alterneo — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-23T20:07:53Z,
for the dataset file:///shared/alterneo_c0ed8b85.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. transfers.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 94
  • Routes: 68
  • Shapes: 236
  • Stops: 3636
  • Trips: 10483

Specification Compliance report

411 notices reported (0 errors, 410 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 1

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.
"L1008P1" 71050 2617.0 56 71049 2617.0 55 0.4677297213069628
fast_travel_between_consecutive_stops WARNING 32

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.
4623 "2_11050721" "2300" 489.5290202584232 0.13598028340511756 166408 29 "0:12250P" "La Rivière" "18:28:00" 166409 30 "0:11010C" "Mairie De La Rivière" "18:28:01"
4955 "2_31050721" "2300" 489.5290202584232 0.13598028340511756 177989 29 "0:12250P" "La Rivière" "18:28:00" 177990 30 "0:11010C" "Mairie De La Rivière" "18:28:01"
4367 "2_41050721" "2300" 489.5290202584232 0.13598028340511756 157266 29 "0:12250P" "La Rivière" "18:28:00" 157267 30 "0:11010C" "Mairie De La Rivière" "18:28:01"
5099 "2_21050721" "2300" 489.5290202584232 0.13598028340511756 182702 29 "0:12250P" "La Rivière" "18:28:00" 182703 30 "0:11010C" "Mairie De La Rivière" "18:28:01"
4281 "2_51050721" "2300" 489.5290202584232 0.13598028340511756 154479 29 "0:12250P" "La Rivière" "18:28:00" 154480 30 "0:11010C" "Mairie De La Rivière" "18:28:01"
5477 "1_71051358" "2220" 1382.6482066813858 0.38406894630038496 197978 26 "0:11250C" "Rue Karl Marx" "16:48:00" 197979 27 "0:11260C" "Les Cocos" "16:48:01"
10189 "0_61052381" "5520" 160.23240408428293 0.04450900113452304 357051 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 357052 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
10381 "0_51052381" "5520" 160.23240408428293 0.04450900113452304 363818 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 363819 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
10030 "0_31052381" "5520" 160.23240408428293 0.04450900113452304 351386 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 351387 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
8413 "0_21052381" "5520" 160.23240408428293 0.04450900113452304 297573 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 297574 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
9857 "0_41052381" "5520" 160.23240408428293 0.04450900113452304 345167 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 345168 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
8538 "0_11052381" "5520" 160.23240408428293 0.04450900113452304 302024 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 302025 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
386 "2_11061505" "5520" 160.23240408428293 0.04450900113452304 15774 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 15775 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
31 "2_31061505" "5520" 160.23240408428293 0.04450900113452304 1036 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 1037 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
194 "2_51061505" "5520" 160.23240408428293 0.04450900113452304 7968 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 7969 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
284 "2_41061505" "5520" 160.23240408428293 0.04450900113452304 11469 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 11470 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
114 "2_21061505" "5520" 160.23240408428293 0.04450900113452304 4351 6 "0:PE0155P" "Rue Emmaüs Ethève" "16:33:59" 4352 7 "0:PE02101P" "Rue Camomilles Les Bas" "16:34:00"
373 "2_11061510" "5520" 160.23240408428293 0.04450900113452304 15248 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 15249 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
2 "2_31061510" "5520" 160.23240408428293 0.04450900113452304 7 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 8 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
169 "2_51061510" "5520" 160.23240408428293 0.04450900113452304 6827 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 6828 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
257 "2_41061510" "5520" 160.23240408428293 0.04450900113452304 10376 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 10377 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
88 "2_21061510" "5520" 160.23240408428293 0.04450900113452304 3337 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 3338 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
5328 "1_71051361" "2220" 785.3472901204564 0.2181520250334601 191660 31 "0:11290C" "Rue Léonus Bénard" "10:53:00" 191661 32 "0:11300C" "Rue Lambert" "10:53:01"
9650 "0_61052384" "5520" 160.23240408428293 0.04450900113452304 337835 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 337836 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
10193 "0_51052384" "5520" 160.23240408428293 0.04450900113452304 357195 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 357196 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
9814 "0_31052384" "5520" 160.23240408428293 0.04450900113452304 343683 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 343684 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
10011 "0_21052384" "5520" 160.23240408428293 0.04450900113452304 350719 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 350720 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
10362 "0_41052384" "5520" 160.23240408428293 0.04450900113452304 363175 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 363176 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
8418 "0_11052384" "5520" 160.23240408428293 0.04450900113452304 297763 6 "0:PE0155P" "Rue Emmaüs Ethève" "10:33:59" 297764 7 "0:PE02101P" "Rue Camomilles Les Bas" "10:34:00"
6387 "1_71051239" "2320" 785.3472901204564 0.2181520250334601 233538 27 "0:11290C" "Rue Léonus Bénard" "12:31:00" 233539 28 "0:11300C" "Rue Lambert" "12:31:01"
5507 "1_71051347" "2210" 785.3472901204564 0.2181520250334601 199249 31 "0:11290C" "Rue Léonus Bénard" "12:22:00" 199250 32 "0:11300C" "Rue Lambert" "12:22:01"
5543 "1_71051349" "2210" 1382.6482066813858 0.38406894630038496 200718 26 "0:11250C" "Rue Karl Marx" "18:17:00" 200719 27 "0:11260C" "Les Cocos" "18:17:01"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 10

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" "59 CD 29" 68
"stops.txt" "stop_name" "55 CD 29" 1023
"stops.txt" "stop_name" "2e RPIMA" 1731
"stops.txt" "stop_name" "55 CD 29" 2798
"stops.txt" "stop_name" "59 CD 29" 2973
"stops.txt" "stop_name" "2e RPIMA" 3266
"routes.txt" "route_long_name" "GRAND RAID" 42
"routes.txt" "route_long_name" "S'portez vous bien" 49
"routes.txt" "route_short_name" "2EX" 55
"routes.txt" "route_long_name" "2EX" 55
non_ascii_or_non_printable_char WARNING 214

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 214 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" 31 "parent_station" "1:17 avé"
"stops.txt" 32 "parent_station" "1:ZI N°"
"stops.txt" 36 "parent_station" "1:CJésus"
"stops.txt" 44 "parent_station" "1:Résuge"
"stops.txt" 98 "parent_station" "1:Stréli"
"stops.txt" 99 "parent_station" "1:41 ère"
"stops.txt" 122 "parent_station" "1:Pisère"
"stops.txt" 128 "parent_station" "1:84 éas"
"stops.txt" 138 "parent_station" "1:ZAC° 2"
"stops.txt" 144 "parent_station" "1:Pépnse"
"stops.txt" 151 "parent_station" "1:Pépnse"
"stops.txt" 152 "parent_station" "1:Créeur"
"stops.txt" 174 "parent_station" "1:Colçon"
"stops.txt" 175 "parent_station" "1:Stréli"
"stops.txt" 181 "parent_station" "1:Résuge"
"stops.txt" 183 "parent_station" "1:Rueéas"
"stops.txt" 184 "parent_station" "1:Azalée"
"stops.txt" 188 "parent_station" "1:Rueèse"
"stops.txt" 193 "parent_station" "1:Châtea"
"stops.txt" 230 "parent_station" "1:citéas"
"stops.txt" 239 "parent_station" "1:ZAC° 1"
"stops.txt" 244 "parent_station" "1:Senées"
"stops.txt" 248 "parent_station" "1:Crèche"
"stops.txt" 250 "parent_station" "1:Caféi"
"stops.txt" 251 "parent_station" "1:Dépôt"
"stops.txt" 258 "parent_station" "1:Lesoës"
"stops.txt" 262 "parent_station" "1:Cité H"
"stops.txt" 264 "parent_station" "1:Tévela"
"stops.txt" 267 "parent_station" "1:Zézé"
"stops.txt" 272 "parent_station" "1:Résron"
"stops.txt" 283 "parent_station" "1:Colçon"
"stops.txt" 316 "parent_station" "1:Aloés"
"stops.txt" 322 "parent_station" "1:Résche"
"stops.txt" 344 "parent_station" "1:Cheère"
"stops.txt" 347 "parent_station" "1:LBénar"
"stops.txt" 350 "parent_station" "1:Résche"
"stops.txt" 371 "parent_station" "1:ImpTrè"
"stops.txt" 372 "parent_station" "1:Créeur"
"stops.txt" 395 "parent_station" "1:AvOcéa"
"stops.txt" 396 "parent_station" "1:Supère"
"stops.txt" 399 "parent_station" "1:Supère"
"stops.txt" 410 "parent_station" "1:Genalé"
"stops.txt" 417 "parent_station" "1:CheThé"
"stops.txt" 421 "parent_station" "1:41 ère"
"stops.txt" 442 "parent_station" "1:Vétyve"
"stops.txt" 443 "parent_station" "1:cpavé"
"stops.txt" 461 "parent_station" "1:8 Cées"
"stops.txt" 468 "parent_station" "1:8 Cées"
"stops.txt" 473 "parent_station" "1:cpavé"
"stops.txt" 500 "parent_station" "1:Tévela"
route_long_name_contains_short_name WARNING 52

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.

Only the first 50 of 52 affected records are displayed below.

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`.
"1060" 3 "6" "6"
"2270" 4 "27" "27"
"5510" 5 "51" "51"
"1110" 6 "11" "11"
"2320" 7 "32" "32"
"1030" 8 "3" "3"
"2240" 9 "24" "24"
"1150" 10 "15" "15"
"1070" 11 "7" "7"
"2280" 12 "28" "28"
"1100" 13 "10" "10"
"2310" 14 "31" "31"
"1080" 15 "8" "8"
"2290" 16 "29" "29"
"4430" 17 "43" "43"
"5520" 18 "52" "52"
"6610" 19 "61" "61"
"2210" 20 "21" "21"
"1120" 21 "12" "12"
"2330" 22 "33" "33"
"2010" 23 "KSL" "KSL"
"1040" 24 "4" "4"
"6600" 26 "60" "60"
"1090" 27 "9" "9"
"8880" 28 "88" "88"
"4440" 29 "44" "44"
"5530" 30 "53" "53"
"6620" 31 "62" "62"
"1010" 32 "1" "1"
"1131" 33 "13A" "13A"
"2220" 34 "22" "22"
"1130" 35 "13" "13"
"1050" 36 "5" "5"
"2260" 37 "26" "26"
"1170" 38 "KV2" "KV2"
"5580" 50 "58" "58"
"8850" 51 "85" "85"
"4450" 52 "45" "45"
"6630" 53 "63" "63"
"4410" 54 "41" "41"
"1021" 55 "2EX" "2EX"
"1020" 56 "2" "2"
"2230" 57 "23" "23"
"1140" 58 "14" "14"
"8890" 61 "89" "89"
"2300" 63 "30" "30"
"8860" 64 "86" "86"
"5550" 65 "55" "55"
"4420" 66 "42" "42"
"8870" 67 "87" "87"
stop_without_stop_time WARNING 24

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
4 "0:DTMOCI" "Dépôt TMO Cilaos"
37 "0:11355P" "Rue François De Mahy"
103 "0:02004P" "Université Du Tampon"
131 "0:DEPILE" "Dépot Petite Ile"
221 "0:DEPSL" "Dépot Saint Louis"
416 "0:07210P" "Centre Pénitencier"
600 "0:DESS" "Dépot Etang Salé"
615 "0:AV0001C" "Dépot Avirons"
746 "0:PE04037C" "Chemin Mussard"
873 "0:05281C" "Cité Scolaire"
964 "0:DEPCE" "Dépot Charles Express"
1300 "0:04040C" "Menuiserie"
1400 "0:11075C" "Rue Jean Jacques Rousseau"
1451 "0:01335P" "Front De Mer"
1467 "0:CILAOS" "Dépot Cilaos"
1649 "0:04030C" "Assises"
1719 "0:19215C" "Mairie de Saint Pierre"
1720 "0:19220C" "Départ de Grand Raid"
1731 "0:09320C" "2e RPIMA"
1732 "0:09325C" "Parking relais"
1864 "0:CI0215P" "7Chemin Ilet A Calebasse"
1974 "0:11075P" "Rue Jean Jacques Rousseau"
2197 "0:DEPBAL" "Dépot Balaya ZI N°3"
2265 "0:DEPANI" "Dépot Ah Niave"
unused_shape WARNING 76

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

Only the first 50 of 76 affected records are displayed below.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"L1150P17" 47261
"L1150P18" 47834
"L2230P32" 53246
"L8850P8" 53988
"L8850P9" 54751
"L2230P26" 55709
"L1050P11" 56098
"L1170P11" 56833
"L2240P25" 57196
"L2240P24" 57866
"L2300P13" 58481
"L1020P34" 58840
"L1020P37" 59321
"L1020P36" 59806
"L4420P8" 60206
"L4420P7" 60665
"L1130P15" 61130
"L1130P17" 61437
"L1140P16" 61776
"L1150P9" 62054
"L1150P6" 62308
"L1150P7" 63034
"L1040P9" 63600
"L1131P20" 63999
"L1131P23" 64296
"L1131P22" 64988
"L1181P9" 65671
"L5520P15" 66540
"L5520P14" 67060
"L1160P11" 67567
"L1110P23" 67682
"L1110P18" 68194
"L1110P10" 69062
"L1160P10" 69797
"L8850P10" 70031
"L1008P1" 70994
"L1021P10" 71073
"L1021P12" 71554
"L6600P7" 71943
"L6600P8" 73863
"L5550P3" 75808
"L5550P5" 76439
"L1110P24" 76959
"L1110P25" 77808
"L1110P28" 78569
"L1120P6" 79053
"L1120P7" 79838
"L1120P5" 80475
"L1021P11" 81223
"L2300P14" 81722
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.
"stops.txt" "vehicle_type" 10