saskatoon-transit — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-24T21:42:31Z,
for the dataset file:///shared/saskatoon-transit_4d472ea4.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. routes.txt
  4. shapes.txt
  5. stop_times.txt
  6. stops.txt
  7. trips.txt

Counts


  • Agencies: 0
  • Blocks: 251
  • Routes: 0
  • Shapes: 195
  • Stops: 1375
  • Trips: 6277

Specification Compliance report

4780 notices reported (384 errors, 1304 warnings, 3092 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 8

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`.
"1524780" "5344" 45067 0.5558 3 45066 0.5558 2
"1524779" "5344" 45057 0.5558 3 45056 0.5558 2
"1524778" "5344" 45347 0.5558 3 45346 0.5558 2
"1524777" "5344" 45337 0.5558 3 45336 0.5558 2
"1524776" "5344" 45327 0.5558 3 45326 0.5558 2
"1524775" "5344" 45317 0.5558 3 45316 0.5558 2
"1524774" "5344" 45307 0.5558 3 45306 0.5558 2
"1524773" "5344" 45147 0.5558 3 45146 0.5558 2
equal_shape_distance_diff_coordinates ERROR 26

equal_shape_distance_diff_coordinates

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 the 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 different coordinates indicate an error.

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.
"97514" 25054 0.0649 10 25050 0.0649 9 1.129949690699537
"97510" 24701 0.1396 3 24679 0.1396 2 139.98977480779232
"97500" 23496 0.1396 3 23493 0.1396 2 139.98977480779232
"97529" 27896 0.0649 10 27891 0.0649 9 1.129949690699537
"97401" 11865 0.0032 3 11864 0.0032 2 2.936586481619359
"97400" 10824 0.0032 3 10823 0.0032 2 2.936586481619359
"97436" 17443 0.0649 10 17442 0.0649 9 1.129949690699537
"97552" 30739 0.0305 3 30738 0.0305 2 30.00662936075643
"97550" 30470 0.0499 3 30469 0.0499 2 50.62283637118067
"97549" 30779 0.0499 3 30778 0.0499 2 50.62283637118067
"97479" 20094 0.047 3 20093 0.047 2 46.92438237711729
"97478" 20185 0.047 3 20184 0.047 2 46.92438237711729
"97497" 23170 0.1396 3 23169 0.1396 2 139.98977480779232
"97493" 22777 0.024 3 22776 0.024 2 24.46444477246213
"97481" 20621 0.0177 3 20616 0.0177 2 17.88086292847421
"97480" 20044 0.0032 3 20043 0.0032 2 2.936586481619359
"97383" 7045 2.7686 95 7040 2.7686 94 1.1302585849141356
"97383" 7055 2.7786 97 7050 2.7786 96 1.1807146659776948
"97383" 7175 3.3196 127 7172 3.3196 126 1.1302586764487663
"97383" 7181 3.3296 129 7178 3.3296 128 1.1302586777087495
"97382" 6697 0.0326 3 6696 0.0326 2 32.68255831646826
"97382" 6791 0.2914 98 6790 0.2914 97 1.9799773383846713
"97382" 7084 2.9559 244 7082 2.9559 243 1.1302586777087495
"97382" 7099 2.9659 246 7095 2.9659 245 1.1302586764487663
"97382" 7098 3.5069 276 7094 3.5069 275 1.1807146659776948
"97382" 7106 3.5169 278 7102 3.5169 277 1.1302585849141356
invalid_color ERROR 54

invalid_color

A field contains an invalid color value.

A color must be encoded as a six-digit hexadecimal number. The leading "#" is not included.

Example: FFFFFF for white, 000000 for black or 0039A6 for the A,C,E lines in NYC MTA.

You can see more about this notice here.

Only the first 50 of 54 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"routes.txt" 2 "route_text_color" "0"
"routes.txt" 3 "route_text_color" "0"
"routes.txt" 4 "route_text_color" "0"
"routes.txt" 5 "route_text_color" "0"
"routes.txt" 6 "route_text_color" "0"
"routes.txt" 7 "route_text_color" "0"
"routes.txt" 8 "route_text_color" "0"
"routes.txt" 9 "route_text_color" "0"
"routes.txt" 10 "route_text_color" "0"
"routes.txt" 11 "route_text_color" "0"
"routes.txt" 12 "route_text_color" "0"
"routes.txt" 13 "route_text_color" "0"
"routes.txt" 14 "route_text_color" "0"
"routes.txt" 15 "route_text_color" "0"
"routes.txt" 16 "route_text_color" "0"
"routes.txt" 17 "route_text_color" "0"
"routes.txt" 18 "route_text_color" "0"
"routes.txt" 19 "route_text_color" "0"
"routes.txt" 20 "route_text_color" "0"
"routes.txt" 21 "route_text_color" "0"
"routes.txt" 22 "route_text_color" "0"
"routes.txt" 23 "route_text_color" "0"
"routes.txt" 24 "route_text_color" "0"
"routes.txt" 25 "route_text_color" "0"
"routes.txt" 26 "route_text_color" "0"
"routes.txt" 27 "route_text_color" "0"
"routes.txt" 28 "route_text_color" "0"
"routes.txt" 29 "route_text_color" "0"
"routes.txt" 30 "route_text_color" "0"
"routes.txt" 31 "route_text_color" "0"
"routes.txt" 32 "route_text_color" "0"
"routes.txt" 33 "route_text_color" "0"
"routes.txt" 34 "route_text_color" "0"
"routes.txt" 35 "route_text_color" "0"
"routes.txt" 36 "route_text_color" "0"
"routes.txt" 37 "route_text_color" "0"
"routes.txt" 38 "route_text_color" "0"
"routes.txt" 39 "route_text_color" "0"
"routes.txt" 40 "route_text_color" "0"
"routes.txt" 41 "route_text_color" "0"
"routes.txt" 42 "route_text_color" "0"
"routes.txt" 43 "route_text_color" "0"
"routes.txt" 44 "route_text_color" "0"
"routes.txt" 45 "route_text_color" "0"
"routes.txt" 46 "route_text_color" "0"
"routes.txt" 47 "route_text_color" "0"
"routes.txt" 48 "route_text_color" "0"
"routes.txt" 49 "route_text_color" "0"
"routes.txt" 50 "route_text_color" "0"
"routes.txt" 51 "route_text_color" "0"
missing_trip_edge ERROR 136

missing_trip_edge

Missing trip edge arrival_time or departure_time.

First and last stop of a trip must define both arrival_time and departure_time fields. Per stop_times.txt, "If there are not separate times for arrival and departure at a stop, enter the same value for arrival_time and departure_time."

You can see more about this notice here.

Only the first 50 of 136 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. stopSequence (?) `stops.stop_sequence` of the faulty record. tripId (?) The `trips.trip_id` of the faulty record. specifiedField (?) Name of the missing field.
23854 43 "1522068" "arrival_time"
23854 43 "1522068" "departure_time"
23854 43 "1522068" "arrival_time"
23854 43 "1522068" "departure_time"
45352 20 "1524684" "arrival_time"
45352 20 "1524684" "departure_time"
45353 21 "1524684" "arrival_time"
45353 21 "1524684" "departure_time"
74602 21 "1521645" "arrival_time"
74602 21 "1521645" "departure_time"
74615 34 "1521645" "arrival_time"
74615 34 "1521645" "departure_time"
93054 8 "1524553" "arrival_time"
93054 8 "1524553" "departure_time"
93110 11 "1524553" "arrival_time"
93110 11 "1524553" "departure_time"
84326 1 "1523146" "arrival_time"
84326 1 "1523146" "departure_time"
84187 36 "1523146" "arrival_time"
84187 36 "1523146" "departure_time"
53957 1 "1525788" "arrival_time"
53957 1 "1525788" "departure_time"
53972 16 "1525788" "arrival_time"
53972 16 "1525788" "departure_time"
61902 21 "1519996" "arrival_time"
61902 21 "1519996" "departure_time"
61904 23 "1519996" "arrival_time"
61904 23 "1519996" "departure_time"
92044 1 "1524383" "arrival_time"
92044 1 "1524383" "departure_time"
92049 6 "1524383" "arrival_time"
92049 6 "1524383" "departure_time"
31205 1 "1523093" "arrival_time"
31205 1 "1523093" "departure_time"
31079 36 "1523093" "arrival_time"
31079 36 "1523093" "departure_time"
14802 8 "1521270" "arrival_time"
14802 8 "1521270" "departure_time"
14914 20 "1521270" "arrival_time"
14914 20 "1521270" "departure_time"
91655 23 "1524356" "arrival_time"
91655 23 "1524356" "departure_time"
91708 27 "1524356" "arrival_time"
91708 27 "1524356" "departure_time"
39352 9 "1523966" "arrival_time"
39352 9 "1523966" "departure_time"
39421 27 "1523966" "arrival_time"
39421 27 "1523966" "departure_time"
40884 1 "1524211" "arrival_time"
40884 1 "1524211" "departure_time"
stop_time_timepoint_without_times ERROR 160

stop_time_timepoint_without_times

arrival_time or departure_time not specified for timepoint.

Any records with stop_times.timepoint set to 1 must define a value for stop_times.arrival_time and stop_times.departure_time fields.

You can see more about this notice here.

Only the first 50 of 160 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id. stopSequence (?) The faulty record's `stops.stop_sequence`. specifiedField (?) Either `departure_time` or `arrival_time`.
14904 "1521270" 10 "arrival_time"
14904 "1521270" 10 "departure_time"
14914 "1521270" 20 "arrival_time"
14914 "1521270" 20 "departure_time"
19709 "1521740" 1 "arrival_time"
19709 "1521740" 1 "departure_time"
19716 "1521740" 8 "arrival_time"
19716 "1521740" 8 "departure_time"
19721 "1521740" 13 "arrival_time"
19721 "1521740" 13 "departure_time"
19729 "1521740" 21 "arrival_time"
19729 "1521740" 21 "departure_time"
21948 "1521929" 25 "arrival_time"
21948 "1521929" 25 "departure_time"
22017 "1521929" 32 "arrival_time"
22017 "1521929" 32 "departure_time"
22037 "1521929" 37 "arrival_time"
22037 "1521929" 37 "departure_time"
23854 "1522068" 43 "arrival_time"
23854 "1522068" 43 "departure_time"
30951 "1523093" 23 "arrival_time"
30951 "1523093" 23 "departure_time"
31043 "1523093" 30 "arrival_time"
31043 "1523093" 30 "departure_time"
31079 "1523093" 36 "arrival_time"
31079 "1523093" 36 "departure_time"
31205 "1523093" 1 "arrival_time"
31205 "1523093" 1 "departure_time"
31210 "1523093" 6 "arrival_time"
31210 "1523093" 6 "departure_time"
31220 "1523093" 16 "arrival_time"
31220 "1523093" 16 "departure_time"
39410 "1523966" 16 "arrival_time"
39410 "1523966" 16 "departure_time"
39421 "1523966" 27 "arrival_time"
39421 "1523966" 27 "departure_time"
40884 "1524211" 1 "arrival_time"
40884 "1524211" 1 "departure_time"
40890 "1524211" 7 "arrival_time"
40890 "1524211" 7 "departure_time"
45353 "1524684" 21 "arrival_time"
45353 "1524684" 21 "departure_time"
45956 "1524822" 27 "arrival_time"
45956 "1524822" 27 "departure_time"
46989 "1524930" 1 "arrival_time"
46989 "1524930" 1 "departure_time"
46996 "1524930" 8 "arrival_time"
46996 "1524930" 8 "departure_time"
48355 "1524991" 25 "arrival_time"
48355 "1524991" 25 "departure_time"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 678

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 678 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.
"97514" 25030 0.0615 4 25026 0.0615 3 1.0977857252752088
"97514" 25038 0.0625 6 25034 0.0625 5 0.8726966047894945
"97514" 25046 0.0635 8 25042 0.0635 7 0.6671706075809258
"97514" 25062 0.0663 12 25058 0.0663 11 0.9915912603160509
"97514" 25074 0.0683 15 25070 0.0683 14 0.7330843065242868
"97514" 25086 0.0703 18 25082 0.0703 17 0.7584391602520717
"97514" 25094 0.0713 20 25090 0.0713 19 0.7590357742124298
"97514" 25099 0.0723 22 25098 0.0723 21 0.2948093959469982
"97514" 25101 0.0733 24 25100 0.0733 23 0.5724908947183628
"97514" 24802 0.0743 26 25102 0.0743 25 0.6243115370591309
"97514" 24805 0.0753 28 24804 0.0753 27 0.9899712294051323
"97514" 24812 0.0763 30 24807 0.0763 29 0.759035858423825
"97514" 24926 0.1027 41 24921 0.1027 40 0.13047458032881473
"97514" 24941 0.108 44 24936 0.108 43 0.06825882642301309
"97514" 24956 0.1122 47 24951 0.1122 46 1.0540618472275098
"97514" 24999 0.1404 49 24995 0.1404 48 0.7493990002524413
"97514" 25007 0.1481 51 25003 0.1481 50 0.17607252539822665
"97418" 14960 8.2301 214 14959 8.2301 213 0.4246419064274547
"97418" 14962 8.2323 216 14961 8.2323 215 0.7209465106682967
"97418" 14965 8.2374 219 14964 8.2374 218 0.17614238727847725
"97418" 14967 8.2396 221 14966 8.2396 220 0.5559755059637761
"97418" 14971 8.2461 225 14970 8.2461 224 0.13049820944217028
"97418" 14975 8.4571 229 14974 8.4571 228 1.0476162398487272
"97539" 29445 0.0468 4 29440 0.0468 3 0.8486899460183852
"97538" 29548 0.7025 21 29547 0.7025 20 0.43108146038333267
"97538" 29483 4.9363 128 29478 4.9363 127 0.8486899460183852
"97419" 15257 8.6562 221 15256 8.6562 220 0.4246419064274547
"97419" 15259 8.6584 223 15258 8.6584 222 0.7209465106682967
"97419" 15262 8.6635 226 15261 8.6635 225 0.17614238727847725
"97419" 15264 8.6657 228 15263 8.6657 227 0.5559755059637761
"97419" 15268 8.6722 232 15267 8.6722 231 0.13049820944217028
"97419" 15272 8.8832 236 15271 8.8832 235 1.0476162398487272
"97414" 14353 2.0978 49 14352 2.0978 48 1.0476162398487272
"97414" 14357 2.3088 53 14356 2.3088 52 0.13049820944217028
"97414" 14361 2.3153 57 14360 2.3153 56 0.5559755059637761
"97414" 14363 2.3175 59 14362 2.3175 58 0.17614238727847725
"97414" 14366 2.3226 62 14365 2.3226 61 0.7209465106682967
"97414" 14368 2.3248 64 14367 2.3248 63 0.4246419064274547
"97535" 28913 2.1486 43 28912 2.1486 42 0.8486899460183852
"97535" 29024 6.4946 154 29023 6.4946 153 0.1304756008279086
"97535" 29026 6.5086 156 29025 6.5086 155 0.5460861250012425
"97413" 13653 2.0978 49 13652 2.0978 48 1.0476162398487272
"97413" 13657 2.3088 53 13656 2.3088 52 0.13049820944217028
"97413" 13661 2.3153 57 13660 2.3153 56 0.5559755059637761
"97413" 13663 2.3175 59 13662 2.3175 58 0.17614238727847725
"97413" 13666 2.3226 62 13665 2.3226 61 0.7209465106682967
"97413" 13668 2.3248 64 13667 2.3248 63 0.4246419064274547
"97537" 28802 0.7025 21 28901 0.7025 20 0.43108146038333267
"97415" 14025 2.0978 49 14018 2.0978 48 1.0476162398487272
"97415" 14053 2.3088 53 14046 2.3088 52 0.13049820944217028
missing_recommended_field WARNING 1

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_id"
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 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.
"stops.txt" "stop_name" "23rd / D" 52
"stops.txt" "stop_name" "3rd / 20th" 145
"trips.txt" "trip_headsign" "NELSON RD" 2094
"trips.txt" "trip_headsign" "NELSON RD" 2095
"trips.txt" "trip_headsign" "NELSON RD" 2096
"trips.txt" "trip_headsign" "NELSON RD" 2097
"trips.txt" "trip_headsign" "NELSON RD" 2098
"trips.txt" "trip_headsign" "NELSON RD" 2099
"trips.txt" "trip_headsign" "NELSON RD" 2100
"trips.txt" "trip_headsign" "NELSON RD" 2101
"trips.txt" "trip_headsign" "NELSON RD" 2102
service_has_no_active_day_of_the_week WARNING 5

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
5 "1201"
6 "12901"
7 "13001"
8 "12801"
9 "11903"
stop_without_stop_time WARNING 9

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.
179 "5527" "Feheregyhazi / Bolstad"
183 "5528" "Kalra Road / Forsey"
187 "5529" "Kalra Road / Whitehead"
191 "5581" "Kalra Road / Shevchenko"
195 "5776" "Feheregyhazi / Shevchenko"
199 "5981" "Feheregyhazi / Whitehead"
203 "5778" "Feheregyhazi / Forsey"
207 "5777" "Orban Way / Fedoruk"
316 "5962" "Ludlow / Heath"
unusable_trip WARNING 307

unusable_trip

Trips must have more than one stop to be usable.

A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.

You can see more about this notice here.

Only the first 50 of 307 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's id.
34 "1519882"
35 "1519884"
36 "1519885"
87 "1520532"
88 "1520539"
99 "1520537"
132 "1520312"
133 "1520311"
168 "1520093"
169 "1520100"
193 "1520287"
201 "1520286"
202 "1520538"
203 "1520531"
317 "1519916"
368 "1520049"
369 "1520043"
417 "1520958"
448 "1521069"
452 "1520752"
453 "1520757"
484 "1520927"
529 "1521072"
530 "1521071"
553 "1520721"
564 "1520720"
586 "1520760"
619 "1521268"
620 "1521269"
761 "1521356"
762 "1521357"
763 "1521358"
765 "1521553"
782 "1521584"
795 "1521583"
813 "1521780"
814 "1521781"
815 "1521782"
831 "1521913"
846 "1521899"
919 "1522181"
920 "1522180"
921 "1522233"
948 "1522209"
1078 "1521590"
1095 "1521724"
1109 "1522068"
1141 "1522098"
1143 "1522179"
1170 "1521723"
unused_trip WARNING 292

unused_trip

Trip is not be used in stop_times.txt

Trips should be referred to at least once in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 292 affected records are displayed below.

tripId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"1519882" 34
"1519884" 35
"1519885" 36
"1520532" 87
"1520539" 88
"1520537" 99
"1520312" 132
"1520311" 133
"1520093" 168
"1520100" 169
"1520287" 193
"1520286" 201
"1520538" 202
"1520531" 203
"1519916" 317
"1520049" 368
"1520043" 369
"1520958" 417
"1521069" 448
"1520752" 452
"1520757" 453
"1520927" 484
"1521072" 529
"1521071" 530
"1520721" 553
"1520720" 564
"1521268" 619
"1521269" 620
"1521356" 761
"1521357" 762
"1521358" 763
"1521553" 765
"1521584" 782
"1521583" 795
"1521780" 813
"1521781" 814
"1521782" 815
"1521913" 831
"1521899" 846
"1522181" 919
"1522180" 920
"1522233" 921
"1522209" 948
"1521590" 1078
"1521724" 1095
"1522098" 1141
"1522179" 1143
"1521723" 1170
"1526174" 1242
"1523377" 1257
unknown_column INFO 7

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.
"agency.txt" "ObjectId" 8
"calendar.txt" "ObjectId" 11
"routes.txt" "ObjectId" 10
"shapes.txt" "ObjectId" 6
"stops.txt" "ObjectId" 13
"stop_times.txt" "ObjectId" 11
"trips.txt" "ObjectId" 11
unsorted_stop_times INFO 3085

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 3085 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"1522086" 24591 24714
"1522084" 24590 24901
"1525110" 48109 48259
"1522085" 24552 24801
"1522088" 24502 24753
"1522089" 24539 24629
"1525113" 48098 48308
"1522082" 24364 24860
"1522080" 24147 24434
"1522081" 24304 24451
"1526455" 60669 61012
"1526456" 61016 61043
"1522095" 24969 25104
"1526458" 60905 61061
"1522099" 24102 24203
"1526453" 60406 60634
"1526454" 60450 60668
"1522090" 24630 24814
"1522093" 24693 25029
"1522094" 24952 25052
"1522091" 24592 24851
"1522064" 23663 23950
"1522065" 23856 23971
"1522062" 23404 23723
"1522063" 23402 23730
"1522069" 23869 24028
"1522066" 23802 24101
"1523398" 34702 34854
"1522060" 23352 23611
"1522075" 24151 24357
"1522076" 24254 24426
"1522074" 23793 24232
"1522079" 24154 24501
"1525103" 48052 48152
"1522078" 24297 24482
"1522071" 23853 24073
"1522072" 23752 24004
"1522070" 23855 24050
"1526481" 62106 62126
"1526499" 86531 86725
"1526495" 86091 86186
"1526497" 86533 86751
"1525169" 95802 96051
"1526498" 86674 86712
"1526491" 86312 86411
"1526492" 86182 86351
"1526493" 86356 86412
"1526494" 86064 86424
"1525163" 95948 96005
"1526490" 86122 86261