GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T18:01:52Z,
for the dataset file:///shared/passio3-com-olean-area-transit-system-1.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:
2026-01-21
Feed End Date:
2026-02-21

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 6
  • Shapes: 6
  • Stops: 59
  • Trips: 48

Specification Compliance report

98 notices reported (0 errors, 98 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 85

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 85 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`.
"20926" 3273 20.08 8 3272 20.08 7
"20926" 3322 975.8 57 3321 975.8 56
"20926" 3323 975.8 58 3322 975.8 57
"20926" 3362 1341.39 97 3361 1341.39 96
"20926" 3400 1699.94 135 3399 1699.94 134
"20926" 3405 1783.64 140 3404 1783.64 139
"20926" 3424 2075.55 159 3423 2075.55 158
"20926" 3443 2467.54 178 3442 2467.54 177
"20926" 3445 2535.47 180 3444 2535.47 179
"20926" 3446 2535.47 181 3445 2535.47 180
"20926" 3501 3910.24 236 3500 3910.24 235
"20926" 3524 4246.39 259 3523 4246.39 258
"20926" 3557 5045.5 292 3556 5045.5 291
"20926" 3558 5045.5 293 3557 5045.5 292
"20926" 3621 6268.97 356 3620 6268.97 355
"20926" 3631 6436.08 366 3630 6436.08 365
"20926" 3651 7323.81 386 3650 7323.81 385
"20926" 3655 7487.84 390 3654 7487.84 389
"20926" 3677 8608.15 412 3676 8608.15 411
"20926" 3702 9649.81 437 3701 9649.81 436
"20926" 3703 9649.81 438 3702 9649.81 437
"20926" 3704 9649.81 439 3703 9649.81 438
"20926" 3705 9649.81 440 3704 9649.81 439
"20925" 2775 125.88 15 2774 125.88 14
"20925" 2814 967.48 54 2813 967.48 53
"20925" 2818 992.28 58 2817 992.28 57
"20925" 2820 996.81 60 2819 996.81 59
"20925" 2821 996.81 61 2820 996.81 60
"20925" 2825 1011.47 65 2824 1011.47 64
"20925" 2828 1048.48 68 2827 1048.48 67
"20925" 2831 1082.22 71 2830 1082.22 70
"20925" 2836 1104.48 76 2835 1104.48 75
"20925" 2847 1200.19 87 2846 1200.19 86
"20925" 2848 1200.19 88 2847 1200.19 87
"20925" 2852 1216.85 92 2851 1216.85 91
"20925" 2855 1272.27 95 2854 1272.27 94
"20925" 2856 1272.27 96 2855 1272.27 95
"20925" 2858 1283.53 98 2857 1283.53 97
"20925" 2873 1360.38 113 2872 1360.38 112
"20925" 2877 1387.7 117 2876 1387.7 116
"20925" 2882 1404.45 122 2881 1404.45 121
"20925" 2885 1459.87 125 2884 1459.87 124
"20925" 2888 1476.54 128 2887 1476.54 127
"20925" 2893 1551.21 133 2892 1551.21 132
"20925" 2896 1560.09 136 2895 1560.09 135
"20925" 2898 1568.91 138 2897 1568.91 137
"20925" 2900 1572.25 140 2899 1572.25 139
"20925" 2902 1585.63 142 2901 1585.63 141
"20925" 2905 1594.45 145 2904 1594.45 144
"20925" 2909 1628.16 149 2908 1628.16 148
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 "20260123" "20260221" "20260222"
mixed_case_recommended_field WARNING 2

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" "OGH/OMG" 35
"stops.txt" "stop_name" "OMG/OGH" 39
stop_too_far_from_shape WARNING 4

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.
12 "51122" "705429" 172 "45546" "3799 S Nine Mile" [42.095347247882074,-78.50295763708989] 469.4291304268043
12 "51122" "705429" 188 "45620" "SNI Comm Ctr" [42.15280757727563,-78.76499907609708] 158.05055656235723
12 "51122" "705429" 190 "45610" "SA Admin Bldg" [42.15730353688723,-78.75336180024969] 100.34756764903229
2 "51117" "705412" 10 "45576" "Garden Apartments" [42.077439,-78.470174] 742.4506542489231
stops_match_shape_out_of_order WARNING 6

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.
6 "51117" "705416" 71 "45564" "Cranberry Court" [42.081309000000005,-78.46896] 70 "45630" "Walmart" [42.079025780965495,-78.46941964623788]
8 "51117" "705418" 110 "45630" "Walmart" [42.079025780965495,-78.46941964623788] 109 "159420" "Subcon" [42.082466999999994,-78.448188]
11 "51117" "710785" 160 "45562" "Country Fair" [42.078023772949315,-78.42003330447737] 159 "159420" "Subcon" [42.082466999999994,-78.448188]
16 "51535" "710011" 390 "45622" "Sullivans Hollow" [42.14740326956338,-78.65810264349261] 389 "45548" "53 Linden" [42.167306543587415,-78.69449686548104]
20 "51589" "710794" 521 "45574" "Francis Hall" [42.075584969658706,-78.47741499049756] 520 "45626" "Townhouse III" [42.077352115568594,-78.4750407991534]
29 "51589" "710803" 602 "45574" "Francis Hall" [42.075584969658706,-78.47741499049756] 601 "45626" "Townhouse III" [42.077352115568594,-78.4750407991534]