LVHPfi-Semaine-012"
54 "HI2526-16LVIPfi-Lun-Ven-011"
56 "HI2526-16SAHPfi-Samedi-011"
91 "HI2526-23DFHP-Dimanche-011"
94 "HI2526-23LVIP-Lun-Ven-011"
96 "HI2526-23SAHP-Samedi-011"
101 "HI2526-25DFfi-Dimanche-010"
103 "HI2526-25LVHfi-Semaine-010"
105 "HI2526-25LVIfi-Lun-Ven-010"
107 "HI2526-25SAHfi-Samedi-010"
119 "HI2526-44LVH-Semaine-010"
121 "HI2526-44LVI-Lun-Ven-010"
125 "HI2526-45LVH-Semaine-010"
126 "HI2526-45LVH-Semaine-010-1101100"
127 "HI2526-45LVH-Semaine-010-0010000"
160 "HI2526-55LVH-Semaine-010"
161 "HI2526-55LVH-Semaine-010-1101100"
162 "HI2526-55LVH-Semaine-010-0010000"
191 "HI2526-62SAH-Samedi-020"
193 "HI2526-62SAH-Dimanche-020"
204 "HI2526-66LVH-Semaine-010"
232 "HI2526-ALVHPfi-Semaine-013"
233 "HI2526-ALVIfi-Semaine-012"
235 "HI2526-ALVIPfi-Semaine-013"
254 "HI2526-ELVIfi-Semaine-012"
256 "HI2526-ELVIPfi-Semaine-013"
258 "HI2526-ANLVHPfi-Semaine-011"
259 "HI2526-ANLVIP16-Semaine-010"
260 "HI2526-ENLVHPfi-Semaine-013"
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 4

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_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
"fare_attributes.txt" 2 "agency_id"
stop_too_far_from_shape WARNING 20

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.
1185 "SEM_15_12" "31292923" 194347 "0020" "Saint-Ismier, Bois Français" [45.22398,5.83817] 103.54634034826366
105 "SEM_15_11" "31292868" 194023 "0020" "Saint-Ismier, Bois Français" [45.223960000000005,5.83814] 104.66119486495091
2657 "SEM_44_2" "30917694" 489462 "1473" "Le Gua, Les Saillants" [45.0231,5.64526] 136.4009231691894
819 "SEM_44_1" "30917813" 490077 "1472" "Le Gua, Les Saillants" [45.0231,5.64526] 176.80613247308935
382 "SEM_44_4" "30917733" 307172 "1473" "Le Gua, Les Saillants" [45.0231,5.64526] 136.4009231691894
670 "SEM_15_6" "31015497" 187273 "0786" "Grenoble, Bir Hakeim" [45.1901614485011,5.735743980700351] 175.35487548676022
670 "SEM_15_6" "31015497" 187274 "4026" "Grenoble, Flandrin - Valmy" [45.18832463571239,5.745108896914103] 153.89263768277445
1541 "SEM_15_8" "31234894" 190038 "0786" "Grenoble, Bir Hakeim" [45.190152961158056,5.73575301335627] 174.19172381427958
1541 "SEM_15_8" "31234894" 190039 "4026" "Grenoble, Flandrin - Valmy" [45.188339666292514,5.745150642125609] 156.46246534556028
1325 "SEM_49_4" "30949031" 309414 "1861" "Seyssins, Ancienne Gare" [45.15977000807028,5.683189999999999] 106.6338638329763
15218 "SEM_16_4" "30720386" 200268 "1310" "Le Pont-de-Claix, Gendarmerie" [45.1416,5.6994] 188.7599265816403
90 "SEM_16_5" "31149103" 207123 "1563" "Grenoble, Flandrin - Valmy" [45.18611633567627,5.7426927407165] 135.28201407153543
90 "SEM_16_5" "31149103" 207124 "0003" "Grenoble, Jules Vallès provisoire" [45.18239813110239,5.747712407477905] 193.1236223785735
1739 "SEM_73_2" "30955161" 502807 "4031" "Vif, Collège le Masségu" [45.051224593238956,5.672992158837508] 146.2720531305192
1356 "SEM_73_1" "31648377" 502865 "4031" "Vif, Collège le Masségu" [45.05121065323996,5.672981305110414] 147.03607638072663
117 "SEM_16_8" "30720293" 197056 "0489" "Grenoble, Madeleine" [45.18658773450234,5.743941044405156] 196.6123366005984
117 "SEM_16_8" "30720293" 197057 "0490" "Grenoble, Jeanne d'Arc" [45.18226160729978,5.747891937493592] 163.22406921023776
470 "SEM_16_6" "31925108" 223151 "0002" "Saint-Martin-d'Hères, Jules Vallès provisoire" [45.18244000000001,5.747840000000002] 193.2127467373348
470 "SEM_16_6" "31925108" 223152 "1564" "Grenoble, Flandrin - Valmy" [45.18616796150024,5.742667775486609] 139.2103062548594
257 "SEM_65_6" "31633027" 499733 "0108" "Brié-et-Angonnes, Souveyron" [45.130619403670984,5.777889736326003] 133.0671334727044
stops_match_shape_out_of_order WARNING 4

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
3318 "SEM_59_1" "31491446" 311657 "2335" "Saint-Martin-d'Uriage, Saint-Nizier-d'Uriage" [45.164191652113836,5.835178836708842] 311656 "2337" "Saint-Martin-d'Uriage, La Ronzière" [45.168887966864915,5.840931592734003]
4686 "SEM_59_1" "31491442" 311543 "2335" "Saint-Martin-d'Uriage, Saint-Nizier-d'Uriage" [45.164191652113836,5.835178836708842] 311542 "2337" "Saint-Martin-d'Uriage, La Ronzière" [45.168887966864915,5.840931592734003]
2581 "SEM_59_2" "31640323" 311864 "0132" "Gières, Edelweiss" [45.18122997606267,5.78822743353053] 311863 "3298" "Gières, Gières Gare - Chamandier" [45.18495112177067,5.785532816939752]
1856 "SEM_64_2" "30423746" 499493 "2278" "Le Pont-de-Claix, L'Etoile Centre des Sciences" [45.1381942369434,5.701591181240228] 499492 "2276" "Le Pont-de-Claix, L'Etoile" [45.1379,5.704090000000001]
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.
"feed_info.txt" "feed_id" 4