rtc-southern-nevada2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-22T03:47:29Z,
for the dataset file:///shared/rtc-southern-nevada2_4a6f3c72.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


  • Regional Transportation Commission of Southern Nevada

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. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 1
  • Blocks: 2437
  • Routes: 78
  • Shapes: 584
  • Stops: 3900
  • Trips: 27207

Specification Compliance report

120546 notices reported (31 errors, 120494 warnings, 21 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 31

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.
"15088" 191962 11.3168 195 191961 11.3168 194 13.1406930478234
"15199" 133785 0.195 3 133784 0.195 2 193.83055786385094
"15288" 61403 0.376 3 61402 0.376 2 378.894117866784
"15166" 190732 0.376 3 190731 0.376 2 378.894117866784
"15044" 68139 0.175 3 68138 0.175 2 176.58392284464477
"15174" 118350 0.376 3 118349 0.376 2 378.894117866784
"15058" 130222 0.157 3 130221 0.157 2 155.56197253176208
"15171" 119276 0.376 3 119275 0.376 2 378.894117866784
"15059" 130836 0.0758 3 130835 0.0758 2 75.41842540285823
"14852" 427 0.157 3 426 0.157 2 155.56197253176208
"14861" 182529 0.0212 3 182528 0.0212 2 21.62893726540113
"14726" 93400 0.3 3 93399 0.3 2 298.4726956989654
"14964" 237217 0.3341 3 237216 0.3341 2 336.4036550195885
"14704" 234406 7.8804 124 234405 7.8804 123 13.1406930478234
"14823" 209203 0.0206 3 209202 0.0206 2 21.438412202742757
"14942" 146312 0.3593 3 146311 0.3593 2 356.65465012900694
"14911" 11099 0.195 3 11098 0.195 2 193.83055786385094
"14912" 3131 0.195 3 3130 0.195 2 193.83055786385094
"14686" 53572 0.175 3 53571 0.175 2 176.58392284464477
"14893" 99809 0.0758 3 99808 0.0758 2 75.41842540285823
"14770" 123954 0.376 3 123953 0.376 2 378.894117866784
"14773" 123588 0.376 3 123587 0.376 2 378.894117866784
"14778" 124898 0.376 3 124897 0.376 2 378.894117866784
"14990" 192934 0.3 3 192933 0.3 2 298.4726956989654
"14764" 56139 0.142 3 56138 0.142 2 143.69747453225415
"14889" 170651 0.1709 3 170650 0.1709 2 170.58146618896706
"15020" 206659 0.3593 3 206658 0.3593 2 356.65465012900694
"15266" 167099 0.3341 3 167098 0.3341 2 336.4036550195885
"15157" 229074 0.142 3 229073 0.142 2 143.69747453225415
"15011" 163135 0.0212 3 163134 0.0212 2 21.62893726540113
"15216" 192191 0.0206 3 192190 0.0206 2 21.438412202742757
duplicate_route_name WARNING 38

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
8 "4761" 13 "4709" "110" "Eastern" 3 "RTCSNV"
10 "4763" 19 "4710" "111" "Pecos/Green Valley Pkwy." 3 "RTCSNV"
6 "4759" 21 "4707" "108" "Paradise" 3 "RTCSNV"
3 "4752" 24 "4704" "104" "Valley View" 3 "RTCSNV"
4 "4747" 31 "4727" "214" "H Street/D Street" 3 "RTCSNV"
11 "4762" 32 "4726" "212" "Sunset" 3 "RTCSNV"
7 "4746" 35 "4723" "208" "Washington" 3 "RTCSNV"
28 "4744" 39 "4711" "113" "Las Vegas Blvd North" 3 "RTCSNV"
12 "4765" 41 "4714" "119" "Simmons/Koval" 3 "RTCSNV"
15 "4766" 42 "4715" "120" "Fort Apache/Rampart" 3 "RTCSNV"
14 "4767" 43 "4716" "121" "Durango/Buffalo" 3 "RTCSNV"
29 "4725" 47 "4774" "210" "Lake Mead Blvd." 3 "RTCSNV"
40 "4754" 48 "4717" "122" "S. Maryland Pkwy/W. Henderson" 3 "RTCSNV"
36 "4722" 49 "4772" "207" "Alta/Stewart" 3 "RTCSNV"
30 "4724" 50 "4773" "209" "Vegas/Owens" 3 "RTCSNV"
33 "4721" 51 "4770" "206" "Charleston" 3 "RTCSNV"
53 "4729" 54 "4755" "217" "Warm Springs/Lake Mead Pkwy." 3 "RTCSNV"
2 "4740" 55 "4778" "DEUCE" "The Deuce/Strip" 3 "RTCSNV"
20 "4748" 56 "4728" "215" "Bonanza" 3 "RTCSNV"
45 "4776" 57 "4732" "220" "Ann/Tropical" 3 "RTCSNV"
46 "4777" 58 "4733" "221" "Cactus/Horizon Ridge/Boulder City" 3 "RTCSNV"
5 "4749" 60 "4731" "219" "Craig Rd" 3 "RTCSNV"
52 "4771" 62 "4737" "SX" "Sahara Express" 3 "RTCSNV"
44 "4745" 63 "4712" "115" "Nellis/Stephanie" 3 "RTCSNV"
38 "4753" 64 "4713" "117" "Las Vegas Bl. South/Silverado Ranch" 3 "RTCSNV"
26 "4702" 65 "4750" "102" "Jones" 3 "RTCSNV"
25 "4703" 66 "4751" "103" "Decatur" 3 "RTCSNV"
37 "4758" 67 "4738" "CX" "Centennial Express" 3 "RTCSNV"
17 "4768" 69 "4718" "201" "Tropicana" 3 "RTCSNV"
16 "4769" 70 "4719" "202" "Flamingo" 3 "RTCSNV"
61 "4736" 71 "4756" "BHX" "Boulder Highway Express" 3 "RTCSNV"
68 "4739" 72 "4757" "DVX" "Downtown & Vets. Med. Ctr. Express" 3 "RTCSNV"
22 "4706" 73 "4743" "106" "Rancho/Centennial Hills" 3 "RTCSNV"
59 "4730" 75 "4775" "218" "Cheyenne" 3 "RTCSNV"
23 "4705" 76 "4742" "105" "Martin L. King" 3 "RTCSNV"
74 "4779" 77 "4735" "401" "N. Outlets/Symphony Park" 3 "RTCSNV"
27 "4701" 78 "4741" "101" "Rainbow" 3 "RTCSNV"
34 "4720" 79 "4764" "203" "Spring Mtn./Desert Inn/Lamb" 3 "RTCSNV"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 20029

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 20029 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.
"14904" 184390 1.5668 57 184389 1.5668 56 0.6285560623036082
"14904" 184392 1.7568 59 184391 1.7568 58 0.9809203117593019
"14904" 184396 2.7579 63 184395 2.7579 62 0.08979373757056792
"14904" 184403 4.3239 70 184402 4.3239 69 0.6731861022248393
"14904" 184408 5.1837 75 184407 5.1837 74 0.08979405693981084
"14904" 184412 5.6657 79 184411 5.6657 78 0.11119510161714974
"14904" 184417 6.597 84 184416 6.597 83 0.14292430926063343
"14904" 184421 7.4024 88 184420 7.4024 87 0.11119510232447394
"14904" 184433 9.2095 100 184432 9.2095 99 0.14292415231883357
"14904" 184456 11.7381 123 184455 11.7381 122 0.08979370666880886
"14904" 184461 12.3113 128 184460 12.3113 127 0.14292388711529277
"14904" 184466 13.0525 133 184465 13.0525 132 0.08979363684323756
"14904" 184473 13.8726 140 184472 13.8726 139 0.08979370552412819
"14904" 184505 16.7395 172 184504 16.7395 171 0.11119510090982554
"14904" 184513 17.1748 180 184512 17.1748 179 0.14292452196082328
"14904" 184528 17.7423 195 184527 17.7423 194 0.1429243603205306
"14904" 184550 19.1224 217 184549 19.1224 216 0.08979382800480537
"14904" 184553 19.3394 220 184552 19.3394 219 0.08979379137510295
"14904" 184561 19.6846 228 184560 19.6846 227 0.11119510090982554
"14904" 184565 19.9656 232 184564 19.9656 231 0.11119510090982554
"14904" 184573 20.3678 240 184572 20.3678 239 0.08979380625592294
"14904" 184577 20.4268 244 184576 20.4268 243 0.08979377534499328
"14904" 184589 21.54 256 184588 21.54 255 0.11119510090982554
"14904" 184607 21.9694 274 184606 21.9694 273 0.239833141883087
"14904" 184618 22.7938 285 184617 22.7938 284 0.14292268034721667
"14904" 184621 22.8176 288 184620 22.8176 287 0.14292273699354482
"14904" 184630 23.1041 297 184629 23.1041 296 0.08979363569855522
"14904" 184632 23.1051 299 184631 23.1051 298 0.08979363913260217
"14904" 184635 23.1168 302 184634 23.1168 301 0.08979368034114639
"14904" 184639 23.161 306 184638 23.161 305 0.34931892031454215
"14904" 184648 23.804 315 184647 23.804 314 0.08979383602215041
"14904" 184655 24.7871 322 184654 24.7871 321 0.1795876285373405
"14904" 184659 25.1881 326 184658 25.1881 325 0.5387629680288321
"14904" 184661 25.2011 328 184660 25.2011 327 0.08979382686012757
"14904" 184664 25.3072 331 184663 25.3072 330 0.14292401656692785
"14904" 184667 25.3364 334 184666 25.3364 333 0.08979374787729495
"14904" 184710 26.998 377 184709 26.998 376 0.26938056483985756
"14904" 184732 29.3222 399 184731 29.3222 398 0.2112390682617397
"14905" 184013 1.5668 57 184012 1.5668 56 0.6285560623036082
"14905" 184015 1.7568 59 184014 1.7568 58 0.9809203117593019
"14905" 184019 2.7579 63 184018 2.7579 62 0.08979373757056792
"14905" 184026 4.3239 70 184025 4.3239 69 0.6731861022248393
"14905" 184031 5.1837 75 184030 5.1837 74 0.08979405693981084
"14905" 184035 5.6657 79 184034 5.6657 78 0.11119510161714974
"14905" 184040 6.597 84 184039 6.597 83 0.14292430926063343
"14905" 184044 7.4024 88 184043 7.4024 87 0.11119510232447394
"14905" 184056 9.2095 100 184055 9.2095 99 0.14292415231883357
"14905" 184079 11.7381 123 184078 11.7381 122 0.08979370666880886
"14905" 184084 12.3113 128 184083 12.3113 127 0.14292388711529277
"14905" 184089 13.0525 133 184088 13.0525 132 0.08979363684323756
expired_calendar WARNING 13

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.
6 "2003_merged_358057049"
10 "2201"
12 "2203"
15 "2501_merged_358057058"
16 "2401_merged_358057054"
17 "3_merged_358057050"
20 "2102_merged_358057046"
24 "2103_merged_358057055"
27 "1_merged_358057051"
28 "2002_merged_358057048"
29 "2403_merged_358057053"
34 "2101_merged_358057057"
38 "2001_merged_358057047"
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"
missing_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "358023797" 1
3 "358023797" 2
4 "358023797" 3
5 "358023797" 4
6 "358023797" 5
7 "358023797" 6
8 "358023797" 7
9 "358023797" 8
10 "358023797" 9
11 "358023797" 10
12 "358023797" 11
13 "358023797" 12
14 "358023797" 13
15 "358023797" 14
16 "358023797" 15
17 "358023797" 16
18 "358023797" 17
19 "358023797" 18
20 "358023797" 19
21 "358023797" 20
22 "358023797" 21
23 "358023797" 22
24 "358023797" 23
25 "358023797" 24
26 "358023797" 25
27 "358023797" 26
28 "358023797" 27
29 "358023797" 28
30 "358023797" 29
31 "358023797" 30
32 "358023797" 31
33 "358023797" 32
34 "358023797" 33
35 "358023797" 34
36 "358023797" 35
37 "358023797" 36
38 "358023797" 37
39 "358023797" 38
40 "358023797" 39
41 "358023797" 40
42 "358023797" 41
43 "358023797" 42
44 "358023797" 43
45 "358023797" 44
46 "358023797" 45
47 "358023797" 46
48 "358023797" 47
49 "358023797" 48
50 "358023797" 49
51 "358023797" 50
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_short_name" "RED LINE" 9
route_long_name_contains_short_name WARNING 1

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"4760" 9 "RED LINE" "RED LINE Maryland Pkwy BRT"
service_has_no_active_day_of_the_week WARNING 34

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.
3 "2403_merged_358057066"
4 "3602"
6 "2003_merged_358057049"
7 "2402_merged_358057052"
9 "2101_merged_358057070"
10 "2201"
11 "2202"
12 "2203"
13 "2402_merged_358057065"
14 "2501_merged_358057071"
15 "2501_merged_358057058"
16 "2401_merged_358057054"
18 "3303"
19 "4"
20 "2102_merged_358057046"
21 "2003_merged_358057062"
22 "2103_merged_358057068"
23 "3603"
24 "2103_merged_358057055"
25 "3601"
26 "2002_merged_358057061"
28 "2002_merged_358057048"
29 "2403_merged_358057053"
30 "3401"
31 "3403"
32 "3402"
34 "2101_merged_358057057"
35 "3501"
36 "3502"
37 "3503"
38 "2001_merged_358057047"
39 "2001_merged_358057060"
40 "2401_merged_358057067"
41 "2102_merged_358057059"
stop_too_far_from_shape_using_user_distance WARNING 377

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.

Only the first 50 of 377 affected records are displayed below.

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.
76 "14904" "358021272" 4498 "6515" "SB Pavilion Center after Sage Park" [36.14959527384616,-115.33069405538501] 205.5347903091452
76 "14904" "358021272" 4499 "6508" "EB Sahara after Pavilion Center" [36.14588903448305,-115.33168111724422] 183.75652717276333
76 "14904" "358021272" 4500 "6509" "EB Sahara after Town Center" [36.14439700370703,-115.3280035926316] 211.18606754572068
76 "14904" "358021272" 4501 "6510" "EB Sahara after Blue Willow" [36.144401314559815,-115.32179084591016] 210.597813480201
76 "14904" "358021272" 4502 "6312" "EB Sahara after Hualapai" [36.14440101979083,-115.31713703920586] 211.86510145066217
76 "14904" "358021272" 4503 "6313" "EB Sahara before Grand Canyon" [36.144409993722995,-115.30952128981185] 212.12017515595505
76 "14904" "358021272" 4504 "2421" "EB Sahara before Fort Apache" [36.144414019182584,-115.30437883896103] 211.34589054424706
76 "14904" "358021272" 4505 "2418" "EB Sahara after Fort Apache" [36.14441402131349,-115.29935344988112] 211.44570422997018
76 "14904" "358021272" 4506 "6314" "EB Sahara before Crystal Water" [36.144192484407704,-115.29064011147662] 212.65818018585747
76 "14904" "358021272" 4507 "2427" "EB Sahara before Lake Sahara" [36.1441011230199,-115.2854273762316] 211.467222958519
76 "14904" "358021272" 4508 "2407" "EB Sahara after Durango" [36.1440995357324,-115.28039967391958] 211.32091646469527
76 "14904" "358021272" 4509 "2408" "EB Sahara before Cimarron" [36.14403295543404,-115.27640635701344] 211.98386839535175
76 "14904" "358021272" 4510 "2399" "EB Sahara after Cimarron" [36.14392435584778,-115.2717101734118] 212.2761627856296
76 "14904" "358021272" 4511 "3800" "EB Sahara after Meyers Ct" [36.143820468286314,-115.26733451507337] 212.00462721720544
76 "14904" "358021272" 4512 "2393" "EB Sahara after Buffalo" [36.14369417546441,-115.26237549144189] 212.31165954973056
76 "14904" "358021272" 4513 "3394" "EB Sahara after Pioneer" [36.14373116520651,-115.25829166974847] 211.97849819265164
76 "14904" "358021272" 4514 "2480" "EB Sahara after Tenaya" [36.1438568105272,-115.25372438110755] 212.6871689900001
76 "14904" "358021272" 4515 "2456" "EB Sahara after Rainbow" [36.1441168041293,-115.2442566118267] 210.78833304375613
76 "14904" "358021272" 4516 "2460" "EB Sahara after Redwood" [36.144122485275304,-115.24011744772112] 212.01901420899102
76 "14904" "358021272" 4517 "2483" "EB Sahara after Torrey Pines" [36.144066944408614,-115.23575653500484] 212.914259601857
76 "14904" "358021272" 4518 "2413" "EB Sahara after El Camino" [36.14409560355622,-115.23140971293742] 212.42390602769083
76 "14904" "358021272" 4519 "2423" "EB Sahara after Jones" [36.14420117092829,-115.22663108492542] 212.2439083817598
76 "14904" "358021272" 4520 "2433" "EB Sahara after Lindell" [36.14434541185455,-115.21852743991602] 211.303062801711
76 "14904" "358021272" 4521 "2411" "EB Sahara after Edmond" [36.14441743251333,-115.21427149689588] 212.28186595865498
76 "14904" "358021272" 4522 "2402" "EB Sahara after Decatur" [36.144497556574,-115.20977958562948] 210.52877213134929
76 "14904" "358021272" 4523 "6306" "EB Sahara before Arville" [36.14449506449984,-115.20291048196799] 212.09482362232794
76 "14904" "358021272" 4524 "2432" "EB Sahara after Las Verdes" [36.144452027805016,-115.19605753791339] 211.93968526334282
76 "14904" "358021272" 4525 "2487" "EB Sahara after Valley View" [36.14442619910238,-115.19218625980675] 211.63857223756906
76 "14904" "358021272" 4526 "6307" "EB Sahara before Richfield" [36.1443702703979,-115.18453757899445] 211.2691663605114
76 "14904" "358021272" 4527 "6308" "EB Sahara before Teddy" [36.144333996632604,-115.18039141734442] 211.92891728206462
76 "14904" "358021272" 4528 "2453" "EB Sahara before Rancho" [36.144306529482925,-115.17711612807405] 212.3573895820895
76 "14904" "358021272" 4529 "6533" "EB Sahara after South Bridge" [36.14383892519413,-115.16218973890997] 212.14773107882652
76 "14904" "358021272" 4530 "2454" "EB Sahara after Paradise" [36.14364470644899,-115.15650693844539] 212.86925416646247
76 "14904" "358021272" 4531 "6309" "EB Sahara after Joe W Brown" [36.143650697460686,-115.15331980152062] 211.46642912415106
76 "14904" "358021272" 4532 "2381" "EB Sahara after 6th" [36.1438177483197,-115.14857298323939] 211.56182576665339
76 "14904" "358021272" 4533 "6310" "EB Sahara after Commercial Center" [36.14396961354398,-115.14432732669147] 211.59518511402837
76 "14904" "358021272" 4534 "2439" "EB Sahara after Maryland" [36.14416873265172,-115.13885677021484] 212.65920177813743
76 "14904" "358021272" 4535 "2380" "EB Sahara after 15th" [36.14426578906062,-115.1349022526965] 211.46816688655804
76 "14904" "358021272" 4536 "2395" "EB Sahara after Burnham" [36.144330288552155,-115.12480443148604] 213.20055114263786
76 "14904" "358021272" 4537 "2409" "EB Sahara after Eastern" [36.14429759809234,-115.1203844949878] 214.36686522498394
76 "14904" "358021272" 4538 "2387" "EB Sahara after Atlantic" [36.14434660133699,-115.11632497751792] 212.3235733870196
76 "14904" "358021272" 4539 "2442" "EB Sahara after McLeod" [36.14430308459886,-115.11162400637022] 213.95902032943278
76 "14904" "358021272" 4540 "2444" "EB Sahara after Mojave" [36.14432668307283,-115.10737311796808] 212.9428460305843
76 "14904" "358021272" 4541 "2419" "EB Sahara before Boulder" [36.1444203077168,-115.10380329371655] 208.78918407771664
76 "14904" "358021272" 4542 "2469" "EB Sahara before Sandhill" [36.14627521252652,-115.09592161226212] 211.39322461694178
76 "14904" "358021272" 4543 "3806" "EB Sahara after Walnut" [36.14477801066091,-115.08938275605155] 207.78722385147762
76 "14904" "358021272" 4544 "2429" "EB Sahara after Lamb" [36.14431412530033,-115.0846655005778] 212.24180743803754
76 "14904" "358021272" 4545 "2383" "EB Sahara after Arden" [36.144315149406665,-115.07632443599246] 211.72558957657614
76 "14904" "358021272" 4546 "2465" "EB Sahara before Nellis" [36.14432379197319,-115.07178017197145] 212.5180397771152
76 "14904" "358021272" 4547 "2447" "EB Sahara after Nellis" [36.14431031586009,-115.06719442827443] 213.56813423847444
big_gap_in_service INFO 21

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"3602" "2026-10-10" "2026-11-27" 47
"2003_merged_358057049" "2025-10-12" "2025-12-14" 62
"2501_merged_358057071" "2026-09-04" "2026-10-01" 26
"2501_merged_358057071" "2026-10-08" "2027-02-02" 116
"2501_merged_358057071" "2027-02-02" "2027-03-02" 27
"2501_merged_358057071" "2027-03-03" "2027-04-01" 28
"2501_merged_358057071" "2027-04-14" "2027-05-04" 19
"2501_merged_358057071" "2027-05-18" "2027-08-11" 84
"2501_merged_358057058" "2025-11-07" "2025-12-05" 27
"2501_merged_358057058" "2025-12-05" "2026-04-01" 116
"2501_merged_358057058" "2026-04-01" "2026-05-01" 29
"3303" "2026-10-11" "2026-11-22" 41
"2003_merged_358057062" "2026-10-11" "2026-12-13" 62
"3603" "2026-10-04" "2026-11-26" 52
"3601" "2026-10-09" "2026-11-30" 51
"2002_merged_358057048" "2025-10-18" "2025-12-20" 62
"3401" "2026-10-16" "2026-11-30" 44
"3403" "2026-10-11" "2026-11-26" 45
"3402" "2026-10-10" "2026-11-27" 47
"2001_merged_358057047" "2025-10-17" "2025-12-15" 58
"2001_merged_358057060" "2026-10-16" "2026-12-14" 58