GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-13T10:10:40Z,
for the dataset file:///shared/sitac_35390afa.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
SITAC - Châlons-en-Champagne
Publisher URL:
http://fluo.grandest.fr
Feed Email:
N/A
Feed Language:
French
Feed Start Date:
2026-07-03
Feed End Date:
2026-08-27

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: 180
  • Routes: 32
  • Shapes: 122
  • Stops: 657
  • Trips: 990

Specification Compliance report

5743 notices reported (1 errors, 5742 warnings, 0 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 1

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"300000473" "Vill2" 23824 4762.0 4 23823 4762.0 3
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 420

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 420 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.
"11006$8229$15" 18019 633.0 27 18018 633.0 26 0.06960395279620767
"11006$8229$15" 18099 4377.0 107 18098 4377.0 106 0.31333565324835644
"11006$8229$15" 18124 5660.0 132 18123 5660.0 131 0.069637807580945
"11006$8229$15" 18131 6003.0 139 18130 6003.0 138 0.44645792158874437
"11006$8229$15" 18146 6850.0 154 18145 6850.0 153 0.2089369193047484
"11006$8229$15" 18188 8419.0 196 18187 8419.0 195 0.2089616276059373
"11006$8229$15" 18202 9319.0 210 18201 9319.0 209 0.0696590929061415
"11006$8229$15" 18218 9654.0 226 18217 9654.0 225 0.42985794206962175
"11006$10349$28" 21133 643.0 6 21132 643.0 5 0.20875087305048662
"11006$10349$28" 21146 990.0 19 21145 990.0 18 0.13916447824973896
"11006$10349$28" 21163 1711.0 36 21162 1711.0 35 0.0695878385615312
"11006$10349$28" 21167 2047.0 40 21166 2047.0 39 0.06958874950244189
"11006$10349$28" 21183 3611.0 56 21182 3611.0 55 0.20879356106413527
"11006$10349$28" 21217 6811.0 90 21216 6811.0 89 0.13921255030479096
"11006$10229$90" 19098 3325.0 29 19097 3325.0 28 0.06961372653685854
"11006$10229$90" 19220 9245.0 151 19219 9245.0 150 0.4464423710589986
"11006$27306$58" 10164 1619.0 42 10163 1619.0 41 0.34816470384845694
"11006$27306$58" 10255 4999.0 133 10254 4999.0 132 0.1392459760476586
"11006$27306$58" 10358 24555.0 236 10357 24555.0 235 0.0694186149702435
"11006$27306$58" 10362 25629.0 240 10361 25629.0 239 0.13882587173859673
"11006$27306$58" 10430 34412.0 308 10429 34412.0 307 0.42981314334655935
"11006$5142$77" 12468 1704.0 42 12467 1704.0 41 0.1392970827364766
"11006$5142$77" 12476 2329.0 50 12475 2329.0 49 0.06964811012419239
"11006$5142$77" 12517 4011.0 91 12516 4011.0 90 0.06965680382587085
"11006$5142$77" 12535 4630.0 109 12534 4630.0 108 0.2089616276059373
"11006$5142$77" 12571 6236.0 145 12570 6236.0 144 0.06964182757383516
"11006$5142$77" 12617 8353.0 191 12616 8353.0 190 0.43684493428322035
"11006$5142$77" 12621 8848.0 195 12620 8848.0 194 0.2785183015154154
"11006$5142$77" 12623 9650.0 197 12622 9650.0 196 0.06963263191379243
"11006$5142$77" 12654 11992.0 228 12653 11992.0 227 0.24369193957600763
"11006$5142$77" 12657 12208.0 231 12656 12208.0 230 0.06962788729605357
"11006$5142$77" 12683 13159.0 257 12682 13159.0 256 0.06962805237665488
"11006$6157$8" 16181 545.0 13 16180 545.0 12 0.1393141400018574
"11006$6157$8" 16255 4007.0 87 16254 4007.0 86 0.4728307464646985
"11006$6157$8" 16280 5233.0 112 16279 5233.0 111 0.13925571068987042
"11006$6157$8" 16282 5593.0 114 16281 5593.0 113 0.47281629216595683
"11006$6157$8" 16349 9008.0 181 16348 9008.0 180 0.06962006959122621
"11006$8238$17" 17757 633.0 27 17756 633.0 26 0.06960395279620767
"11006$8233$85" 18413 1369.0 23 18412 1369.0 22 0.06968996861463068
"11006$8233$85" 18494 5261.0 104 18493 5261.0 103 0.44646887090357307
"11006$8233$85" 18513 6089.0 123 18512 6089.0 122 0.2089616276059373
"11006$8233$85" 18561 7645.0 171 18560 7645.0 170 0.3830502573510882
"11006$8233$85" 18573 8167.0 183 18572 8167.0 182 0.472840048017736
"11006$8233$85" 18576 8592.0 186 18575 8592.0 185 0.47283623743206316
"11006$8233$85" 18591 9517.0 201 18590 9517.0 200 0.3481655292060619
"11006$8233$85" 18605 9995.0 215 18604 9995.0 214 0.472821289050204
"11006$32074$64" 11715 2782.0 47 11714 2782.0 46 0.13984528117065753
"11006$32074$64" 11764 6715.0 96 11763 6715.0 95 0.10485258679425162
"11006$32074$64" 11802 9034.0 134 11801 9034.0 133 0.06988382523749952
"11006$10376$93" 21899 1248.0 21 21898 1248.0 20 0.06961756650702897
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 "11006:1-41-24"
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 9

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" "106eme RI" 52
"stops.txt" "stop_name" "106eme RI" 53
"stops.txt" "stop_name" "106eme RI" 54
"stops.txt" "stop_name" "40eme R.A" 55
"stops.txt" "stop_name" "40eme R.A" 56
"stops.txt" "stop_name" "40eme R.A" 57
"stops.txt" "stop_name" "EDF - GDF" 150
"stops.txt" "stop_name" "EDF - GDF" 151
"stops.txt" "stop_name" "EDF - GDF" 152
non_ascii_or_non_printable_char WARNING 4007

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 4007 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"stops.txt" 11 "stop_id" "Cathé"
"stops.txt" 65 "stop_id" "Châlo"
"stops.txt" 72 "stop_id" "Allié"
"stops.txt" 126 "stop_id" "Cité"
"stops.txt" 127 "stop_id" "Cité1"
"stops.txt" 155 "stop_id" "Entré"
"stops.txt" 169 "stop_id" "Géra1"
"stops.txt" 170 "stop_id" "Gérar"
"stops.txt" 202 "stop_id" "Libé1"
"stops.txt" 203 "stop_id" "Libér"
"stops.txt" 208 "stop_id" "Lycé1"
"stops.txt" 209 "stop_id" "Lycée"
"stops.txt" 211 "stop_id" "Lycé2"
"stops.txt" 213 "stop_id" "Lycé3"
"stops.txt" 214 "stop_id" "Lycé4"
"stops.txt" 216 "stop_id" "Lycé5"
"stops.txt" 217 "stop_id" "Lycé6"
"stops.txt" 231 "stop_id" "Ména1"
"stops.txt" 232 "stop_id" "Ménar"
"stops.txt" 253 "stop_id" "Orlé1"
"stops.txt" 254 "stop_id" "Orléa"
"stops.txt" 284 "stop_id" "Préf1"
"stops.txt" 285 "stop_id" "Préfe"
"stops.txt" 287 "stop_id" "Prés1"
"stops.txt" 288 "stop_id" "Prési"
"stops.txt" 299 "stop_id" "Rési1"
"stops.txt" 300 "stop_id" "Rési2"
"stops.txt" 301 "stop_id" "Résid"
"stops.txt" 309 "stop_id" "Sécu1"
"stops.txt" 310 "stop_id" "Sécur"
"stops.txt" 312 "stop_id" "St-É1"
"stops.txt" 313 "stop_id" "St-Él"
"stops.txt" 324 "stop_id" "Vallé"
"stops.txt" 367 "stop_id" "Condé"
"stops.txt" 401 "stop_id" "Île 1"
"stops.txt" 402 "stop_id" "Île d"
"stops.txt" 436 "stop_id" "Jâlo1"
"stops.txt" 437 "stop_id" "Jâlon"
"stops.txt" 439 "stop_id" "Jâlo2"
"stops.txt" 440 "stop_id" "Jâlo3"
"stops.txt" 442 "stop_id" "Jâlo4"
"stops.txt" 476 "stop_id" "La Fé"
"stops.txt" 478 "stop_id" "Monté"
"stops.txt" 487 "stop_id" "Léon"
"stops.txt" 496 "stop_id" "Châte"
"stops.txt" 500 "stop_id" "Épine"
"stops.txt" 532 "stop_id" "L’Il1"
"stops.txt" 533 "stop_id" "L’Ile"
"stops.txt" 595 "stop_id" "Soudé"
"stops.txt" 641 "stop_id" "L'épi"
route_long_name_contains_short_name WARNING 32

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`.
"01" 2 "01" "01"
"02" 3 "02" "02"
"03" 4 "03" "03"
"04" 5 "04" "04"
"05" 6 "05" "05"
"06" 7 "06" "06"
"07" 8 "07" "07"
"120" 9 "120" "120"
"SP" 10 "SP" "SP"
"01N" 11 "01N" "01N"
"02N" 12 "02N" "02N"
"FLX7" 13 "FLX7" "FLX7"
"BACO" 14 "BACO" "BACO"
"COND" 15 "COND" "COND"
"DAMP" 16 "DAMP" "DAMP"
"F_B1" 17 "F_B1" "F_B1"
"F_CI" 18 "F_CI" "F_CI"
"F_RA" 19 "F_RA" "F_RA"
"JALO" 20 "JALO" "JALO"
"LA" 21 "LA" "LA"
"LB" 22 "LB" "LB"
"LC" 23 "LC" "LC"
"LD" 24 "LD" "LD"
"LE" 25 "LE" "LE"
"LF" 26 "LF" "LF"
"LG" 27 "LG" "LG"
"LVEU" 28 "LVEU" "LVEU"
"MATO" 29 "MATO" "MATO"
"SARR" 30 "SARR" "SARR"
"SOMM" 31 "SOMM" "SOMM"
"SOUD" 32 "SOUD" "SOUD"
"VRAU" 33 "VRAU" "VRAU"
stop_too_far_from_shape_using_user_distance WARNING 1272

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 1272 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.
254 "11006$8229$15" "300000102" 6011 "Parki" "Parking Hopital" [48.97313119440769,4.368838282478175] 163.9551540398254
254 "11006$8229$15" "300000102" 6012 "Hopit" "Hopital P. Briquet" [48.97150776309911,4.3685381480943875] 243.30730999420825
254 "11006$8229$15" "300000102" 6013 "Plac1" "Place de Verdun" [48.966898895988116,4.367676345991598] 486.9266350892313
254 "11006$8229$15" "300000102" 6014 "L. B2" "L. Bourgeois" [48.96434821152641,4.36682530138226] 465.9640255842072
254 "11006$8229$15" "300000102" 6015 "(4) T" "(4) Tissier - Grande Etape" [48.96077468180066,4.365866834325679] 350.5674466983087
254 "11006$8229$15" "300000102" 6016 "Cité" "Cité Administrative" [48.95740381878396,4.3646041551840025] 528.5536038196477
254 "11006$8229$15" "300000102" 6017 "Sécur" "Sécurité Sociale" [48.957733383336276,4.366926937463011] 606.8172110080276
254 "11006$8229$15" "300000102" 6018 "Résid" "Résidence Bichat" [48.955873129345754,4.372379207577125] 468.7558036724919
254 "11006$8229$15" "300000102" 6019 "Pont" "Pont Alips" [48.95534265053744,4.375830218351151] 639.5598822642665
254 "11006$8229$15" "300000102" 6020 "T. De" "T. De Banville" [48.95361823325472,4.375413121558493] 660.6480442701144
254 "11006$8229$15" "300000102" 6021 "Marec" "Marechal Juin" [48.94967348983706,4.376840859034665] 595.7338493547486
254 "11006$8229$15" "300000102" 6022 "Jean" "Jean Moulin" [48.9461177283994,4.380118350256407] 636.2136957611127
254 "11006$8229$15" "300000102" 6023 "Croix" "Croix Dampierre" [48.94716946141458,4.388122557756306] 726.0347197365737
254 "11006$8229$15" "300000102" 6024 "W. Ch" "W. Churchill" [48.946257821026435,4.38918034213929] 819.5124455682837
254 "11006$8229$15" "300000102" 6025 "Campi" "Camping" [48.94302482609216,4.390586646161656] 796.7581861907167
254 "11006$8229$15" "300000102" 6026 "E. M1" "E. Manet" [48.940879685640795,4.387645925623805] 735.0906296634613
254 "11006$8229$15" "300000102" 6027 "S. M1" "S. Mallarmé" [48.939695146731914,4.384976174353042] 654.5398107173844
254 "11006$8229$15" "300000102" 6028 "J. Br" "J. Brel" [48.93280027609588,4.390417239899706] 1363.3032279881015
254 "11006$8229$15" "300000102" 6029 "Les J" "Les Jardins" [48.92963603510936,4.3931243883244955] 1355.7016071571857
254 "11006$8229$15" "300000102" 6030 "Plac3" "Place du Commerce" [48.927601567067065,4.395224447804803] 1349.7847041899377
254 "11006$8229$15" "300000102" 6031 "Jardi" "Jardin des Vignes" [48.92229597929535,4.401566472019551] 1237.933755953585
254 "11006$8229$15" "300000102" 6032 "La Ro" "La Rouillie" [48.91572575827162,4.412243724361333] 1663.7192965634872
254 "11006$8229$15" "300000102" 6033 "Montc" "Montcez-Longevas" [48.91414890320755,4.414933714225674] 1136.6002330681883
340 "11006$10349$28" "300000538" 7802 "E. Ro" "E. Rochet" [48.99211056634007,4.3119480384753945] 134.2446678608566
340 "11006$10349$28" "300000538" 7803 "Grand" "Grande Rue" [48.9915726071366,4.309398651088163] 153.04676596521227
340 "11006$10349$28" "300000538" 7804 "Recy" "Recy Mairie" [48.98882622197433,4.312071767504495] 169.60807208686762
340 "11006$10349$28" "300000538" 7805 "Terme" "Terme Adam" [48.987712282789246,4.31489949020803] 206.34689962363558
340 "11006$10349$28" "300000538" 7806 "Baud1" "Baudry" [48.982157227020934,4.33131911982527] 244.66722840215118
340 "11006$10349$28" "300000538" 7807 "Abba1" "Abbaye" [48.98066539034184,4.334299495039263] 289.20296780128683
340 "11006$10349$28" "300000538" 7808 "Rout6" "Route de Louvois" [48.978984609310636,4.337748922473431] 329.6487678238394
340 "11006$10349$28" "300000538" 7809 "Gare3" "Gare CBR" [48.977708745173096,4.34034158742306] 341.3249613941969
340 "11006$10349$28" "300000538" 7810 "Espa1" "Espace Aron" [48.97537244643068,4.344719257862491] 438.69610159337645
340 "11006$10349$28" "300000538" 7811 "Bert1" "Bertot" [48.97380328379934,4.346571959567393] 397.54855567642164
340 "11006$10349$28" "300000538" 7812 "Ampe1" "Ampere" [48.97123606055466,4.350265321961203] 596.7770696277544
340 "11006$10349$28" "300000538" 7813 "Lycé2" "Lycée Oehmichen" [48.97219553363535,4.35192149761927] 745.7848441892163
860 "11006$10229$90" "300000208" 20918 "Gran2" "Grands Champs" [48.979327208649686,4.347339584932433] 118.90515599225799
860 "11006$10229$90" "300000208" 20919 "L’Il1" "L’Ilet" [48.979316717089986,4.350564978833755] 173.95317735769584
860 "11006$10229$90" "300000208" 20920 "GRETA" "GRETA" [48.976445374702955,4.3567844144921954] 340.0682538572968
860 "11006$10229$90" "300000208" 20921 "106e1" "106eme RI" [48.97502977625762,4.357954245016267] 291.0302554469271
860 "11006$10229$90" "300000208" 20922 "R. P1" "R. Poincaré" [48.97235566652306,4.358801042359529] 524.4456490757095
860 "11006$10229$90" "300000208" 20923 "Châlo" "Châlons-en-Champagne Agglo" [48.97167814677151,4.357480267401494] 646.6456432274258
860 "11006$10229$90" "300000208" 20924 "Cent2" "Centre Patton" [48.96952381032389,4.353280980647772] 782.4490591832775
860 "11006$10229$90" "300000208" 20925 "Isle" "Isle aux Bois" [48.968446200100445,4.35115522969844] 820.9399066365838
860 "11006$10229$90" "300000208" 20926 "Chau1" "Chaussée du Port" [48.96669932424622,4.347685082494418] 713.1673583461443
860 "11006$10229$90" "300000208" 20927 "IUT 1" "IUT" [48.96438002199165,4.347447828688067] 827.1425691845984
860 "11006$10229$90" "300000208" 20928 "Park3" "Parking IUT" [48.963183240224595,4.348865683619334] 677.9585152018764
860 "11006$10229$90" "300000208" 20929 "Cathé" "Cathédrale" [48.9620745659655,4.353312337517353] 781.7726407148646
860 "11006$10229$90" "300000208" 20930 "Marne" "Marne" [48.96255338794364,4.355604604822364] 690.078178517616
860 "11006$10229$90" "300000208" 20931 "(7) T" "(7) Tissier - Léon Bourgeois" [48.95885767452287,4.355449098375744] 668.2894604542898
860 "11006$10229$90" "300000208" 20932 "L. Bo" "L. Bourgeois" [48.95797525483652,4.354503057669794] 821.538480622224