GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T16:34:50Z,
for the dataset file:///shared/trace.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: 76
  • Routes: 8
  • Shapes: 58
  • Stops: 496
  • Trips: 1415

Specification Compliance report

2776 notices reported (0 errors, 2776 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 11

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.
"9582$688$30" 3496 6305.0 110 3495 6305.0 109 0.6727697740306345
"9582$651$56" 13294 12391.0 327 13293 12391.0 326 0.8148874870245143
"9582$659$31" 3879 6305.0 110 3878 6305.0 109 0.6727697740306345
"9582$658$35" 5734 4827.0 91 5733 4827.0 90 0.6727687264511751
"9582$673$32" 4219 6305.0 110 4218 6305.0 109 0.6727697740306345
"9582$711$34" 6060 4827.0 91 6059 4827.0 90 0.6727687264511751
"9582$660$38" 5364 4827.0 91 5363 4827.0 90 0.6727687264511751
"9582$700$25" 7302 6035.0 173 7301 6035.0 172 0.6732352861877126
"9582$647$20" 12373 1951.0 27 12372 1951.0 26 0.6727697740306345
"9582$650$24" 12569 1382.0 22 12568 1382.0 21 0.7438663142756462
"9582$671$36" 4414 4827.0 91 4413 4827.0 90 0.6727687264511751
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.
5 "9582:4-27-32"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"stops.txt" 311 "stop_name" "ZI Nord "
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 914

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.

Only the first 50 of 914 affected records are displayed below.

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" "ST JOSEPH GARE" 3
"stops.txt" "stop_name" "ST JOSEPH GARE" 4
"stops.txt" "stop_name" "INGERSHEIM CTRE" 6
"stops.txt" "stop_name" "INGERSHEIM CTRE" 7
"stops.txt" "stop_name" "PL GAL DE GAULLE" 14
"stops.txt" "stop_name" "PL GAL DE GAULLE" 15
"stops.txt" "stop_name" "PL GAL DE GAULLE" 16
"stops.txt" "stop_name" "SCHEURER KESTNER" 26
"stops.txt" "stop_name" "SCHEURER KESTNER" 27
"stops.txt" "stop_name" "SCHEURER KESTNER" 28
"stops.txt" "stop_name" "BLAISE PASCAL" 29
"stops.txt" "stop_name" "BLAISE PASCAL" 30
"stops.txt" "stop_name" "BLAISE PASCAL" 31
"stops.txt" "stop_name" "CAMILLE SEE" 39
"stops.txt" "stop_name" "CAMILLE SEE" 40
"stops.txt" "stop_name" "GARE OUEST" 45
"stops.txt" "stop_name" "GARE OUEST" 46
"stops.txt" "stop_name" "LEGION ETRANGERE" 51
"stops.txt" "stop_name" "LEGION ETRANGERE" 52
"stops.txt" "stop_name" "ANDOLSHEIM CTRE" 61
"stops.txt" "stop_name" "ANDOLSHEIM CTRE" 62
"stops.txt" "stop_name" "ANDOLSHEIM CTRE" 63
"stops.txt" "stop_name" "1ERE ARMEE FRANCAISE" 67
"stops.txt" "stop_name" "1ERE ARMEE FRANCAISE" 68
"stops.txt" "stop_name" "1ERE ARMEE FRANCAISE" 69
"stops.txt" "stop_name" "HOUSSEN CTRE" 88
"stops.txt" "stop_name" "HOUSSEN CTRE" 89
"stops.txt" "stop_name" "HOUSSEN CTRE" 90
"stops.txt" "stop_name" "HOPITAL PASTEUR" 91
"stops.txt" "stop_name" "HOPITAL PASTEUR" 92
"stops.txt" "stop_name" "HOPITAL PASTEUR" 93
"stops.txt" "stop_name" "SUNDHOFFEN CTRE" 95
"stops.txt" "stop_name" "SUNDHOFFEN CTRE" 96
"stops.txt" "stop_name" "CITE TURENNE" 97
"stops.txt" "stop_name" "CITE TURENNE" 98
"stops.txt" "stop_name" "CITE TURENNE" 99
"stops.txt" "stop_name" "BISCHWIHR CTRE" 101
"stops.txt" "stop_name" "BISCHWIHR CTRE" 102
"stops.txt" "stop_name" "ZAC DU MARIAFELD" 103
"stops.txt" "stop_name" "ZAC DU MARIAFELD" 104
"stops.txt" "stop_name" "ERCK. CHATRIAN" 108
"stops.txt" "stop_name" "ERCK. CHATRIAN" 109
"stops.txt" "stop_name" "ERCK. CHATRIAN" 110
"stops.txt" "stop_name" "CHAMP DE MARS" 114
"stops.txt" "stop_name" "CHAMP DE MARS" 115
"stops.txt" "stop_name" "CHAMP DE MARS" 116
"stops.txt" "stop_name" "CHAMP DE MARS" 117
"stops.txt" "stop_name" "ALLEE DES PEUPLIERS" 118
"stops.txt" "stop_name" "ALLEE DES PEUPLIERS" 119
"stops.txt" "stop_name" "ALLEE DES PEUPLIERS" 120
non_ascii_or_non_printable_char WARNING 1136

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 1136 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" 366 "stop_id" "Thé01"
"stops.txt" 367 "stop_id" "Thé03"
"stop_times.txt" 5 "stop_id" "Thé03"
"stop_times.txt" 20 "stop_id" "Thé03"
"stop_times.txt" 48 "stop_id" "Thé03"
"stop_times.txt" 75 "stop_id" "Thé03"
"stop_times.txt" 99 "stop_id" "Thé03"
"stop_times.txt" 126 "stop_id" "Thé03"
"stop_times.txt" 150 "stop_id" "Thé03"
"stop_times.txt" 186 "stop_id" "Thé03"
"stop_times.txt" 219 "stop_id" "Thé03"
"stop_times.txt" 246 "stop_id" "Thé03"
"stop_times.txt" 270 "stop_id" "Thé03"
"stop_times.txt" 294 "stop_id" "Thé03"
"stop_times.txt" 323 "stop_id" "Thé03"
"stop_times.txt" 350 "stop_id" "Thé03"
"stop_times.txt" 377 "stop_id" "Thé03"
"stop_times.txt" 401 "stop_id" "Thé03"
"stop_times.txt" 434 "stop_id" "Thé03"
"stop_times.txt" 470 "stop_id" "Thé03"
"stop_times.txt" 497 "stop_id" "Thé03"
"stop_times.txt" 524 "stop_id" "Thé03"
"stop_times.txt" 548 "stop_id" "Thé03"
"stop_times.txt" 581 "stop_id" "Thé03"
"stop_times.txt" 610 "stop_id" "Thé03"
"stop_times.txt" 637 "stop_id" "Thé03"
"stop_times.txt" 661 "stop_id" "Thé03"
"stop_times.txt" 685 "stop_id" "Thé03"
"stop_times.txt" 712 "stop_id" "Thé03"
"stop_times.txt" 736 "stop_id" "Thé03"
"stop_times.txt" 760 "stop_id" "Thé03"
"stop_times.txt" 787 "stop_id" "Thé03"
"stop_times.txt" 814 "stop_id" "Thé03"
"stop_times.txt" 838 "stop_id" "Thé03"
"stop_times.txt" 864 "stop_id" "Thé03"
"stop_times.txt" 888 "stop_id" "Thé03"
"stop_times.txt" 915 "stop_id" "Thé03"
"stop_times.txt" 939 "stop_id" "Thé03"
"stop_times.txt" 972 "stop_id" "Thé03"
"stop_times.txt" 1005 "stop_id" "Thé03"
"stop_times.txt" 1038 "stop_id" "Thé03"
"stop_times.txt" 1065 "stop_id" "Thé03"
"stop_times.txt" 1092 "stop_id" "Thé03"
"stop_times.txt" 1116 "stop_id" "Thé03"
"stop_times.txt" 1151 "stop_id" "Thé03"
"stop_times.txt" 1178 "stop_id" "Thé03"
"stop_times.txt" 1205 "stop_id" "Thé03"
"stop_times.txt" 1229 "stop_id" "Thé03"
"stop_times.txt" 1248 "stop_id" "Thé03"
"stop_times.txt" 1284 "stop_id" "Thé03"
stop_too_far_from_shape WARNING 23

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.
538 "9582$663$8" "138259" 12156 "HCC02" "HOUSSEN CTRE CIAL" [48.12493896484379,7.370610237121581] 304.425931656108
542 "9582$661$9" "138269" 12277 "BaN01" "BASE NAUTIQUE" [48.1101417541504,7.37979984283447] 328.52037255715095
100 "9582$727$47" "137450" 2260 "ROM01$2" "ROMAINE" [48.084438323974595,7.28825998306274] 184.21046460936225
100 "9582$727$47" "137450" 2261 "rep03" "REPUBLIQUE" [48.084438323974595,7.28825998306274] 663.7893808047429
916 "9582$687$22" "137254" 21383 "Ber01" "BERLIN" [48.07149887084961,7.32875919342041] 135.11011103678996
916 "9582$687$22" "137254" 21384 "Vie01" "VIENNE" [48.07149887084961,7.32875919342041] 432.8934632978509
360 "9582$651$56" "137986" 7463 "BRA01" "BRANT" [48.0897178649902,7.332759857177733] 142.31995653653007
511 "9582$654$6" "130610" 11300 "BaN01" "BASE NAUTIQUE" [48.1101417541504,7.37979984283447] 328.52037255715095
482 "9582$656$4" "129752" 10295 "HCC02" "HOUSSEN CTRE CIAL" [48.12493896484379,7.370610237121581] 304.425931656108
956 "9582$676$23" "137300" 22165 "Vie01" "VIENNE" [48.0698585510254,7.325439929962161] 147.2907495223174
1322 "9582$664$37" "138332" 30005 "SGi01" "ST GILLES" [48.076099395752,7.266428947448731] 111.93777468580959
504 "9582$662$5" "130199" 11066 "HCC02" "HOUSSEN CTRE CIAL" [48.12493896484379,7.370610237121581] 304.425931656108
880 "9582$647$20" "134772" 20679 "Vie01" "VIENNE" [48.0698585510254,7.325439929962161] 147.2907495223174
593 "9582$707$10" "132693" 13911 "CTu01" "CITE TURENNE" [48.08562088012701,7.265939235687262] 124.96014409337623
5 "9582$633$42" "138379" 57 "Ess01" "ESSOR DE L'ILL" [48.07680892944341,7.403429985046389] 195.959942330996
525 "9582$655$7" "133755" 11729 "HCC02" "HOUSSEN CTRE CIAL" [48.12493896484379,7.370610237121581] 304.425931656108
864 "9582$646$19" "131170" 20390 "Ber01" "BERLIN" [48.07123947143549,7.32860994338989] 105.74934144163161
864 "9582$646$19" "131170" 20391 "Vie01" "VIENNE" [48.07123947143549,7.32860994338989] 411.40842712883676
104 "9582$726$48" "137453" 2346 "Log01" "LOGELBACH GARE" [48.0888404846191,7.321249961853031] 239.68078706844548
104 "9582$726$48" "137453" 2347 "Her01" "HERZOG" [48.0888404846191,7.321249961853031] 397.626753600662
104 "9582$726$48" "137453" 2348 "Lcc01" "LOGELBACH CTRE CIAL" [48.08905029296879,7.320388793945309] 518.2634756903117
325 "9582$7486$3" "128970" 6795 "wal01" "WALBACH" [48.0648002624512,7.230059146881102] 419.5821768426029
325 "9582$7486$3" "128970" 6796 "WAL" "WALBACH MAIRIE" [48.0648002624512,7.230059146881102] 461.97199164448347
stop_too_far_from_shape_using_user_distance WARNING 397

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 397 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.
605 "9582$631$11" "137709" 14195 "SMi02" "ST MICHEL" [48.090569496330865,7.316350500120469] 103.15440794897503
605 "9582$631$11" "137709" 14196 "Get02" "GILLET" [48.091909827315405,7.31248888308416] 103.53268501983774
605 "9582$631$11" "137709" 14198 "ICe02" "INGERSHEIM CTRE" [48.095853438924586,7.304270121418642] 104.19280527022036
9 "9582$630$41" "138387" 142 "See01" "CAMILLE SEE GYMNASE" [48.08022914251444,7.325474010270339] 115.55642469057213
9 "9582$630$41" "138387" 143 "CSe01" "CAMILLE SEE" [48.07970277986741,7.327325997644606] 111.19518243053184
9 "9582$630$41" "138387" 144 "Lux02" "LUXEMBOURG" [48.078942125391244,7.330359490739522] 119.61977126496605
9 "9582$630$41" "138387" 145 "HPa01" "HOPITAL PASTEUR" [48.07755010309461,7.335689601235574] 119.6233078034859
9 "9582$630$41" "138387" 146 "EBe01" "BENES" [48.075865988029996,7.341046786038048] 121.46024927024723
9 "9582$630$41" "138387" 148 "Gar03" "GARE" [48.07393773400939,7.347812970220218] 144.93150541229127
9 "9582$630$41" "138387" 149 "Cdm01" "CHAMP DE MARS" [48.07472460681842,7.350545535420622] 139.80248486264207
9 "9582$630$41" "138387" 150 "Thé03" "THEATRE" [48.07889422856983,7.354327214602022] 134.85688657246163
9 "9582$630$41" "138387" 151 "Rap01" "RAPP" [48.08122444161832,7.358290195491787] 169.76546522887523
9 "9582$630$41" "138387" 152 "Vau01" "VAUBAN" [48.08040318347716,7.360574375568552] 144.10902619138602
9 "9582$630$41" "138387" 153 "BoG01" "BONNES GENS" [48.07996131944677,7.365777387752516] 154.72394815591983
9 "9582$630$41" "138387" 154 "Cam01" "UNIVERSITE" [48.079878440159284,7.370980416167443] 154.88951804658353
9 "9582$630$41" "138387" 155 "Ora01" "ORANGERIE" [48.0799431030177,7.379089276549351] 157.03063205905178
9 "9582$630$41" "138387" 156 "CaI01" "CAMPING DE L'ILL" [48.080987657858884,7.384902749728219] 143.5146763556027
9 "9582$630$41" "138387" 157 "HWM02" "HORBOURG-WIHR MAIRIE" [48.081378563011185,7.390523371617226] 192.66454598291674
9 "9582$630$41" "138387" 158 "Rma01" "ROMAINS" [48.080780916467745,7.396175972260593] 174.38609754390495
9 "9582$630$41" "138387" 159 "Ess01" "ESSOR DE L'ILL" [48.07689437877891,7.403331057682459] 207.9662544312071
9 "9582$630$41" "138387" 160 "Cos01" "COSAQUES" [48.068184852604155,7.4139082034938495] 207.6408810527197
9 "9582$630$41" "138387" 161 "And01" "ANDOLSHEIM CTRE" [48.06598987591126,7.414391446473526] 237.5753593539162
9 "9582$630$41" "138387" 162 "Prm01" "PRIMEVERES" [48.06361753292183,7.41833437583383] 268.41647669166605
9 "9582$630$41" "138387" 163 "All01" "ALLEE DES PEUPLIERS" [48.06052774928119,7.421285896816027] 297.50061727013934
9 "9582$630$41" "138387" 164 "Sug01" "SUNDHOFFEN GARE" [48.048904172836316,7.420054035779766] 312.19365104828523
9 "9582$630$41" "138387" 165 "Mug01" "MUGUETS" [48.045910578057565,7.418931075391283] 286.8502902181484
9 "9582$630$41" "138387" 166 "Sun01" "SUNDHOFFEN CTRE" [48.04249838636082,7.418292045472519] 309.96298773236657
9 "9582$630$41" "138387" 167 "Alp02" "ALPES" [48.04250471071737,7.415184359419271] 299.52730600245525
9 "9582$630$41" "138387" 168 "Alp01" "ALPES" [48.0449371337891,7.408889770507811] 292.5800520395985
538 "9582$663$8" "138259" 12131 "Wim02" "WIMPFELING" [48.06881042778518,7.329107639469816] 227.13223035315463
538 "9582$663$8" "138259" 12132 "Sto02" "STOEBER" [48.06954158446034,7.331849054688587] 233.6964610081567
538 "9582$663$8" "138259" 12133 "Hoh02" "HOHNACK" [48.07116572706345,7.335785933157347] 240.1438619698725
538 "9582$663$8" "138259" 12134 "Sou02" "SOULTZ" [48.07266616824189,7.339212576507607] 237.66245387141595
538 "9582$663$8" "138259" 12135 "Gou01" "GARE OUEST" [48.074687140364766,7.344157150797275] 212.68968997499655
538 "9582$663$8" "138259" 12136 "Gar03" "GARE" [48.074983869280985,7.348509175429176] 271.2438391047794
538 "9582$663$8" "138259" 12137 "Cdm01" "CHAMP DE MARS" [48.07378304258592,7.349587515371681] 266.38174426182485
538 "9582$663$8" "138259" 12138 "Thé03" "THEATRE" [48.077865055856414,7.35363877064013] 257.9747948715383
538 "9582$663$8" "138259" 12139 "Rap01" "RAPP" [48.08105861423233,7.356602971602656] 280.6287172156409
538 "9582$663$8" "138259" 12140 "Vau01" "VAUBAN" [48.080953219901446,7.359078914057286] 270.9021374492423
538 "9582$663$8" "138259" 12141 "Bil01" "BILLING" [48.081093304026155,7.364252384387609] 272.34897139079766
538 "9582$663$8" "138259" 12142 "Pla01" "PLATANE" [48.083435736797526,7.365827443557913] 255.84733627976345
538 "9582$663$8" "138259" 12143 "Soi01" "SOIE" [48.08510971088094,7.366956868561697] 298.0999388219631
538 "9582$663$8" "138259" 12144 "Pru01" "PRUNIER" [48.08881561486314,7.369336647868193] 257.5319468177573
538 "9582$663$8" "138259" 12145 "Lad01" "LADHOF" [48.09165799221418,7.37136296608681] 257.22108195441757
538 "9582$663$8" "138259" 12146 "Lie03" "LIEBHERR" [48.09478378314549,7.374167321423576] 219.935221630663
538 "9582$663$8" "138259" 12147 "Kie01" "KIENER" [48.095750588884755,7.369505588709985] 324.7257485462395
538 "9582$663$8" "138259" 12148 "Lav01" "LAVOISIER" [48.098260062127004,7.368827819154848] 412.1357667650216
538 "9582$663$8" "138259" 12149 "Cue04" "CURIE" [48.1034068403583,7.369813031125024] 416.4434789262948
538 "9582$663$8" "138259" 12150 "Haus02" "HAUSSMANN" [48.107593693078556,7.3727222909544015] 406.89042573320705
538 "9582$663$8" "138259" 12151 "Eta02" "CTRE D'EXAMEN DU PERMIS" [48.107517242497515,7.380058193164875] 358.37009251828766
stops_match_shape_out_of_order WARNING 2

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.
9 "9582$630$41" "138387" 168 "Alp01" "ALPES" [48.042987093841155,7.41139893886665] 167 "Alp02" "ALPES" [48.04302206181336,7.411230539719609]
53 "9582$669$43" "138469" 1266 "Alp01" "ALPES" [48.042987093841155,7.41139893886665] 1265 "Alp02" "ALPES" [48.04302206181336,7.411230539719609]
trip_distance_exceeds_shape_distance_below_threshold WARNING 290

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 290 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.
"128874" "9582$716$1" 4635.0 4289.0 0.08234436005644499
"128883" "9582$716$1" 4635.0 4289.0 0.08234436005644499
"134292" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134293" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134294" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134295" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134296" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134297" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134298" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134299" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134300" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134301" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"128884" "9582$716$1" 4635.0 4289.0 0.08234436005644499
"134302" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134303" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134304" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134305" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134306" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134307" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134308" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134309" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134310" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134311" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"128885" "9582$716$1" 4635.0 4289.0 0.08234436005644499
"134312" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134313" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134314" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134315" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134316" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134317" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134318" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134319" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"134320" "9582$6967$2" 1135.0 1134.0 0.08234436005644499
"128886" "9582$716$1" 4635.0 4289.0 0.08234436005644499
"138578" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138579" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138581" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138583" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138585" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138587" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138589" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138591" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138593" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138595" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138596" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138599" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138600" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138602" "9582$697$58" 2238.0 2218.0 0.016211018230268326
"138604" "9582$695$57" 7724.0 7717.0 0.016211018230268326
"138605" "9582$695$57" 7724.0 7717.0 0.016211018230268326