GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-04T22:22:49Z,
for the dataset file:///shared/harrisonburg-hdpt_44ad612e.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Passio Technologies
Publisher URL:
https://passiotech.com
Feed Email:
support@passiotech.com
Feed Language:
English
Feed Start Date:
2026-05-03
Feed End Date:
2026-06-03

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. trips.txt

Counts


  • Agencies: 1
  • Blocks: 58
  • Routes: 38
  • Shapes: 38
  • Stops: 273
  • Trips: 843

Specification Compliance report

348 notices reported (0 errors, 348 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 336

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

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 the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 336 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"72337" 22167 2322.64 75 22166 2322.64 74
"72337" 22329 5671.31 237 22328 5671.31 236
"72337" 22331 5674.13 239 22330 5674.13 238
"72337" 22335 5679.05 243 22334 5679.05 242
"72337" 22354 5765.38 262 22353 5765.38 261
"72337" 22355 5765.38 263 22354 5765.38 262
"72337" 22356 5765.38 264 22355 5765.38 263
"72337" 22359 5770.56 267 22358 5770.56 266
"72337" 22388 6255.67 296 22387 6255.67 295
"72337" 22390 6264.59 298 22389 6264.59 297
"72337" 22392 6276.28 300 22391 6276.28 299
"72337" 22738 17833.71 646 22737 17833.71 645
"37494" 17910 335.4 30 17909 335.4 29
"37494" 17915 369.16 35 17914 369.16 34
"37494" 17917 377.95 37 17916 377.95 36
"37494" 17957 758.95 77 17956 758.95 76
"37494" 17987 1155.8 107 17986 1155.8 106
"37494" 18037 2260.42 157 18036 2260.42 156
"37494" 18157 5406.01 277 18156 5406.01 276
"37494" 18172 5538.3 292 18171 5538.3 291
"37494" 18186 5782.02 306 18185 5782.02 305
"72338" 24490 18139.23 774 24489 18139.23 773
"37495" 17152 335.4 30 17151 335.4 29
"37495" 17157 369.16 35 17156 369.16 34
"37495" 17159 377.95 37 17158 377.95 36
"37495" 17199 758.95 77 17198 758.95 76
"37495" 17229 1155.8 107 17228 1155.8 106
"37495" 17279 2260.42 157 17278 2260.42 156
"37495" 17399 5406.01 277 17398 5406.01 276
"37495" 17414 5538.3 292 17413 5538.3 291
"37495" 17428 5782.02 306 17427 5782.02 305
"72335" 19811 14188.71 718 19810 14188.71 717
"72336" 20639 31.87 3 20638 31.87 2
"72336" 20885 7371.35 249 20884 7371.35 248
"72336" 20902 8013.21 266 20901 8013.21 265
"72336" 21017 11782.38 381 21016 11782.38 380
"72336" 21018 11782.38 382 21017 11782.38 381
"72336" 21019 11782.38 383 21018 11782.38 382
"72336" 21020 11782.38 384 21019 11782.38 383
"72336" 21021 11782.38 385 21020 11782.38 384
"72336" 21022 11782.38 386 21021 11782.38 385
"72336" 21023 11782.38 387 21022 11782.38 386
"72336" 21024 11782.38 388 21023 11782.38 387
"72336" 21025 11782.38 389 21024 11782.38 388
"72336" 21026 11782.38 390 21025 11782.38 389
"72336" 21027 11782.38 391 21026 11782.38 390
"72336" 21113 13652.93 477 21112 13652.93 476
"72336" 21208 15523.09 572 21207 15523.09 571
"72336" 21255 16571.61 619 21254 16571.61 618
"72336" 21262 16612.65 626 21261 16612.65 625
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.
3 "72332.211998"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. currentDate (?) Current date (YYYYMMDD format). feedEndDate (?) Feed end date (YYYYMMDD format). suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2 "20260504" "20260603" "20260603"
mixed_case_recommended_field WARNING 1

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.
"routes.txt" "route_long_name" "JMU ICS" 13
stop_too_far_from_shape WARNING 9

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.
681 "72336" "1101858" 16149 "88968" "Linda Ln. @ Skyline Middle School" [38.43723,-78.843437] 688.3127552427526
22 "72334" "1101831" 963 "88894" "Peach Grove Ave. @ South View Apartments" [38.41845,-78.86878] 412.19433028610075
22 "72334" "1101831" 964 "88988" "Peach Grove Ave. @ Stone Spring Elementary School" [38.418470000000006,-78.8688] 658.6178404374518
6 "72330" "1101787" 221 "88968" "Linda Ln. @ Skyline Middle School" [38.43723,-78.843437] 688.3127552427526
808 "58973" "840192" 22153 "88894" "Peach Grove Ave. @ South View Apartments" [38.41845,-78.86878] 412.19433028610075
808 "58973" "840192" 22154 "88988" "Peach Grove Ave. @ Stone Spring Elementary School" [38.418470000000006,-78.8688] 658.6178404374518
660 "30904" "402321" 15141 "88968" "Linda Ln. @ Skyline Middle School" [38.43723,-78.843437] 688.3127552427526
829 "72340" "1101935" 22846 "88894" "Peach Grove Ave. @ South View Apartments" [38.41845,-78.86878] 412.19433028610075
829 "72340" "1101935" 22847 "88988" "Peach Grove Ave. @ Stone Spring Elementary School" [38.418470000000006,-78.8688] 658.6178404374518