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stan-nancy — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-03T18:26:49Z,
for the dataset file:///shared/stan-nancy_2f0391ae.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
STAN - Nancy
Publisher URL:
http://fluo.grandest.fr
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-02-10
Feed End Date:
2026-06-30

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. transfers.txt
  10. trips.txt

Counts

  • Agencies: 1
  • Blocks: 256
  • Routes: 41
  • Shapes: 79
  • Stops: 1463
  • Trips: 51375

Specification Compliance report

43030 notices reported (4 errors, 43026 warnings, 0 infos)

Notice Code Severity Total
block_trips_with_overlapping_stop_times ERROR 4

block_trips_with_overlapping_stop_times

Trips with the same block id have overlapping stop times.

You can see more about this notice here.

csvRowNumberA (?) The row number from `trips.txt` of the first faulty trip. tripIdA (?) The id of first faulty trip. serviceIdA (?) The service id of the first faulty trip. csvRowNumberB (?) The row number from `trips.txt` of the second faulty trip. tripIdB (?) The id of the other faulty trip. serviceIdB (?) The service id of the other faulty trip. blockId (?) The `trips.block_id` of the overlapping trip. intersection (?) The overlapping period.
16754 "STAN-S1-0_53588218" "10217:5-7-16" 44567 "STAN-S1-0_53588196" "10217:5-7-16" "6102" "20260213"
16769 "STAN-S1-6_53588218" "10217:23-7-127" 44573 "STAN-S1-6_53588196" "10217:23-7-127" "6102" "20260306"
44567 "STAN-S1-0_53588196" "10217:5-7-16" 44453 "STAN-S1-0_53588165" "10217:5-7-16" "6102" "20260213"
44573 "STAN-S1-6_53588196" "10217:23-7-127" 44473 "STAN-S1-6_53588165" "10217:23-7-127" "6102" "20260306"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 44

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.

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.
"10217$STAN-55$64" 20296 196.0 2 20295 196.0 1 0.13991045224878504
"10217$STAN-55$64" 20384 3847.0 90 20383 3847.0 89 0.4466767344788995
"10217$STAN-86$46" 8997 142.0 2 8996 142.0 1 0.42991027987310054
"10217$STAN-60$1" 14292 9713.0 222 14291 9713.0 221 0.3849153370033682
"10217$STAN-51$61" 17539 4536.0 169 17538 4536.0 168 0.42417564866344404
"10217$STAN-51$61" 17753 12531.0 383 17752 12531.0 382 0.07000869617272838
"10217$STAN-72$41" 7143 475.0 14 7142 475.0 13 0.42417564795611984
"10217$STAN-76$88" 7963 6958.0 180 7962 6958.0 179 0.4299153852838039
"10217$STAN-54$10" 19296 4779.0 146 19295 4779.0 145 0.42417564795611984
"10217$STAN-18$32" 4628 3861.0 148 4627 3861.0 147 0.4466549436094289
"10217$STAN-83$24" 11935 84.0 2 11934 84.0 1 0.07000480368162522
"10217$STAN-56$62" 19603 196.0 2 19602 196.0 1 0.13991045224878504
"10217$STAN-56$62" 19691 3847.0 90 19690 3847.0 89 0.4466767344788995
"10217$STAN-40$57" 10505 9690.0 271 10504 9690.0 270 0.4466749386234842
"10217$STAN-66$23" 17026 226.0 2 17025 226.0 1 0.2099788028502979
"10217$STAN-61$52" 13897 3089.0 89 13896 3089.0 88 0.1399962852050672
"10217$STAN-46$37" 6715 4944.0 148 6714 4944.0 147 0.13998849931637142
"10217$STAN-26$33" 4883 1873.0 67 4882 1873.0 66 0.42417564866344404
"10217$STAN-47$86" 6412 0.0 1 6411 0.0 0 0.13998849931637142
"10217$STAN-67$76" 16751 1645.0 61 16750 1645.0 60 0.4299222779188127
"10217$STAN-75$89" 7691 1051.0 53 7690 1051.0 52 0.42417564795611984
"10217$STAN-5$49" 11856 3199.0 131 11855 3199.0 130 0.49001451888879877
"10217$STAN-57$63" 20047 4488.0 109 20046 4488.0 108 0.4466767344788995
"10217$STAN-63$66" 14350 2521.0 16 14349 2521.0 15 0.17496963242155109
"10217$STAN-20$21" 1902 9618.0 25 1901 9618.0 24 0.47329500682935094
"10217$STAN-71$95" 12967 1298.0 33 12966 1298.0 32 0.280007377770478
"10217$STAN-71$95" 13058 4134.0 124 13057 4134.0 123 0.42991550688277547
"10217$STAN-71$95" 13223 14451.0 289 13222 14451.0 288 0.44670342069090924
"10217$STAN-52$11" 18375 4779.0 146 18374 4779.0 145 0.42417564795611984
"10217$STAN-16$31" 4300 2703.0 61 4299 2703.0 60 0.4466549436094289
"10217$STAN-89$26" 13736 7942.0 139 13735 7942.0 138 0.4588715572913326
"10217$STAN-70$50" 12374 4103.0 56 12373 4103.0 55 0.24497603106610966
"10217$STAN-70$50" 12404 5109.0 86 12403 5109.0 85 0.42991178600359614
"10217$STAN-70$50" 12429 5805.0 111 12428 5805.0 110 0.4299115975901572
"10217$STAN-70$50" 12463 6868.0 145 12462 6868.0 144 0.2099957165562461
"10217$STAN-70$50" 12476 7147.0 158 12475 7147.0 157 0.07000048150017713
"10217$STAN-70$50" 12485 7576.0 167 12484 7576.0 166 0.14001093322559016
"10217$STAN-70$50" 12517 9680.0 199 12516 9680.0 198 0.4466875091058236
"10217$STAN-65$72" 15723 8846.0 408 15722 8846.0 407 0.4898584937538802
"10217$STAN-12$20" 1396 11070.0 444 1395 11070.0 443 0.45889367012924814
"10217$STAN-3$48" 10781 1021.0 38 10780 1021.0 37 0.1400665128062782
"10217$STAN-3$48" 10967 6492.0 224 10966 6492.0 223 0.2802830289535697
"10217$STAN-91$16" 23505 2736.0 94 23504 2736.0 93 0.42417564795611984
"10217$STAN-91$16" 23537 4479.0 126 23536 4479.0 125 0.21031074264658184
expired_calendar WARNING 16

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 "10217:10-7-4"
3 "10217:11-7-8"
4 "10217:12-7-16"
5 "10217:13-7-1"
6 "10217:14-7-2"
7 "10217:15-7-4"
8 "10217:16-7-8"
9 "10217:17-7-16"
19 "10217:2-7-2"
23 "10217:3-7-4"
24 "10217:4-7-8"
25 "10217:5-7-16"
26 "10217:6-7-32"
27 "10217:7-7-64"
28 "10217:8-7-1"
29 "10217:9-7-2"
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 11

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.
"routes.txt" "route_short_name" "14exp" 5
"routes.txt" "route_short_name" "PLEINE LUNE" 41
"routes.txt" "route_short_name" "FLEXO SOIREE" 42
"routes.txt" "route_long_name" "FLEXO SOIREE" 42
"stops.txt" "stop_name" "69eme RI" 691
"stops.txt" "stop_name" "69eme RI" 692
"stops.txt" "stop_name" "69eme RI" 693
"stops.txt" "stop_name" "18 juin" 1278
"stops.txt" "stop_name" "18 juin" 1279
"stops.txt" "stop_name" "FLEXO SOIREE" 1463
"stops.txt" "stop_name" "FLEXO SOIREE" 1464
route_long_name_contains_short_name WARNING 4

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`.
"41" 19 "CITADINE 1" "Citadine 1 - Citadine Nancy"
"42" 20 "CITADINE 2" "Citadine 2 - Citadine Vandoeuvre"
"7" 40 "Corol" "Corol - Lx Plateau de Haye<>Lx Plateau de haye"
"FLEXO" 42 "FLEXO SOIREE" "FLEXO SOIREE"
stop_too_far_from_shape WARNING 1

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.
16744 "10217$STAN-5$49" "STAN-S1-0_23588217" 555697 "LDEMO0" "Ludres J. Monod" [48.619876861572266,6.169707775115968] 110.56487061930875
stop_too_far_from_shape_using_user_distance WARNING 1811

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.

Only the first 50 of 1811 affected records are displayed below.

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.
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200415 "VLGCV0" "Grande Corvée" [48.71942090000001,6.266053000000001] 10031.660787130622
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200416 "VLUFR0" "UFR Staps" [48.71942090000001,6.266053000000001] 9811.010920237224
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200417 "VLJLR1" "Joseph Laurent" [48.71942090000001,6.266053000000001] 9610.654106749143
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200418 "VLMUL1" "Paul Muller" [48.71942090000001,6.266053000000001] 9626.488664380293
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200419 "VLMAI1" "Villers Mairie" [48.71942090000001,6.266053000000001] 9721.003442693327
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200420 "VLROD0" "Rodin" [48.71942090000001,6.266053000000001] 9824.10625825237
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200421 "LXMAR2" "Maréville" [48.71942090000001,6.266053000000001] 9999.544593931432
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200422 "LXPRO1" "Provinces" [48.71942090000001,6.266053000000001] 9715.676506395497
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200423 "LXERP0" "Europe" [48.71942090000001,6.266053000000001] 9489.724013031717
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200424 "LXHRD0" "Hardeval" [48.71942090000001,6.266053000000001] 9340.666684888796
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200425 "LXVCT0" "Victoire" [48.71942090000001,6.266053000000001] 9211.25427220853
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200426 "LXANN0" "Domaine Sainte-Anne" [48.71942090000001,6.266053000000001] 8936.849949018937
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200427 "NYMED0" "Médreville" [48.71942090000001,6.266053000000001] 8642.19496866502
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200428 "NYSAC0" "Sacré Coeur" [48.71942090000001,6.266053000000001] 8422.802341241251
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200429 "NYCOM0" "Commanderie" [48.71942090000001,6.266053000000001] 8057.571026938465
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200430 "NYKEN1" "Gare - Saint-Léon" [48.71942090000001,6.266053000000001] 7639.821866419816
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200431 "NYJOF0" "Gare - Joffre" [48.71942090000001,6.266053000000001] 7363.462878046406
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200432 "NYSEB0" "Saint-Sébastien" [48.71942090000001,6.266053000000001] 7239.169844231667
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200433 "NYALX1" "Place des Justes" [48.71942090000001,6.266053000000001] 7272.059735620757
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200434 "NYGHE0" "Varsovie" [48.71942090000001,6.266053000000001] 7237.61044042786
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200435 "NYVOS1" "Place des Vosges" [48.71942090000001,6.266053000000001] 6927.449240346792
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200436 "NYJUL1" "Saint-Julien" [48.71942090000001,6.266053000000001] 6622.367324273384
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200437 "NYLOR1" "Loritz" [48.71942090000001,6.266053000000001] 6298.820632566209
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200438 "NYVIC3" "Victor" [48.71942090000001,6.266053000000001] 6017.261608682842
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200439 "NYAUS1" "Austrasie" [48.71942090000001,6.266053000000001] 5773.800660450615
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200440 "TMMRT1" "La Meurthe" [48.71942090000001,6.266053000000001] 5524.203388558607
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200441 "TMVOL0" "Voltaire" [48.71942090000001,6.266053000000001] 5165.728497209004
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200442 "TMFRA0" "Fraternité" [48.71942090000001,6.266053000000001] 4766.241517337739
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200443 "ESMZM7" "Mouzimpré" [48.71942090000001,6.266053000000001] 3550.325292121576
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200444 "ESKLE0" "Quartier Kléber" [48.71942090000001,6.266053000000001] 3173.453498451542
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200445 "ESKLB1" "69eme RI" [48.71942090000001,6.266053000000001] 2999.149727769676
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200446 "ESCLN1" "Colonies" [48.71942090000001,6.266053000000001] 2691.497471195976
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200447 "ESFYR1" "Edith Piaf" [48.71942090000001,6.266053000000001] 2254.3348906456004
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200448 "ESONC0" "Tronc qui fume" [48.71942090000001,6.266053000000001] 2001.0301368508822
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200449 "ESSBL3" "Porte Verte" [48.71942090000001,6.266053000000001] 2162.091342188882
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200450 "PLREN0" "Renaissance" [48.71942090000001,6.266053000000001] 2068.223750586268
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200451 "PLCHG1" "Charles de Gaulle" [48.71942090000001,6.266053000000001] 1874.5396004438758
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200452 "PLBOR1" "Blés d'Or" [48.71942090000001,6.266053000000001] 1673.8660703909766
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200453 "PLCES1" "College Goncourt" [48.71942090000001,6.266053000000001] 1461.294144810207
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200454 "PLSEM1" "Semoir" [48.71942090000001,6.266053000000001] 1139.0407041282356
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200455 "SCROU0" "Jardin Roussel" [48.71942090000001,6.266053000000001] 835.2720850919682
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200456 "SCDNO1" "Donon" [48.71942090000001,6.266053000000001] 565.5302788795698
5779 "10217$STAN-64$19" "STAN-S1-0_23586705" 200457 "SCEGL1" "Seichamps - Eglise" [48.71942090000001,6.266053000000001] 271.7391450109986
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9639 "LDMON0" "College Jacques Monod" [48.663482666015625,6.156123161315918] 4903.528902421812
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9640 "LDMAI0" "Ludres Mairie" [48.663482666015625,6.156123161315918] 4683.042863570868
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9641 "LDECO0" "Ludres Ecoles" [48.663482666015625,6.156123161315918] 4778.864197787185
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9642 "LDSRS0" "Secours" [48.663482666015625,6.156123161315918] 4946.332513251662
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9643 "LDMAR0" "Marie Marvingt" [48.663482666015625,6.156123161315918] 5199.277385972564
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9644 "LDGEN0" "Genobois" [48.663482666015625,6.156123161315918] 5115.114275839262
243 "10217$STAN-58$13" "STAN-S1-0_23587751" 9645 "LDERY2" "Eurydice" [48.663482666015625,6.156123161315918] 5335.805325592055
trip_distance_exceeds_shape_distance_below_threshold WARNING 41138

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 41138 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"STAN-S1-0_23586071" "10217$STAN-60$1" 9833207.0 10655.4 0.0
"STAN-S1-0_23586080" "10217$STAN-60$1" 9833207.0 10655.4 0.0
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