hyderabad-tgsrtc-bus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T16:16:28Z,
for the dataset file:///shared/hyderabad-tgsrtc-bus_f9657ae3.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Open Data Telangana
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-02-01
Feed End Date:
2031-02-01

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 1031
  • Shapes: 0
  • Stops: 5028
  • Trips: 44892

Specification Compliance report

45392 notices reported (0 errors, 45391 warnings, 1 infos)

Notice Code Severity Total
fast_travel_between_consecutive_stops WARNING 115

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

Only the first 50 of 115 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
23789 "41808412" "524" 949.055863150569 118.36835626516819 627377 2 "wogU2xCY" "Narayanagiri X Road" "16:56:00" 627378 3 "DQIWkyuz" "Mile Stone" "17:03:29"
23789 "41808412" "524" 477.1917565861583 119.29793914653958 627378 3 "DQIWkyuz" "Mile Stone" "17:03:29" 627379 4 "Lklu3I5q" "Pochampally" "17:18:29"
2057 "41824462" "219" 159.60756818057737 2.748797007554388 65145 1 "UCQMGasG" "Shankarpally Bus Station" "08:25:00" 65146 2 "AZAndWqE" "Sangareddy X Roads" "08:26:02"
44732 "41846431" "546" 577.5104546850022 54.061395341346035 1129224 3 "5WUIxd14" "Rusthapur" "10:02:00" 1129225 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "10:07:37"
44732 "41846431" "546" 317.1039516205315 56.285951412644344 1129225 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "10:07:37" 1129226 5 "Eb5Beiyz" "Palle Pahad-M Turkapalle" "10:18:16"
44732 "41846431" "546" 159.8614003578586 37.83386475135987 1129227 6 "xQr2EqgK" "Pallepahad-Bhongir" "10:29:07" 1129228 7 "08XTeKaq" "Gollaguda" "10:43:19"
44732 "41846431" "546" 319.5706185316632 142.3864644791077 1129228 7 "08XTeKaq" "Gollaguda" "10:43:19" 1129229 8 "DB3FwFXW" "Ramoji Tanda X Road" "11:10:03"
44732 "41846431" "546" 273.39213565530446 198.96872094913826 1129229 8 "DB3FwFXW" "Ramoji Tanda X Road" "11:10:03" 1129230 9 "BvCdGGJa" "Dharmaram-Mnty" "11:53:43"
44732 "41846431" "546" 154.84036039264603 145.42090513542675 1129230 9 "BvCdGGJa" "Dharmaram-Mnty" "11:53:43" 1129231 10 "cMR0V4yz" "Madhapur X Road" "12:50:04"
43345 "41805552" "113M/217" 334.62345911343505 181.90503041249787 1095129 5 "nDq6JPyj" "Beeramguda Kaman" "15:29:00" 1095130 6 "n2v2Idx4" "Ashoknagar" "16:01:37"
43345 "41805552" "113M/217" 165.54734082618933 173.45682488788503 1095130 6 "n2v2Idx4" "Ashoknagar" "16:01:37" 1095131 7 "pDqOfr7l" "Jyothi Nagar" "17:04:29"
23815 "41802264" "524" 1287.7750945625817 162.7604633405485 627944 1 "Lklu3I5q" "Pochampally" "15:55:00" 627945 2 "1VmCu0MF" "Jalalpur-Narayanpet" "16:02:35"
23815 "41802264" "524" 634.1092856815026 158.35117995213076 627945 2 "1VmCu0MF" "Jalalpur-Narayanpet" "16:02:35" 627946 3 "wogU2xCY" "Narayanagiri X Road" "16:17:34"
44735 "41846435" "546" 465.6005340403008 54.061395341346035 1129295 3 "5WUIxd14" "Rusthapur" "17:52:00" 1129296 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "17:58:58"
44735 "41846435" "546" 255.84523369383794 56.285951412644344 1129296 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "17:58:58" 1129297 5 "Eb5Beiyz" "Palle Pahad-M Turkapalle" "18:12:10"
44735 "41846435" "546" 257.71305788073795 142.3864644791077 1129299 7 "08XTeKaq" "Gollaguda" "18:43:14" 1129300 8 "DB3FwFXW" "Ramoji Tanda X Road" "19:16:23"
44735 "41846435" "546" 220.39612166673777 198.96872094913826 1129300 8 "DB3FwFXW" "Ramoji Tanda X Road" "19:16:23" 1129301 9 "BvCdGGJa" "Dharmaram-Mnty" "20:10:33"
730 "1982735" "219" 451.1032617912674 107.88886344507812 23216 10 "fj8FVMOk" "Jyothi Nagar-Bhel" "14:24:00" 23217 11 "RrLdWCYY" "Mile Stone" "14:38:21"
730 "1982735" "219" 234.35984831243758 108.58672971809608 23217 11 "RrLdWCYY" "Mile Stone" "14:38:21" 23218 12 "Nw9MwrDH" "Beeramguda Kaman" "15:06:09"
43346 "41805559" "113M/217" 334.62345911343505 181.90503041249787 1095182 5 "nDq6JPyj" "Beeramguda Kaman" "16:09:00" 1095183 6 "n2v2Idx4" "Ashoknagar" "16:41:37"
43346 "41805559" "113M/217" 165.54734082618933 173.45682488788503 1095183 6 "n2v2Idx4" "Ashoknagar" "16:41:37" 1095184 7 "pDqOfr7l" "Jyothi Nagar" "17:44:29"
43330 "41805554" "113M/217" 290.78956904306943 181.90503041249787 1094316 5 "nDq6JPyj" "Beeramguda Kaman" "19:59:00" 1094317 6 "n2v2Idx4" "Ashoknagar" "20:36:32"
2079 "882720" "219" 189.5557676534268 43.33455466076952 65608 3 "UyZDBKX5" "Miyapur" "05:57:00" 65609 4 "Obcbrjfd" "Gangaram" "06:10:43"
43340 "41822008" "113M/217" 334.62345911343505 181.90503041249787 1094864 5 "nDq6JPyj" "Beeramguda Kaman" "13:09:00" 1094865 6 "n2v2Idx4" "Ashoknagar" "13:41:37"
43340 "41822008" "113M/217" 165.54734082618933 173.45682488788503 1094865 6 "n2v2Idx4" "Ashoknagar" "13:41:37" 1094866 7 "pDqOfr7l" "Jyothi Nagar" "14:44:29"
22379 "1115777" "72H" 392.09770397737685 145.72964664492508 595014 2 "WPvHzcUP" "Saroor Nagar" "09:11:00" 595015 3 "lysFc3vc" "Mile Stone" "09:33:18"
22379 "1115777" "72H" 198.52800508655767 147.35189710868946 595015 3 "lysFc3vc" "Mile Stone" "09:33:18" 595016 4 "j5XvbmcP" "Jail Saidabad" "10:17:50"
43333 "41755861" "113M/217" 334.62345911343505 181.90503041249787 1094493 5 "nDq6JPyj" "Beeramguda Kaman" "08:14:00" 1094494 6 "n2v2Idx4" "Ashoknagar" "08:46:37"
43333 "41755861" "113M/217" 165.54734082618933 173.45682488788503 1094494 6 "n2v2Idx4" "Ashoknagar" "08:46:37" 1094495 7 "pDqOfr7l" "Jyothi Nagar" "09:49:29"
23785 "1116962" "524" 949.055863150569 118.36835626516819 627361 2 "wogU2xCY" "Narayanagiri X Road" "07:56:00" 627362 3 "DQIWkyuz" "Mile Stone" "08:03:29"
23785 "1116962" "524" 477.1917565861583 119.29793914653958 627362 3 "DQIWkyuz" "Mile Stone" "08:03:29" 627363 4 "Lklu3I5q" "Pochampally" "08:18:29"
43368 "41755395" "113M/217" 309.91865096308203 181.90503041249787 1096331 5 "nDq6JPyj" "Beeramguda Kaman" "32:29:00" 1096332 6 "n2v2Idx4" "Ashoknagar" "33:04:13"
43368 "41755395" "113M/217" 153.31317692030106 173.45682488788503 1096332 6 "n2v2Idx4" "Ashoknagar" "33:04:13" 1096333 7 "pDqOfr7l" "Jyothi Nagar" "34:12:06"
10896 "41774298" "300" 572.7193495112133 154.95240178442273 304693 3 "PhiNQicX" "Bhel Church" "18:52:00" 304694 4 "RQuX2cGb" "Lingam Palle-Nuthankal" "19:08:14"
10896 "41774298" "300" 289.27100626519155 154.84034140917336 304694 4 "RQuX2cGb" "Lingam Palle-Nuthankal" "19:08:14" 304695 5 "FGOQybzG" "Nallagandla" "19:40:21"
43336 "41802115" "113M/217" 334.62345911343505 181.90503041249787 1094652 5 "nDq6JPyj" "Beeramguda Kaman" "09:44:00" 1094653 6 "n2v2Idx4" "Ashoknagar" "10:16:37"
43336 "41802115" "113M/217" 165.54734082618933 173.45682488788503 1094653 6 "n2v2Idx4" "Ashoknagar" "10:16:37" 1094654 7 "pDqOfr7l" "Jyothi Nagar" "11:19:29"
11232 "1116749" "218D" 428.016052182759 16.763962043824726 313943 1 "stX5GY7u" "Bairagiguda" "08:55:00" 313944 2 "WPvHzcUP" "Saroor Nagar" "08:57:21"
11232 "1116749" "218D" 361.4060477970865 146.36944935782003 313947 5 "2taLh1Y1" "Saraswathi Nagar" "09:08:53" 313948 6 "lysFc3vc" "Mile Stone" "09:33:11"
11232 "1116749" "218D" 198.30535685655403 147.35189710868946 313948 6 "lysFc3vc" "Mile Stone" "09:33:11" 313949 7 "j5XvbmcP" "Jail Saidabad" "10:17:46"
43373 "41822019" "113M/217" 309.91865096308203 181.90503041249787 1096606 5 "nDq6JPyj" "Beeramguda Kaman" "19:04:00" 1096607 6 "n2v2Idx4" "Ashoknagar" "19:39:13"
43373 "41822019" "113M/217" 153.31317692030106 173.45682488788503 1096607 6 "n2v2Idx4" "Ashoknagar" "19:39:13" 1096608 7 "pDqOfr7l" "Jyothi Nagar" "20:47:06"
1699 "991038" "219" 175.76629361489356 152.52608368136873 52051 1 "RQuX2cGb" "Lingam Palle-Nuthankal" "06:55:00" 52052 2 "Md3ixzA9" "Gangaram" "07:47:04"
26427 "1156898" "503" 156.52625933271025 6.217570856827102 694750 1 "9NaaZczG" "Kollur-Shankarpally" "16:45:00" 694751 2 "g8HAkAe2" "Kondakal" "16:47:23"
43374 "41831996" "113M/217" 309.91865096308203 181.90503041249787 1096661 5 "nDq6JPyj" "Beeramguda Kaman" "19:34:00" 1096662 6 "n2v2Idx4" "Ashoknagar" "20:09:13"
43374 "41831996" "113M/217" 153.31317692030106 173.45682488788503 1096662 6 "n2v2Idx4" "Ashoknagar" "20:09:13" 1096663 7 "pDqOfr7l" "Jyothi Nagar" "21:17:06"
21330 "41806053" "412" 497.42723144979453 12.988377710077968 572441 1 "meRPzYZe" "Ibrahimpatnam" "16:05:00" 572442 2 "9Wj6lb1G" "Wonderla" "16:06:34"
21330 "41806053" "412" 266.0639238632775 14.411795875927535 572442 2 "9Wj6lb1G" "Wonderla" "16:06:34" 572443 3 "kp2atLnL" "Lb Nagar" "16:09:49"
40234 "41742269" "216M/P" 189.5557676534268 43.33455466076952 1019627 3 "UyZDBKX5" "Miyapur" "15:17:00" 1019628 4 "Obcbrjfd" "Gangaram" "15:30:43"
26422 "41810286" "503" 156.52625933271025 6.217570856827102 694705 1 "9NaaZczG" "Kollur-Shankarpally" "08:40:00" 694706 2 "g8HAkAe2" "Kondakal" "08:42:23"
fast_travel_between_far_stops WARNING 56

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

You can see more about this notice here.

Only the first 50 of 56 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
23789 "41808412" "524" 949.055863150569 118.36835626516819 627377 2 "wogU2xCY" "Narayanagiri X Road" "16:56:00" 627378 3 "DQIWkyuz" "Mile Stone" "17:03:29"
44732 "41846431" "546" 577.5104546850022 54.061395341346035 1129224 3 "5WUIxd14" "Rusthapur" "10:02:00" 1129225 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "10:07:37"
43345 "41805552" "113M/217" 334.62345911343505 181.90503041249787 1095129 5 "nDq6JPyj" "Beeramguda Kaman" "15:29:00" 1095130 6 "n2v2Idx4" "Ashoknagar" "16:01:37"
23815 "41802264" "524" 1287.7750945625817 162.7604633405485 627944 1 "Lklu3I5q" "Pochampally" "15:55:00" 627945 2 "1VmCu0MF" "Jalalpur-Narayanpet" "16:02:35"
44735 "41846435" "546" 465.6005340403008 54.061395341346035 1129295 3 "5WUIxd14" "Rusthapur" "17:52:00" 1129296 4 "NNFvIWup" "Pedda Thanda-Devaruppula" "17:58:58"
730 "1982735" "219" 451.1032617912674 107.88886344507812 23216 10 "fj8FVMOk" "Jyothi Nagar-Bhel" "14:24:00" 23217 11 "RrLdWCYY" "Mile Stone" "14:38:21"
43346 "41805559" "113M/217" 334.62345911343505 181.90503041249787 1095182 5 "nDq6JPyj" "Beeramguda Kaman" "16:09:00" 1095183 6 "n2v2Idx4" "Ashoknagar" "16:41:37"
43330 "41805554" "113M/217" 290.78956904306943 181.90503041249787 1094316 5 "nDq6JPyj" "Beeramguda Kaman" "19:59:00" 1094317 6 "n2v2Idx4" "Ashoknagar" "20:36:32"
2079 "882720" "219" 189.5557676534268 43.33455466076952 65608 3 "UyZDBKX5" "Miyapur" "05:57:00" 65609 4 "Obcbrjfd" "Gangaram" "06:10:43"
43340 "41822008" "113M/217" 334.62345911343505 181.90503041249787 1094864 5 "nDq6JPyj" "Beeramguda Kaman" "13:09:00" 1094865 6 "n2v2Idx4" "Ashoknagar" "13:41:37"
22379 "1115777" "72H" 392.09770397737685 145.72964664492508 595014 2 "WPvHzcUP" "Saroor Nagar" "09:11:00" 595015 3 "lysFc3vc" "Mile Stone" "09:33:18"
43333 "41755861" "113M/217" 334.62345911343505 181.90503041249787 1094493 5 "nDq6JPyj" "Beeramguda Kaman" "08:14:00" 1094494 6 "n2v2Idx4" "Ashoknagar" "08:46:37"
23785 "1116962" "524" 949.055863150569 118.36835626516819 627361 2 "wogU2xCY" "Narayanagiri X Road" "07:56:00" 627362 3 "DQIWkyuz" "Mile Stone" "08:03:29"
43368 "41755395" "113M/217" 309.91865096308203 181.90503041249787 1096331 5 "nDq6JPyj" "Beeramguda Kaman" "32:29:00" 1096332 6 "n2v2Idx4" "Ashoknagar" "33:04:13"
10896 "41774298" "300" 572.7193495112133 154.95240178442273 304693 3 "PhiNQicX" "Bhel Church" "18:52:00" 304694 4 "RQuX2cGb" "Lingam Palle-Nuthankal" "19:08:14"
43336 "41802115" "113M/217" 334.62345911343505 181.90503041249787 1094652 5 "nDq6JPyj" "Beeramguda Kaman" "09:44:00" 1094653 6 "n2v2Idx4" "Ashoknagar" "10:16:37"
11232 "1116749" "218D" 428.016052182759 16.763962043824726 313943 1 "stX5GY7u" "Bairagiguda" "08:55:00" 313944 2 "WPvHzcUP" "Saroor Nagar" "08:57:21"
43373 "41822019" "113M/217" 309.91865096308203 181.90503041249787 1096606 5 "nDq6JPyj" "Beeramguda Kaman" "19:04:00" 1096607 6 "n2v2Idx4" "Ashoknagar" "19:39:13"
1699 "991038" "219" 175.76629361489356 152.52608368136873 52051 1 "RQuX2cGb" "Lingam Palle-Nuthankal" "06:55:00" 52052 2 "Md3ixzA9" "Gangaram" "07:47:04"
43374 "41831996" "113M/217" 309.91865096308203 181.90503041249787 1096661 5 "nDq6JPyj" "Beeramguda Kaman" "19:34:00" 1096662 6 "n2v2Idx4" "Ashoknagar" "20:09:13"
21330 "41806053" "412" 497.42723144979453 12.988377710077968 572441 1 "meRPzYZe" "Ibrahimpatnam" "16:05:00" 572442 2 "9Wj6lb1G" "Wonderla" "16:06:34"
40234 "41742269" "216M/P" 189.5557676534268 43.33455466076952 1019627 3 "UyZDBKX5" "Miyapur" "15:17:00" 1019628 4 "Obcbrjfd" "Gangaram" "15:30:43"
43341 "41822011" "113M/217" 334.62345911343505 181.90503041249787 1094917 5 "nDq6JPyj" "Beeramguda Kaman" "13:39:00" 1094918 6 "n2v2Idx4" "Ashoknagar" "14:11:37"
22337 "1115814" "72H" 473.01120991568996 12.219456256155324 593976 1 "PAAUi1nF" "High Court Colony-Dsnr" "16:30:00" 593977 2 "Ij8M0H6H" "Afzalgunj" "16:31:33"
19014 "1211602" "540" 232.62794375494465 70.24071523934023 511708 2 "qsEsYkND" "Sirsinagandla Gutta-Vangoor" "16:31:07" 511709 3 "KzZMbkV1" "Appreddypally" "16:49:14"
40232 "41737895" "216M/P" 189.5557676534268 43.33455466076952 1019603 3 "UyZDBKX5" "Miyapur" "05:12:00" 1019604 4 "Obcbrjfd" "Gangaram" "05:25:43"
43367 "41805563" "113M/217" 309.91865096308203 181.90503041249787 1096276 5 "nDq6JPyj" "Beeramguda Kaman" "07:59:00" 1096277 6 "n2v2Idx4" "Ashoknagar" "08:34:13"
23814 "41802262" "524" 1287.7750945625817 162.7604633405485 627940 1 "Lklu3I5q" "Pochampally" "15:15:00" 627941 2 "1VmCu0MF" "Jalalpur-Narayanpet" "15:22:35"
43372 "41822016" "113M/217" 309.91865096308203 181.90503041249787 1096551 5 "nDq6JPyj" "Beeramguda Kaman" "18:34:00" 1096552 6 "n2v2Idx4" "Ashoknagar" "19:09:13"
23788 "41802265" "524" 949.055863150569 118.36835626516819 627373 2 "wogU2xCY" "Narayanagiri X Road" "16:16:00" 627374 3 "DQIWkyuz" "Mile Stone" "16:23:29"
43370 "41822010" "113M/217" 309.91865096308203 181.90503041249787 1096441 5 "nDq6JPyj" "Beeramguda Kaman" "17:34:00" 1096442 6 "n2v2Idx4" "Ashoknagar" "18:09:13"
43331 "41805561" "113M/217" 290.78956904306943 181.90503041249787 1094375 5 "nDq6JPyj" "Beeramguda Kaman" "20:34:00" 1094376 6 "n2v2Idx4" "Ashoknagar" "21:11:32"
43338 "41755961" "113M/217" 334.62345911343505 181.90503041249787 1094758 5 "nDq6JPyj" "Beeramguda Kaman" "10:44:00" 1094759 6 "n2v2Idx4" "Ashoknagar" "11:16:37"
43366 "41805556" "113M/217" 309.91865096308203 181.90503041249787 1096221 5 "nDq6JPyj" "Beeramguda Kaman" "07:29:00" 1096222 6 "n2v2Idx4" "Ashoknagar" "08:04:13"
43332 "41755393" "113M/217" 290.78956904306943 181.90503041249787 1094434 5 "nDq6JPyj" "Beeramguda Kaman" "21:04:00" 1094435 6 "n2v2Idx4" "Ashoknagar" "21:41:32"
43334 "41802094" "113M/217" 334.62345911343505 181.90503041249787 1094546 5 "nDq6JPyj" "Beeramguda Kaman" "08:44:00" 1094547 6 "n2v2Idx4" "Ashoknagar" "09:16:37"
43347 "41755391" "113M/217" 334.62345911343505 181.90503041249787 1095235 5 "nDq6JPyj" "Beeramguda Kaman" "16:39:00" 1095236 6 "n2v2Idx4" "Ashoknagar" "17:11:37"
43371 "41822013" "113M/217" 309.91865096308203 181.90503041249787 1096496 5 "nDq6JPyj" "Beeramguda Kaman" "18:04:00" 1096497 6 "n2v2Idx4" "Ashoknagar" "18:39:13"
22546 "862004" "72H" 1809.057682488725 145.72964664492508 599468 7 "WPvHzcUP" "Saroor Nagar" "10:01:00" 599469 8 "lysFc3vc" "Mile Stone" "10:05:50"
43339 "41831990" "113M/217" 334.62345911343505 181.90503041249787 1094811 5 "nDq6JPyj" "Beeramguda Kaman" "12:39:00" 1094812 6 "n2v2Idx4" "Ashoknagar" "13:11:37"
43337 "41802147" "113M/217" 334.62345911343505 181.90503041249787 1094705 5 "nDq6JPyj" "Beeramguda Kaman" "10:14:00" 1094706 6 "n2v2Idx4" "Ashoknagar" "10:46:37"
23812 "41808182" "524" 1287.7750945625817 162.7604633405485 627932 1 "Lklu3I5q" "Pochampally" "08:15:00" 627933 2 "1VmCu0MF" "Jalalpur-Narayanpet" "08:22:35"
43342 "41822063" "113M/217" 334.62345911343505 181.90503041249787 1094970 5 "nDq6JPyj" "Beeramguda Kaman" "14:09:00" 1094971 6 "n2v2Idx4" "Ashoknagar" "14:41:37"
1700 "41778046" "219" 243.39268672558842 152.52608368136873 52077 1 "RQuX2cGb" "Lingam Palle-Nuthankal" "15:20:00" 52078 2 "Md3ixzA9" "Gangaram" "15:57:36"
23813 "41808183" "524" 1287.7750945625817 162.7604633405485 627936 1 "Lklu3I5q" "Pochampally" "08:55:00" 627937 2 "1VmCu0MF" "Jalalpur-Narayanpet" "09:02:35"
11131 "41754715" "218D" 444.3438638601936 12.219456256155324 309523 1 "PAAUi1nF" "High Court Colony-Dsnr" "16:15:00" 309524 2 "Ij8M0H6H" "Afzalgunj" "16:16:39"
23787 "41802263" "524" 949.055863150569 118.36835626516819 627369 2 "wogU2xCY" "Narayanagiri X Road" "15:36:00" 627370 3 "DQIWkyuz" "Mile Stone" "15:43:29"
43335 "41802107" "113M/217" 334.62345911343505 181.90503041249787 1094599 5 "nDq6JPyj" "Beeramguda Kaman" "09:14:00" 1094600 6 "n2v2Idx4" "Ashoknagar" "09:46:37"
43369 "41831992" "113M/217" 309.91865096308203 181.90503041249787 1096386 5 "nDq6JPyj" "Beeramguda Kaman" "17:04:00" 1096387 6 "n2v2Idx4" "Ashoknagar" "17:39:13"
23786 "41808184" "524" 949.055863150569 118.36835626516819 627365 2 "wogU2xCY" "Narayanagiri X Road" "08:36:00" 627366 3 "DQIWkyuz" "Mile Stone" "08:43:29"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
mixed_case_recommended_field WARNING 44859

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 44859 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" "100SS" 13
"routes.txt" "route_long_name" "107JL" 33
"routes.txt" "route_long_name" "107JS" 34
"routes.txt" "route_long_name" "107VG" 38
"routes.txt" "route_long_name" "107VL" 39
"routes.txt" "route_long_name" "107VR" 40
"routes.txt" "route_long_name" "107VS" 42
"routes.txt" "route_long_name" "10HW" 47
"routes.txt" "route_long_name" "10JB" 48
"routes.txt" "route_long_name" "10JP" 50
"routes.txt" "route_long_name" "10KH" 52
"routes.txt" "route_long_name" "10KJ" 54
"routes.txt" "route_long_name" "10KM" 55
"routes.txt" "route_long_name" "10KM/224G" 56
"routes.txt" "route_long_name" "10MN" 58
"routes.txt" "route_long_name" "10YF" 62
"routes.txt" "route_long_name" "113F/KP" 64
"routes.txt" "route_long_name" "113KP" 69
"routes.txt" "route_long_name" "113Z/IM" 79
"routes.txt" "route_long_name" "115RR" 85
"routes.txt" "route_long_name" "127KL" 106
"routes.txt" "route_long_name" "16AB/5K" 146
"routes.txt" "route_long_name" "16AD/5K" 147
"routes.txt" "route_long_name" "16AK" 148
"routes.txt" "route_long_name" "16CD/5K" 154
"routes.txt" "route_long_name" "16CR" 156
"routes.txt" "route_long_name" "16ES" 160
"routes.txt" "route_long_name" "16HP" 163
"routes.txt" "route_long_name" "16NY" 164
"routes.txt" "route_long_name" "171BK" 172
"routes.txt" "route_long_name" "171DB" 174
"routes.txt" "route_long_name" "171JK" 175
"routes.txt" "route_long_name" "171 JY" 176
"routes.txt" "route_long_name" "171KJ" 178
"routes.txt" "route_long_name" "171KP" 179
"routes.txt" "route_long_name" "171SM" 181
"routes.txt" "route_long_name" "17DS" 185
"routes.txt" "route_long_name" "17HB" 191
"routes.txt" "route_long_name" "17HC" 192
"routes.txt" "route_long_name" "17H/ECIL" 193
"routes.txt" "route_long_name" "17HN" 194
"routes.txt" "route_long_name" "17HN/290" 195
"routes.txt" "route_long_name" "17SC" 197
"routes.txt" "route_long_name" "183MA" 203
"routes.txt" "route_long_name" "189MQ" 219
"routes.txt" "route_long_name" "189QM" 220
"routes.txt" "route_long_name" "18CR" 226
"routes.txt" "route_long_name" "18CR/251" 227
"routes.txt" "route_long_name" "195JW" 237
"routes.txt" "route_long_name" "195KG" 238
same_name_and_description_for_stop WARNING 360

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

Only the first 50 of 360 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
2 "RgqMpbyP" "CHARMINAR"
47 "NUmq3A4e" "MEHDIPATNAM"
187 "BJCimp4m" "MEHDIPATNAM"
211 "UCQMGasG" "SHANKARPALLY Bus Station"
250 "kQF1TB5X" "VANASTHALIPURAM Complex"
300 "Dg7VAzf3" "TELEPHONE Bhavan"
321 "UBeedL9T" "GITAM UNIVERSITY"
366 "LbLMZ7ql" "CHILKUR QUARTERS twd Azizs nagar"
387 "II7bciLP" "ICRISAT"
388 "enXMW3fY" "PATANCHERUVU"
521 "AZ9WhQ64" "KACHIGUDA Railway Station"
600 "OkZJgFnt" "CBS"
609 "V75SK5uQ" "NGOS Colony Bus Stop"
650 "EZfYLnK0" "CHANDRAYANGUTTA"
731 "1MNtzQta" "NARSING X ROAD twd Gachibowli"
735 "Zys2ENKp" "VATTEPALLY"
760 "MjoFz8zE" "MALAKPET Government Hospital twd Koti"
761 "xtzkxEUT" "MALAKPET Sohail Hotel twd Is Sadan"
869 "qCYClJlG" "RAMANTHAPUR Public School"
1025 "iLqH7CzM" "BANDLAGUDA Bus Depot"
1080 "TI54pJ8G" "IG MINT"
1104 "lmNrF1fn" "BARKATPURA PF Office"
1161 "KKCB9GoD" "MARRIGUDA X Road twd Mall Bus station"
1180 "PgRBiaoC" "MARRIGUDA X Road twd Hyderabad"
1208 "5acrFhXn" "SATYA Nagar"
1214 "ASEPtNq8" "TELEPHONE Bhavan"
1277 "V7kdAGRo" "ANAJPUR Pati"
1322 "j5XvbmcP" "JAIL SAIDABAD"
1323 "XL6Fir58" "DABIRPURA DAEWAZA"
1324 "2taLh1Y1" "SARASWATHI NAGAR"
1326 "stX5GY7u" "BAIRAGIGUDA"
1372 "ELFLyHem" "MGBS"
1373 "k2jPxrLa" "REVAN Palle"
1379 "wobPN83B" "MM Pahadi"
1408 "al3vmX3N" "NPPTI"
1414 "BcGPQmhM" "RAMKRISHNAPURAM"
1464 "cv7asuHO" "CITY CIVIL COURT"
1469 "9VtkSrB1" "RAILWAY BRIDGE twd Lalitabagh"
1475 "016SpKiY" "SBI COLONY twd SaidabadColony"
1476 "OxxSW7Ka" "SAIDABAD COLONY"
1495 "459G0WxM" "KEDIA Biscuit Factory"
1510 "RZ6zEeHB" "KAMAN twd Sai balaji homes"
1512 "ZCWAa3mM" "KAMAN twd Badangpet"
1514 "X65S57TD" "GOLCONDA FORT Bus Station"
1517 "9Wj6lb1G" "WONDERLA"
1534 "04mJO1AJ" "TIMES SCHOOL twd Sharadadhamam"
1555 "41HAB087" "KUBERAPURI twd Abdullapur mettu"
1561 "EfDqrG4w" "OMER Colony"
1564 "3IjVrdPo" "RGI AIRPORT"
1636 "t3pIlfPs" "JULUR Temple"
service_extends_far_in_the_future INFO 1

service_extends_far_in_the_future

A service end date is more than 2 years in the future.

You can see more about this notice here.

serviceId (?) The service_id that ends far in the future. serviceWindowEndDate (?) The end date of the service (YYYY-MM-DD format).
"MTWTFSS" "2031-02-01"