GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-13T03:36:02Z,
for the dataset file:///shared/citeline.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: 758
  • Routes: 56
  • Shapes: 236
  • Stops: 1554
  • Trips: 5172

Specification Compliance report

5010 notices reported (0 errors, 5010 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 37

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.
"CALC_15439829" 126689 0.0 1 126688 0.0 0 0.2451611027058516
"CALC_15439854" 141276 0.0 1 141275 0.0 0 0.2451611027058516
"CALC_15439856" 142404 0.0 1 142403 0.0 0 0.2451611027058516
"CALC_15439855" 141663 0.0 1 141662 0.0 0 0.2451611027058516
"CALC_15439834" 130513 0.0 1 130512 0.0 0 0.2451611027058516
"CALC_15439833" 129790 0.0 1 129789 0.0 0 0.2451611027058516
"CALC_15439835" 131248 0.0 1 131247 0.0 0 0.2451611027058516
"CALC_15439653" 14380 17768.0 766 14379 17768.0 765 0.23548802927289902
"CALC_15439659" 18683 31896.0 1358 18682 31896.0 1357 7.374575155271701E-6
"CALC_15439659" 18689 31994.0 1364 18688 31994.0 1363 7.363169604406676E-6
"CALC_15439663" 21450 37.0 3 21449 37.0 2 7.363169604406676E-6
"CALC_15439663" 21454 116.0 7 21453 116.0 6 0.9157015513326852
"CALC_15439663" 21456 136.0 9 21455 136.0 8 7.374575155271701E-6
"CALC_15439662" 21438 21159.0 944 21437 21159.0 943 7.374575155271701E-6
"CALC_15439662" 21444 21258.0 950 21443 21258.0 949 7.363169604406676E-6
"CALC_15439667" 26084 27997.0 1170 26083 27997.0 1169 7.374575155271701E-6
"CALC_15439667" 26090 28096.0 1176 26089 28096.0 1175 7.363169604406676E-6
"CALC_15439666" 24905 36053.0 1520 24904 36053.0 1519 7.374575155271701E-6
"CALC_15439666" 24911 36152.0 1526 24910 36152.0 1525 7.363169604406676E-6
"CALC_15439752" 80410 10324.0 411 80409 10324.0 410 0.23548802927289902
"CALC_15439643" 9567 0.0 1 9566 0.0 0 0.2451611027058516
"CALC_15439642" 9171 0.0 1 9170 0.0 0 0.2451611027058516
"CALC_15439644" 9963 0.0 1 9962 0.0 0 0.2451611027058516
"CALC_15439649" 11258 0.0 1 11257 0.0 0 0.2451611027058516
"CALC_15439681" 33491 37.0 3 33490 37.0 2 7.363169604406676E-6
"CALC_15439681" 33495 116.0 7 33494 116.0 6 0.9157015513326852
"CALC_15439681" 33497 136.0 9 33496 136.0 8 7.374575155271701E-6
"CALC_15439683" 36782 18880.0 778 36781 18880.0 777 7.374575155271701E-6
"CALC_15439683" 36788 18978.0 784 36787 18978.0 783 7.363169604406676E-6
"CALC_15439682" 34749 37.0 3 34748 37.0 2 7.363169604406676E-6
"CALC_15439682" 34753 116.0 7 34752 116.0 6 0.9157015513326852
"CALC_15439682" 34755 136.0 9 34754 136.0 8 7.374575155271701E-6
"CALC_15439685" 38025 37.0 3 38024 37.0 2 7.363169604406676E-6
"CALC_15439685" 38029 116.0 7 38028 116.0 6 0.9157015513326852
"CALC_15439685" 38031 136.0 9 38030 136.0 8 7.374575155271701E-6
"CALC_15439684" 38013 28027.0 1222 38012 28027.0 1221 7.374575155271701E-6
"CALC_15439684" 38019 28126.0 1228 38018 28126.0 1227 7.363169604406676E-6
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 "9770:1-13-32"
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" 1498 "stop_name" "BEYREN-LES-SIERCK - Impasse Des Pres "
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 4950

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 4950 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.
"routes.txt" "route_long_name" "BEYREN LES SIERCK <-> THIONVILLE" 49
"routes.txt" "route_long_name" "BASSE RENTGEN <-> THIONVILLE" 50
"routes.txt" "route_long_name" "MONDORFF <-> THIONVILLE" 51
"routes.txt" "route_long_name" "RODEMACK <-> THIONVILLE" 54
"stops.txt" "stop_name" "EGLISE DE FONTOY" 2
"stops.txt" "stop_name" "EGLISE DE FONTOY" 3
"stops.txt" "stop_name" "EGLISE DE FONTOY" 4
"stops.txt" "stop_name" "RUE DU MOULIN" 5
"stops.txt" "stop_name" "RUE DU MOULIN" 6
"stops.txt" "stop_name" "RUE DU MOULIN" 7
"stops.txt" "stop_name" "ROUTE DE NILVANGE" 8
"stops.txt" "stop_name" "RTE DE NILVANGE" 9
"stops.txt" "stop_name" "RTE DE NILVANGE" 10
"stops.txt" "stop_name" "RTE DE NILVANGE" 11
"stops.txt" "stop_name" "RTE DE NILVANGE" 12
"stops.txt" "stop_name" "STE BERTHE" 13
"stops.txt" "stop_name" "STE BERTHE" 14
"stops.txt" "stop_name" "STE BERTHE" 15
"stops.txt" "stop_name" "STATION FOCH" 16
"stops.txt" "stop_name" "STATION FOCH" 17
"stops.txt" "stop_name" "STATION FOCH" 18
"stops.txt" "stop_name" "EGLISE ST MARTIN" 20
"stops.txt" "stop_name" "BUREAU CENTRAL" 21
"stops.txt" "stop_name" "BUREAU CENTRAL" 22
"stops.txt" "stop_name" "BUREAU CENTRAL" 23
"stops.txt" "stop_name" "VERDUN - FLORANGE" 27
"stops.txt" "stop_name" "VERDUN - FLORANGE" 28
"stops.txt" "stop_name" "VERDUN - FLORANGE" 29
"stops.txt" "stop_name" "DUC DE FLEURY" 30
"stops.txt" "stop_name" "DUC DE FLEURY" 31
"stops.txt" "stop_name" "DUC DE FLEURY" 32
"stops.txt" "stop_name" "GRAND'RUE" 33
"stops.txt" "stop_name" "GRAND'RUE" 34
"stops.txt" "stop_name" "GRAND'RUE" 35
"stops.txt" "stop_name" "EGLISE STE AGATHE" 36
"stops.txt" "stop_name" "EGLISE STE AGATHE" 37
"stops.txt" "stop_name" "EGLISE STE AGATHE" 38
"stops.txt" "stop_name" "MOULIN DASPICH" 39
"stops.txt" "stop_name" "MOULIN DASPICH" 40
"stops.txt" "stop_name" "MOULIN DASPICH" 41
"stops.txt" "stop_name" "MAIRIE - TERVILLE" 42
"stops.txt" "stop_name" "MAIRIE - TERVILLE" 43
"stops.txt" "stop_name" "MAIRIE - TERVILLE" 44
"stops.txt" "stop_name" "RUE BASSE - TERVILLE" 45
"stops.txt" "stop_name" "RUE BASSE - TERVILLE" 46
"stops.txt" "stop_name" "RUE BASSE - TERVILLE" 47
"stops.txt" "stop_name" "CHÂTEAU D'EAU - THIONVILLE" 48
"stops.txt" "stop_name" "CHÂTEAU D'EAU - THIONVILLE" 49
"stops.txt" "stop_name" "CHÂTEAU D'EAU - THIONVILLE" 50
"stops.txt" "stop_name" "BANQUE DE FRANCE" 51
route_color_contrast WARNING 20

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"53" 6 "#FFB673" "#FAFAFA"
"35" 8 "#B3C9F0" "#FAFAFA"
"43" 12 "#A3E35E" "#FAFAFA"
"44" 13 "#BFC985" "#FAFAFA"
"60" 15 "#FFE912" "#FAFAFA"
"S01" 20 "#F1AA86" "#FAFAFA"
"S08" 27 "#BEC7BC" "#FAFAFA"
"S09" 28 "#F4B2E4" "#FAFAFA"
"S11" 30 "#CFA2D9" "#FAFAFA"
"S22" 32 "#D5E456" "#FAFAFA"
"54" 35 "#FABE78" "#FAFAFA"
"36" 36 "#B2CDF4" "#FAFAFA"
"38" 37 "#AAD2F1" "#FAFAFA"
"45A" 38 "#CBDAAB" "#FAFAFA"
"45B" 39 "#CBDAAB" "#FAFAFA"
"46" 40 "#C0DAAB" "#FAFAFA"
"47" 41 "#D2DCAF" "#FAFAFA"
"48" 42 "#C8D2B4" "#FAFAFA"
"61" 55 "#FFF27F" "#FAFAFA"
"N60" 56 "#FFE912" "#FAFAFA"