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. Only the first 50 of 558 affected records are displayed below. | 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`. |
|---|
| "5487" | "205" | 43105 | 22752.91 | 14 | 43104 | 22752.91 | 13 | | "5488" | "205" | 43143 | 22752.91 | 14 | 43142 | 22752.91 | 13 | | "5492" | "205" | 43295 | 22752.91 | 14 | 43294 | 22752.91 | 13 | | "5493" | "205" | 43333 | 22752.91 | 14 | 43332 | 22752.91 | 13 | | "5494" | "205" | 43371 | 22752.91 | 14 | 43370 | 22752.91 | 13 | | "5495" | "205" | 43409 | 22752.91 | 14 | 43408 | 22752.91 | 13 | | "5496" | "205" | 43447 | 22752.91 | 14 | 43446 | 22752.91 | 13 | | "5497" | "205" | 43485 | 22752.91 | 14 | 43484 | 22752.91 | 13 | | "5498" | "205" | 43523 | 22752.91 | 14 | 43522 | 22752.91 | 13 | | "5499" | "205" | 43561 | 22752.91 | 14 | 43560 | 22752.91 | 13 | | "5490" | "205" | 43219 | 22752.91 | 14 | 43218 | 22752.91 | 13 | | "5491" | "205" | 43257 | 22752.91 | 14 | 43256 | 22752.91 | 13 | | "5489" | "205" | 43181 | 22752.91 | 14 | 43180 | 22752.91 | 13 | | "7200" | "148" | 56303 | 6433.368 | 6 | 56302 | 6433.368 | 5 | | "7202" | "148" | 56327 | 6433.368 | 6 | 56326 | 6433.368 | 5 | | "7201" | "148" | 56315 | 6433.368 | 6 | 56314 | 6433.368 | 5 | | "7204" | "148" | 56351 | 6433.368 | 6 | 56350 | 6433.368 | 5 | | "7203" | "148" | 56339 | 6433.368 | 6 | 56338 | 6433.368 | 5 | | "7211" | "148" | 56435 | 6433.368 | 6 | 56434 | 6433.368 | 5 | | "7210" | "148" | 56423 | 6433.368 | 6 | 56422 | 6433.368 | 5 | | "7213" | "148" | 56459 | 6433.368 | 6 | 56458 | 6433.368 | 5 | | "7212" | "148" | 56447 | 6433.368 | 6 | 56446 | 6433.368 | 5 | | "7215" | "148" | 56483 | 6433.368 | 6 | 56482 | 6433.368 | 5 | | "7214" | "148" | 56471 | 6433.368 | 6 | 56470 | 6433.368 | 5 | | "7206" | "148" | 56375 | 6433.368 | 6 | 56374 | 6433.368 | 5 | | "7205" | "148" | 56363 | 6433.368 | 6 | 56362 | 6433.368 | 5 | | "7208" | "148" | 56399 | 6433.368 | 6 | 56398 | 6433.368 | 5 | | "7207" | "148" | 56387 | 6433.368 | 6 | 56386 | 6433.368 | 5 | | "7209" | "148" | 56411 | 6433.368 | 6 | 56410 | 6433.368 | 5 | | "7220" | "148" | 56543 | 6433.368 | 6 | 56542 | 6433.368 | 5 | | "7222" | "148" | 56567 | 6433.368 | 6 | 56566 | 6433.368 | 5 | | "7221" | "148" | 56555 | 6433.368 | 6 | 56554 | 6433.368 | 5 | | "7224" | "148" | 56591 | 6433.368 | 6 | 56590 | 6433.368 | 5 | | "7223" | "148" | 56579 | 6433.368 | 6 | 56578 | 6433.368 | 5 | | "7226" | "148" | 56615 | 6433.368 | 6 | 56614 | 6433.368 | 5 | | "7225" | "148" | 56603 | 6433.368 | 6 | 56602 | 6433.368 | 5 | | "7217" | "148" | 56507 | 6433.368 | 6 | 56506 | 6433.368 | 5 | | "7216" | "148" | 56495 | 6433.368 | 6 | 56494 | 6433.368 | 5 | | "7219" | "148" | 56531 | 6433.368 | 6 | 56530 | 6433.368 | 5 | | "7218" | "148" | 56519 | 6433.368 | 6 | 56518 | 6433.368 | 5 | | "7231" | "148" | 56675 | 6433.368 | 6 | 56674 | 6433.368 | 5 | | "7230" | "148" | 56663 | 6433.368 | 6 | 56662 | 6433.368 | 5 | | "7233" | "148" | 56699 | 6433.368 | 6 | 56698 | 6433.368 | 5 | | "7232" | "148" | 56687 | 6433.368 | 6 | 56686 | 6433.368 | 5 | | "7235" | "148" | 56723 | 6433.368 | 6 | 56722 | 6433.368 | 5 | | "7234" | "148" | 56711 | 6433.368 | 6 | 56710 | 6433.368 | 5 | | "7237" | "148" | 56747 | 6433.368 | 6 | 56746 | 6433.368 | 5 | | "7236" | "148" | 56735 | 6433.368 | 6 | 56734 | 6433.368 | 5 | | "7228" | "148" | 56639 | 6433.368 | 6 | 56638 | 6433.368 | 5 | | "7227" | "148" | 56627 | 6433.368 | 6 | 56626 | 6433.368 | 5 |
| equal_shape_distance_same_coordinates | WARNING | 761 | 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 761 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`. |
|---|
| "shp_1_30" | 4419 | 1202.405 | 3 | 4418 | 1202.405 | 2 | | "shp_1_30" | 4421 | 2480.75 | 5 | 4420 | 2480.75 | 4 | | "shp_1_30" | 4425 | 3314.936 | 9 | 4424 | 3314.936 | 8 | | "shp_1_30" | 4431 | 4300.216 | 15 | 4430 | 4300.216 | 14 | | "shp_1_30" | 4447 | 5571.618 | 31 | 4446 | 5571.618 | 30 | | "shp_1_30" | 4471 | 7050.805 | 55 | 4470 | 7050.805 | 54 | | "shp_1_30" | 4473 | 7784.659 | 57 | 4472 | 7784.659 | 56 | | "shp_1_30" | 4475 | 9026.197 | 59 | 4474 | 9026.197 | 58 | | "shp_1_30" | 4483 | 10235.563 | 67 | 4482 | 10235.563 | 66 | | "shp_1_30" | 4490 | 11759.314 | 74 | 4489 | 11759.314 | 73 | | "shp_1_30" | 4500 | 12810.503 | 84 | 4499 | 12810.503 | 83 | | "shp_1_30" | 4512 | 13746.182 | 96 | 4511 | 13746.182 | 95 | | "shp_1_30" | 4526 | 14897.064 | 110 | 4525 | 14897.064 | 109 | | "shp_1_30" | 4551 | 17251.309 | 135 | 4550 | 17251.309 | 134 | | "shp_1_30" | 4577 | 18996.408 | 161 | 4576 | 18996.408 | 160 | | "shp_1_30" | 4588 | 20063.098 | 172 | 4587 | 20063.098 | 171 | | "shp_1_30" | 4593 | 21000.166 | 177 | 4592 | 21000.166 | 176 | | "shp_1_30" | 4606 | 22392.42 | 190 | 4605 | 22392.42 | 189 | | "shp_1_30" | 4612 | 23489.09 | 196 | 4611 | 23489.09 | 195 | | "shp_1_31" | 5286 | 1111.605 | 3 | 5285 | 1111.605 | 2 | | "shp_1_31" | 5288 | 3889.762 | 5 | 5287 | 3889.762 | 4 | | "shp_1_31" | 5290 | 5400.863 | 7 | 5289 | 5400.863 | 6 | | "shp_1_31" | 5313 | 11451.982 | 30 | 5312 | 11451.982 | 29 | | "shp_1_31" | 5328 | 15669.532 | 45 | 5327 | 15669.532 | 44 | | "shp_1_31" | 5338 | 17091.699 | 55 | 5337 | 17091.699 | 54 | | "shp_1_31" | 5340 | 18458.332 | 57 | 5339 | 18458.332 | 56 | | "shp_1_31" | 5342 | 19104.512 | 59 | 5341 | 19104.512 | 58 | | "shp_1_31" | 5344 | 20278.104 | 61 | 5343 | 20278.104 | 60 | | "shp_1_31" | 5357 | 21561.262 | 74 | 5356 | 21561.262 | 73 | | "shp_1_31" | 5367 | 22650.811 | 84 | 5366 | 22650.811 | 83 | | "shp_1_31" | 5375 | 23967.287 | 92 | 5374 | 23967.287 | 91 | | "shp_1_31" | 5377 | 24794.0 | 94 | 5376 | 24794.0 | 93 | | "shp_1_31" | 5379 | 25536.137 | 96 | 5378 | 25536.137 | 95 | | "shp_1_31" | 5384 | 26774.316 | 101 | 5383 | 26774.316 | 100 | | "shp_1_31" | 5392 | 27998.609 | 109 | 5391 | 27998.609 | 108 | | "shp_1_31" | 5397 | 28827.09 | 114 | 5396 | 28827.09 | 113 | | "shp_1_31" | 5399 | 29357.646 | 116 | 5398 | 29357.646 | 115 | | "shp_1_31" | 5401 | 30939.154 | 118 | 5400 | 30939.154 | 117 | | "shp_1_31" | 5405 | 32082.172 | 122 | 5404 | 32082.172 | 121 | | "shp_1_31" | 5411 | 33465.84 | 128 | 5410 | 33465.84 | 127 | | "shp_1_31" | 5415 | 34258.355 | 132 | 5414 | 34258.355 | 131 | | "shp_1_31" | 5423 | 35195.871 | 140 | 5422 | 35195.871 | 139 | | "shp_1_31" | 5433 | 36957.246 | 150 | 5432 | 36957.246 | 149 | | "shp_1_31" | 5441 | 38677.98 | 158 | 5440 | 38677.98 | 157 | | "shp_1_31" | 5443 | 39754.605 | 160 | 5442 | 39754.605 | 159 | | "shp_1_31" | 5445 | 41350.629 | 162 | 5444 | 41350.629 | 161 | | "shp_1_31" | 5463 | 42658.676 | 180 | 5462 | 42658.676 | 179 | | "shp_1_31" | 5473 | 44242.516 | 190 | 5472 | 44242.516 | 189 | | "shp_1_31" | 5479 | 45577.223 | 196 | 5478 | 45577.223 | 195 | | "shp_1_31" | 5492 | 48313.965 | 209 | 5491 | 48313.965 | 208 |
| expired_calendar | WARNING | 3 | 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. | fast_travel_between_consecutive_stops | WARNING | 257 | 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 257 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. |
|---|
| 74 | "1009" | "2" | 157.89207288155598 | 5.833234914790818 | 5251 | 32 | "40" | "Adarsh Nagar" | "20:34:19" | 5252 | 33 | "39" | "Jahangirpuri" | "20:36:32" | | 173 | "10265" | "20" | 157.89207288155598 | 5.833234914790818 | 69681 | 3 | "39" | "Jahangirpuri" | "12:52:17" | 69682 | 4 | "40" | "Adarsh Nagar" | "12:54:30" | | 118 | "10215" | "20" | 157.89207288155598 | 5.833234914790818 | 67831 | 3 | "39" | "Jahangirpuri" | "08:40:01" | 67832 | 4 | "40" | "Adarsh Nagar" | "08:42:14" | | 269 | "10351" | "20" | 157.89207288155598 | 5.833234914790818 | 72863 | 3 | "39" | "Jahangirpuri" | "20:32:33" | 72864 | 4 | "40" | "Adarsh Nagar" | "20:34:46" | | 280 | "10361" | "20" | 157.89207288155598 | 5.833234914790818 | 73233 | 3 | "39" | "Jahangirpuri" | "21:23:29" | 73234 | 4 | "40" | "Adarsh Nagar" | "21:25:42" | | 191 | "10281" | "20" | 157.89207288155598 | 5.833234914790818 | 70273 | 3 | "39" | "Jahangirpuri" | "14:24:01" | 70274 | 4 | "40" | "Adarsh Nagar" | "14:26:14" | | 270 | "10352" | "20" | 157.89207288155598 | 5.833234914790818 | 72900 | 3 | "39" | "Jahangirpuri" | "20:37:29" | 72901 | 4 | "40" | "Adarsh Nagar" | "20:39:42" | | 61 | "1005" | "2" | 157.89207288155598 | 5.833234914790818 | 5103 | 32 | "40" | "Adarsh Nagar" | "20:14:35" | 5104 | 33 | "39" | "Jahangirpuri" | "20:16:48" | | 156 | "1025" | "2" | 157.89207288155598 | 5.833234914790818 | 5843 | 32 | "40" | "Adarsh Nagar" | "21:53:15" | 5844 | 33 | "39" | "Jahangirpuri" | "21:55:28" | | 126 | "10222" | "20" | 157.89207288155598 | 5.833234914790818 | 68090 | 3 | "39" | "Jahangirpuri" | "09:14:33" | 68091 | 4 | "40" | "Adarsh Nagar" | "09:16:46" | | 264 | "10347" | "20" | 157.89207288155598 | 5.833234914790818 | 72715 | 3 | "39" | "Jahangirpuri" | "20:12:49" | 72716 | 4 | "40" | "Adarsh Nagar" | "20:15:02" | | 205 | "10294" | "20" | 157.89207288155598 | 5.833234914790818 | 70754 | 3 | "39" | "Jahangirpuri" | "15:38:33" | 70755 | 4 | "40" | "Adarsh Nagar" | "15:40:46" | | 320 | "1053" | "2" | 157.89207288155598 | 5.833234914790818 | 6879 | 32 | "40" | "Adarsh Nagar" | "24:28:11" | 6880 | 33 | "39" | "Jahangirpuri" | "24:30:24" | | 182 | "10273" | "20" | 157.89207288155598 | 5.833234914790818 | 69977 | 3 | "39" | "Jahangirpuri" | "13:38:09" | 69978 | 4 | "40" | "Adarsh Nagar" | "13:40:22" | | 179 | "10270" | "20" | 157.89207288155598 | 5.833234914790818 | 69866 | 3 | "39" | "Jahangirpuri" | "13:20:57" | 69867 | 4 | "40" | "Adarsh Nagar" | "13:23:10" | | 80 | "1014" | "2" | 157.89207288155598 | 5.833234914790818 | 5436 | 32 | "40" | "Adarsh Nagar" | "20:58:59" | 5437 | 33 | "39" | "Jahangirpuri" | "21:01:12" | | 102 | "10200" | "20" | 157.89207288155598 | 5.833234914790818 | 67276 | 3 | "39" | "Jahangirpuri" | "07:18:49" | 67277 | 4 | "40" | "Adarsh Nagar" | "07:21:02" | | 287 | "10368" | "20" | 157.89207288155598 | 5.833234914790818 | 73492 | 3 | "39" | "Jahangirpuri" | "22:03:37" | 73493 | 4 | "40" | "Adarsh Nagar" | "22:05:50" | | 121 | "10218" | "20" | 157.89207288155598 | 5.833234914790818 | 67942 | 3 | "39" | "Jahangirpuri" | "08:54:49" | 67943 | 4 | "40" | "Adarsh Nagar" | "08:57:02" | | 159 | "10252" | "20" | 157.89207288155598 | 5.833234914790818 | 69200 | 3 | "39" | "Jahangirpuri" | "11:42:33" | 69201 | 4 | "40" | "Adarsh Nagar" | "11:44:46" | | 17 | "1001" | "2" | 157.89207288155598 | 5.833234914790818 | 4955 | 32 | "40" | "Adarsh Nagar" | "19:54:51" | 4956 | 33 | "39" | "Jahangirpuri" | "19:57:04" | | 244 | "10329" | "20" | 157.89207288155598 | 5.833234914790818 | 72049 | 3 | "39" | "Jahangirpuri" | "18:44:01" | 72050 | 4 | "40" | "Adarsh Nagar" | "18:46:14" | | 248 | "10332" | "20" | 157.89207288155598 | 5.833234914790818 | 72160 | 3 | "39" | "Jahangirpuri" | "18:58:49" | 72161 | 4 | "40" | "Adarsh Nagar" | "19:01:02" | | 271 | "10353" | "20" | 157.89207288155598 | 5.833234914790818 | 72937 | 3 | "39" | "Jahangirpuri" | "20:42:25" | 72938 | 4 | "40" | "Adarsh Nagar" | "20:44:38" | | 129 | "10225" | "20" | 157.89207288155598 | 5.833234914790818 | 68201 | 3 | "39" | "Jahangirpuri" | "09:29:21" | 68202 | 4 | "40" | "Adarsh Nagar" | "09:31:34" | | 284 | "10365" | "20" | 157.89207288155598 | 5.833234914790818 | 73381 | 3 | "39" | "Jahangirpuri" | "21:46:25" | 73382 | 4 | "40" | "Adarsh Nagar" | "21:48:38" | | 197 | "10287" | "20" | 157.89207288155598 | 5.833234914790818 | 70495 | 3 | "39" | "Jahangirpuri" | "14:58:25" | 70496 | 4 | "40" | "Adarsh Nagar" | "15:00:38" | | 216 | "10303" | "20" | 157.89207288155598 | 5.833234914790818 | 71087 | 3 | "39" | "Jahangirpuri" | "16:30:09" | 71088 | 4 | "40" | "Adarsh Nagar" | "16:32:22" | | 259 | "10342" | "20" | 157.89207288155598 | 5.833234914790818 | 72530 | 3 | "39" | "Jahangirpuri" | "19:48:09" | 72531 | 4 | "40" | "Adarsh Nagar" | "19:50:22" | | 235 | "10320" | "20" | 157.89207288155598 | 5.833234914790818 | 71716 | 3 | "39" | "Jahangirpuri" | "17:59:37" | 71717 | 4 | "40" | "Adarsh Nagar" | "18:01:50" | | 283 | "10364" | "20" | 157.89207288155598 | 5.833234914790818 | 73344 | 3 | "39" | "Jahangirpuri" | "21:40:41" | 73345 | 4 | "40" | "Adarsh Nagar" | "21:42:54" | | 164 | "10257" | "20" | 157.89207288155598 | 5.833234914790818 | 69385 | 3 | "39" | "Jahangirpuri" | "12:07:13" | 69386 | 4 | "40" | "Adarsh Nagar" | "12:09:26" | | 246 | "10330" | "20" | 157.89207288155598 | 5.833234914790818 | 72086 | 3 | "39" | "Jahangirpuri" | "18:48:57" | 72087 | 4 | "40" | "Adarsh Nagar" | "18:51:10" | | 178 | "1027" | "2" | 157.89207288155598 | 5.833234914790818 | 5917 | 32 | "40" | "Adarsh Nagar" | "22:03:07" | 5918 | 33 | "39" | "Jahangirpuri" | "22:05:20" | | 169 | "10261" | "20" | 157.89207288155598 | 5.833234914790818 | 69533 | 3 | "39" | "Jahangirpuri" | "12:29:21" | 69534 | 4 | "40" | "Adarsh Nagar" | "12:31:34" | | 150 | "10244" | "20" | 157.89207288155598 | 5.833234914790818 | 68904 | 3 | "39" | "Jahangirpuri" | "11:03:05" | 68905 | 4 | "40" | "Adarsh Nagar" | "11:05:18" | | 171 | "10263" | "20" | 157.89207288155598 | 5.833234914790818 | 69607 | 3 | "39" | "Jahangirpuri" | "12:40:49" | 69608 | 4 | "40" | "Adarsh Nagar" | "12:43:02" | | 78 | "1012" | "2" | 157.89207288155598 | 5.833234914790818 | 5362 | 32 | "40" | "Adarsh Nagar" | "20:49:07" | 5363 | 33 | "39" | "Jahangirpuri" | "20:51:20" | | 127 | "10223" | "20" | 157.89207288155598 | 5.833234914790818 | 68127 | 3 | "39" | "Jahangirpuri" | "09:19:29" | 68128 | 4 | "40" | "Adarsh Nagar" | "09:21:42" | | 242 | "10327" | "20" | 157.89207288155598 | 5.833234914790818 | 71975 | 3 | "39" | "Jahangirpuri" | "18:34:09" | 71976 | 4 | "40" | "Adarsh Nagar" | "18:36:22" | | 180 | "10271" | "20" | 157.89207288155598 | 5.833234914790818 | 69903 | 3 | "39" | "Jahangirpuri" | "13:26:41" | 69904 | 4 | "40" | "Adarsh Nagar" | "13:28:54" | | 99 | "10199" | "20" | 157.89207288155598 | 5.833234914790818 | 67239 | 3 | "39" | "Jahangirpuri" | "07:13:05" | 67240 | 4 | "40" | "Adarsh Nagar" | "07:15:18" | | 139 | "10234" | "20" | 157.89207288155598 | 5.833234914790818 | 68534 | 3 | "39" | "Jahangirpuri" | "10:13:45" | 68535 | 4 | "40" | "Adarsh Nagar" | "10:15:58" | | 149 | "10243" | "20" | 157.89207288155598 | 5.833234914790818 | 68867 | 3 | "39" | "Jahangirpuri" | "10:58:09" | 68868 | 4 | "40" | "Adarsh Nagar" | "11:00:22" | | 138 | "10233" | "20" | 157.89207288155598 | 5.833234914790818 | 68497 | 3 | "39" | "Jahangirpuri" | "10:08:49" | 68498 | 4 | "40" | "Adarsh Nagar" | "10:11:02" | | 92 | "10192" | "20" | 157.89207288155598 | 5.833234914790818 | 66980 | 3 | "39" | "Jahangirpuri" | "06:32:57" | 66981 | 4 | "40" | "Adarsh Nagar" | "06:35:10" | | 71 | "1006" | "2" | 157.89207288155598 | 5.833234914790818 | 5140 | 32 | "40" | "Adarsh Nagar" | "20:19:31" | 5141 | 33 | "39" | "Jahangirpuri" | "20:21:44" | | 225 | "10311" | "20" | 157.89207288155598 | 5.833234914790818 | 71383 | 3 | "39" | "Jahangirpuri" | "17:15:13" | 71384 | 4 | "40" | "Adarsh Nagar" | "17:17:26" | | 194 | "10284" | "20" | 157.89207288155598 | 5.833234914790818 | 70384 | 3 | "39" | "Jahangirpuri" | "14:41:13" | 70385 | 4 | "40" | "Adarsh Nagar" | "14:43:26" | | 144 | "10239" | "20" | 157.89207288155598 | 5.833234914790818 | 68719 | 3 | "39" | "Jahangirpuri" | "10:38:25" | 68720 | 4 | "40" | "Adarsh Nagar" | "10:40:38" |
| missing_recommended_field | WARNING | 36 | 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. |
|---|
| "routes.txt" | 2 | "agency_id" | | "routes.txt" | 3 | "agency_id" | | "routes.txt" | 4 | "agency_id" | | "routes.txt" | 5 | "agency_id" | | "routes.txt" | 6 | "agency_id" | | "routes.txt" | 7 | "agency_id" | | "routes.txt" | 8 | "agency_id" | | "routes.txt" | 9 | "agency_id" | | "routes.txt" | 10 | "agency_id" | | "routes.txt" | 11 | "agency_id" | | "routes.txt" | 12 | "agency_id" | | "routes.txt" | 13 | "agency_id" | | "routes.txt" | 14 | "agency_id" | | "routes.txt" | 15 | "agency_id" | | "routes.txt" | 16 | "agency_id" | | "routes.txt" | 17 | "agency_id" | | "routes.txt" | 18 | "agency_id" | | "routes.txt" | 19 | "agency_id" | | "routes.txt" | 20 | "agency_id" | | "routes.txt" | 21 | "agency_id" | | "routes.txt" | 22 | "agency_id" | | "routes.txt" | 23 | "agency_id" | | "routes.txt" | 24 | "agency_id" | | "routes.txt" | 25 | "agency_id" | | "routes.txt" | 26 | "agency_id" | | "routes.txt" | 27 | "agency_id" | | "routes.txt" | 28 | "agency_id" | | "routes.txt" | 29 | "agency_id" | | "routes.txt" | 30 | "agency_id" | | "routes.txt" | 31 | "agency_id" | | "routes.txt" | 32 | "agency_id" | | "routes.txt" | 33 | "agency_id" | | "routes.txt" | 34 | "agency_id" | | "routes.txt" | 35 | "agency_id" | | "routes.txt" | 36 | "agency_id" | | "routes.txt" | 37 | "agency_id" |
| missing_recommended_file | WARNING | 1 | missing_recommended_file A recommended file is missing. You can see more about this notice here. | stop_too_far_from_shape | WARNING | 26 | 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. |
|---|
| 85 | "shp_1_31" | "10186" | 66771 | "51" | "Patel Chowk" | [28.622280703850837,77.21348172400208] | 139.2817377989638 | | 85 | "shp_1_31" | "10186" | 66774 | "54" | "Lok Kalyan Marg" | [28.59762521833573,77.21104694471687] | 188.30247695406717 | | 85 | "shp_1_31" | "10186" | 66780 | "60" | "Malviya Nagar" | [28.528691982012838,77.2045611172752] | 117.93602269387935 | | 3379 | "shp_1_12" | "3611" | 23456 | "72" | "Vaishali" | [28.64900602691835,77.33842184366443] | 141.47755259347156 | | 329 | "shp_1_34" | "10736" | 74052 | "51" | "Patel Chowk" | [28.622280703850837,77.21348172400208] | 139.2817377989638 | | 329 | "shp_1_34" | "10736" | 74055 | "54" | "Lok Kalyan Marg" | [28.59762521833573,77.21104694471687] | 188.30247695406717 | | 329 | "shp_1_34" | "10736" | 74061 | "60" | "Malviya Nagar" | [28.528691982012838,77.2045611172752] | 117.93602269387935 | | 6 | "shp_1_13" | "1000" | 4897 | "60" | "Malviya Nagar" | [28.528691982012838,77.2045611172752] | 117.93602269387935 | | 6 | "shp_1_13" | "1000" | 4903 | "54" | "Lok Kalyan Marg" | [28.59762521833573,77.21104694471687] | 188.30247695406717 | | 6 | "shp_1_13" | "1000" | 4906 | "51" | "Patel Chowk" | [28.622280703850837,77.21348172400208] | 139.2817377989638 | | 1713 | "shp_1_35" | "14810" | 110076 | "215" | "Maujpur - Babarpur" | [28.692444988036605,77.27991469255275] | 107.30881951276864 | | 1713 | "shp_1_35" | "14810" | 110088 | "224" | "Mayur Vihar Pocket 1" | [28.605270294146873,77.29684516579553] | 156.0915498131951 | | 1713 | "shp_1_35" | "14810" | 110089 | "87" | "Mayur Vihar-I" | [28.603247369028953,77.29001593029356] | 143.24900554593302 | | 990 | "shp_1_36" | "12942" | 90414 | "72" | "Vaishali" | [28.64900602691835,77.33842184366443] | 141.47755259347156 | | 2276 | "shp_1_18" | "16107" | 121673 | "157" | "Shivaji Stadium" | [28.62818730614857,77.2096916011387] | 102.41865558638997 | | 4561 | "shp_1_2" | "6564" | 54457 | "113" | "Dwarka" | [28.615887,77.022461] | 111.07796279288127 | | 4637 | "shp_1_7" | "6792" | 54765 | "157" | "Shivaji Stadium" | [28.62818730614857,77.2096916011387] | 102.41865558638997 | | 2176 | "shp_1_1" | "15876" | 121367 | "113" | "Dwarka" | [28.615887,77.022461] | 111.07796279288127 | | 2424 | "shp_1_24" | "16449" | 122362 | "68" | "Sikanderpur" | [28.48106546602949,77.09443808222429] | 144.59721423423764 | | 1500 | "shp_1_25" | "1420" | 7108 | "60" | "Malviya Nagar" | [28.528691982012838,77.2045611172752] | 117.93602269387935 | | 1500 | "shp_1_25" | "1420" | 7114 | "54" | "Lok Kalyan Marg" | [28.59762521833573,77.21104694471687] | 188.30247695406717 | | 1500 | "shp_1_25" | "1420" | 7117 | "51" | "Patel Chowk" | [28.622280703850837,77.21348172400208] | 139.2817377989638 | | 4161 | "shp_1_26" | "5487" | 43112 | "87" | "Mayur Vihar-I" | [28.603247369028953,77.29001593029356] | 143.24900554593302 | | 4161 | "shp_1_26" | "5487" | 43113 | "224" | "Mayur Vihar Pocket 1" | [28.605270294146873,77.29684516579553] | 156.0915498131951 | | 4161 | "shp_1_26" | "5487" | 43125 | "215" | "Maujpur - Babarpur" | [28.692466864472742,77.27985155329263] | 113.92610928445382 | | 4749 | "shp_1_29" | "7128" | 55438 | "68" | "Sikanderpur" | [28.48106546602949,77.09443808222429] | 144.59721423423764 |
| stop_too_far_from_shape_using_user_distance | WARNING | 26 | stop_too_far_from_shape_using_user_distance Stop time too far from shape. A stop time entry that is a large distance away from the location of the shape in
shapes.txt as defined by shape_dist_traveled values. 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. |
|---|
| 2 | "shp_1_30" | "0" | 13 | "10" | "Pul Bangash" | [28.666376000000007,77.20742] | 129.67155273542855 | | 85 | "shp_1_31" | "10186" | 66772 | "52" | "Central Secretariat" | [28.615882999999997,77.21225] | 103.46154321595682 | | 85 | "shp_1_31" | "10186" | 66779 | "59" | "Hauz Khas" | [28.544262,77.20668] | 101.85700770373853 | | 3669 | "shp_1_32" | "430" | 286 | "10" | "Pul Bangash" | [28.666376000000007,77.20742] | 129.67155273542855 | | 7 | "shp_1_33" | "10000" | 65061 | "10" | "Pul Bangash" | [28.666376000000007,77.20742] | 129.67155273542855 | | 329 | "shp_1_34" | "10736" | 74053 | "52" | "Central Secretariat" | [28.615882999999997,77.21225] | 103.46154321595682 | | 329 | "shp_1_34" | "10736" | 74060 | "59" | "Hauz Khas" | [28.544262,77.20668] | 101.85700770373853 | | 6 | "shp_1_13" | "1000" | 4898 | "59" | "Hauz Khas" | [28.544262,77.20668] | 101.85700770373853 | | 6 | "shp_1_13" | "1000" | 4905 | "52" | "Central Secretariat" | [28.615882999999997,77.21225] | 103.46154321595682 | | 1713 | "shp_1_35" | "14810" | 110082 | "75" | "Karkarduma" | [28.649284000000005,77.305969] | 152.5384659974888 | | 3824 | "shp_1_15" | "4761" | 35526 | "122" | "ITO" | [28.628191000000005,77.241074] | 110.28308286640508 | | 3824 | "shp_1_15" | "4761" | 35529 | "52" | "Central Secretariat" | [28.615870000000005,77.212364] | 104.96562573004756 | | 3824 | "shp_1_15" | "4761" | 35530 | "124" | "Khan Market" | [28.602264,77.229141] | 112.10740248853288 | | 1387 | "shp_1_5" | "14087" | 102552 | "124" | "Khan Market" | [28.602224000000003,77.229111] | 111.41061608202256 | | 1387 | "shp_1_5" | "14087" | 102553 | "52" | "Central Secretariat" | [28.615877000000005,77.212303] | 104.01775147790157 | | 1387 | "shp_1_5" | "14087" | 102556 | "122" | "ITO" | [28.628195000000005,77.24101300000001] | 110.24403162866713 | | 3991 | "shp_1_19" | "5121" | 38539 | "122" | "ITO" | [28.628191000000005,77.241074] | 110.28308286640508 | | 3991 | "shp_1_19" | "5121" | 38542 | "52" | "Central Secretariat" | [28.615870000000005,77.212364] | 104.96562573004756 | | 3991 | "shp_1_19" | "5121" | 38543 | "124" | "Khan Market" | [28.602264,77.229141] | 112.10740248853288 | | 5281 | "shp_1_6" | "9333" | 61714 | "10" | "Pul Bangash" | [28.666376000000007,77.20742] | 129.67155273542855 | | 1500 | "shp_1_25" | "1420" | 7109 | "59" | "Hauz Khas" | [28.544262,77.20668] | 101.85700770373853 | | 1500 | "shp_1_25" | "1420" | 7116 | "52" | "Central Secretariat" | [28.615882999999997,77.21225] | 103.46154321595682 | | 4161 | "shp_1_26" | "5487" | 43119 | "75" | "Karkarduma" | [28.649284000000005,77.305969] | 152.5384659974888 | | 1543 | "shp_1_27" | "14446" | 105576 | "124" | "Khan Market" | [28.602224000000003,77.229111] | 111.41061608202256 | | 1543 | "shp_1_27" | "14446" | 105577 | "52" | "Central Secretariat" | [28.615877000000005,77.212303] | 104.01775147790157 | | 1543 | "shp_1_27" | "14446" | 105580 | "122" | "ITO" | [28.628195000000005,77.24101300000001] | 110.24403162866713 |
| trip_coverage_not_active_for_next7_days | WARNING | 1 | trip_coverage_not_active_for_next7_days Trips data should be valid for at least the next seven days. This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days. You can see more about this notice here. | | | | | | | | |