Einzelmessungen
- Datum
- Datum
- Datum_Zeit
- Datum und Uhrzeit als Text
- Fahrzeuglänge
- Vom Radar gemessene Fahrzeuglänge
- Geschwindigkeit
- Geschwindigkeit in km/h
- Messung-ID
- Laufnummer der Messung; eine Messung beinhaltet alle Fahrten eines Messgeräts an einem Standort
- Richtung ID
- ID der Richtung; In einer Messung werden i.d.R. Fahrten in zwei Richtungen gemessen.
- Timestamp
- Datum und Uhrzeit
- Zeit
- Uhrzeit (hh:mm:ss) der gemessenen Fahrt
5,334 rows where Messung-ID = 65 sorted by Timestamp descending
This data as json, copyable, CSV (advanced)
Suggested facets: Datum, Timestamp (date)
Link | rowid | Geschwindigkeit | Zeit | Datum | Richtung ID | Fahrzeuglänge | Messung-ID | Datum_Zeit | Timestamp ▲ |
---|---|---|---|---|---|---|---|---|---|
34892695 | 34892695 | 20 | 10:58:58 | 01.11.19 | 2 | 18.4 | 65 65 | 01.11.19 10:58:58 | 2019-11-01 10:58:58+01:00 |
34892694 | 34892694 | 22 | 10:57:13 | 01.11.19 | 2 | 7.4 | 65 65 | 01.11.19 10:57:13 | 2019-11-01 10:57:13+01:00 |
34894879 | 34894879 | 18 | 10:55:44 | 01.11.19 | 1 | 3.5 | 65 65 | 01.11.19 10:55:44 | 2019-11-01 10:55:44+01:00 |
34892693 | 34892693 | 25 | 10:53:40 | 01.11.19 | 2 | 13.2 | 65 65 | 01.11.19 10:53:40 | 2019-11-01 10:53:40+01:00 |
34894878 | 34894878 | 10 | 10:52:51 | 01.11.19 | 1 | 0.7 | 65 65 | 01.11.19 10:52:51 | 2019-11-01 10:52:51+01:00 |
34892692 | 34892692 | 12 | 10:50:17 | 01.11.19 | 2 | 16.1 | 65 65 | 01.11.19 10:50:17 | 2019-11-01 10:50:17+01:00 |
34892691 | 34892691 | 7 | 10:50:13 | 01.11.19 | 2 | 5.6 | 65 65 | 01.11.19 10:50:13 | 2019-11-01 10:50:13+01:00 |
34892689 | 34892689 | 4 | 10:50:00 | 01.11.19 | 2 | 3.9 | 65 65 | 01.11.19 10:50:00 | 2019-11-01 10:50:00+01:00 |
34892690 | 34892690 | 5 | 10:50:00 | 01.11.19 | 2 | 2.4 | 65 65 | 01.11.19 10:50:00 | 2019-11-01 10:50:00+01:00 |
34892688 | 34892688 | 5 | 10:49:55 | 01.11.19 | 2 | 3.0 | 65 65 | 01.11.19 10:49:55 | 2019-11-01 10:49:55+01:00 |
34892687 | 34892687 | 7 | 10:47:35 | 01.11.19 | 2 | 6.5 | 65 65 | 01.11.19 10:47:35 | 2019-11-01 10:47:35+01:00 |
34894877 | 34894877 | 24 | 10:47:31 | 01.11.19 | 1 | 12.4 | 65 65 | 01.11.19 10:47:31 | 2019-11-01 10:47:31+01:00 |
34892686 | 34892686 | 4 | 10:46:07 | 01.11.19 | 2 | 2.5 | 65 65 | 01.11.19 10:46:07 | 2019-11-01 10:46:07+01:00 |
34894876 | 34894876 | 17 | 10:45:06 | 01.11.19 | 1 | 4.6 | 65 65 | 01.11.19 10:45:06 | 2019-11-01 10:45:06+01:00 |
34894875 | 34894875 | 16 | 10:44:43 | 01.11.19 | 1 | 25.5 | 65 65 | 01.11.19 10:44:43 | 2019-11-01 10:44:43+01:00 |
34894874 | 34894874 | 17 | 10:39:26 | 01.11.19 | 1 | 4.8 | 65 65 | 01.11.19 10:39:26 | 2019-11-01 10:39:26+01:00 |
34892685 | 34892685 | 21 | 10:35:07 | 01.11.19 | 2 | 16.1 | 65 65 | 01.11.19 10:35:07 | 2019-11-01 10:35:07+01:00 |
34894873 | 34894873 | 19 | 10:32:29 | 01.11.19 | 1 | 16.1 | 65 65 | 01.11.19 10:32:29 | 2019-11-01 10:32:29+01:00 |
34894872 | 34894872 | 5 | 10:31:34 | 01.11.19 | 1 | 0.7 | 65 65 | 01.11.19 10:31:34 | 2019-11-01 10:31:34+01:00 |
34892684 | 34892684 | 18 | 10:30:20 | 01.11.19 | 2 | 8.8 | 65 65 | 01.11.19 10:30:20 | 2019-11-01 10:30:20+01:00 |
34892683 | 34892683 | 17 | 10:28:50 | 01.11.19 | 2 | 7.5 | 65 65 | 01.11.19 10:28:50 | 2019-11-01 10:28:50+01:00 |
34892682 | 34892682 | 21 | 10:28:36 | 01.11.19 | 2 | 17.3 | 65 65 | 01.11.19 10:28:36 | 2019-11-01 10:28:36+01:00 |
34892681 | 34892681 | 26 | 10:25:46 | 01.11.19 | 2 | 13.8 | 65 65 | 01.11.19 10:25:46 | 2019-11-01 10:25:46+01:00 |
34894871 | 34894871 | 25 | 10:22:23 | 01.11.19 | 1 | 14.2 | 65 65 | 01.11.19 10:22:23 | 2019-11-01 10:22:23+01:00 |
34892680 | 34892680 | 19 | 10:19:22 | 01.11.19 | 2 | 7.4 | 65 65 | 01.11.19 10:19:22 | 2019-11-01 10:19:22+01:00 |
34892679 | 34892679 | 14 | 10:17:24 | 01.11.19 | 2 | 14.3 | 65 65 | 01.11.19 10:17:24 | 2019-11-01 10:17:24+01:00 |
34892678 | 34892678 | 13 | 10:17:21 | 01.11.19 | 2 | 10.6 | 65 65 | 01.11.19 10:17:21 | 2019-11-01 10:17:21+01:00 |
34894870 | 34894870 | 6 | 10:15:44 | 01.11.19 | 1 | 2.2 | 65 65 | 01.11.19 10:15:44 | 2019-11-01 10:15:44+01:00 |
34892677 | 34892677 | 14 | 10:15:20 | 01.11.19 | 2 | 5.5 | 65 65 | 01.11.19 10:15:20 | 2019-11-01 10:15:20+01:00 |
34894869 | 34894869 | 6 | 10:14:07 | 01.11.19 | 1 | 1.2 | 65 65 | 01.11.19 10:14:07 | 2019-11-01 10:14:07+01:00 |
34894868 | 34894868 | 8 | 10:14:03 | 01.11.19 | 1 | 6.2 | 65 65 | 01.11.19 10:14:03 | 2019-11-01 10:14:03+01:00 |
34892676 | 34892676 | 27 | 10:12:05 | 01.11.19 | 2 | 7.7 | 65 65 | 01.11.19 10:12:05 | 2019-11-01 10:12:05+01:00 |
34892675 | 34892675 | 22 | 10:11:06 | 01.11.19 | 2 | 13.2 | 65 65 | 01.11.19 10:11:06 | 2019-11-01 10:11:06+01:00 |
34892674 | 34892674 | 26 | 10:09:26 | 01.11.19 | 2 | 7.8 | 65 65 | 01.11.19 10:09:26 | 2019-11-01 10:09:26+01:00 |
34894867 | 34894867 | 18 | 10:09:05 | 01.11.19 | 1 | 11.7 | 65 65 | 01.11.19 10:09:05 | 2019-11-01 10:09:05+01:00 |
34892673 | 34892673 | 9 | 10:08:25 | 01.11.19 | 2 | 10.7 | 65 65 | 01.11.19 10:08:25 | 2019-11-01 10:08:25+01:00 |
34894866 | 34894866 | 27 | 10:07:16 | 01.11.19 | 1 | 13.6 | 65 65 | 01.11.19 10:07:16 | 2019-11-01 10:07:16+01:00 |
34892672 | 34892672 | 12 | 10:04:19 | 01.11.19 | 2 | 9.0 | 65 65 | 01.11.19 10:04:19 | 2019-11-01 10:04:19+01:00 |
34892671 | 34892671 | 6 | 10:00:16 | 01.11.19 | 2 | 4.5 | 65 65 | 01.11.19 10:00:16 | 2019-11-01 10:00:16+01:00 |
34892670 | 34892670 | 6 | 09:57:02 | 01.11.19 | 2 | 5.5 | 65 65 | 01.11.19 09:57:02 | 2019-11-01 09:57:02+01:00 |
34894865 | 34894865 | 27 | 09:56:35 | 01.11.19 | 1 | 13.0 | 65 65 | 01.11.19 09:56:35 | 2019-11-01 09:56:35+01:00 |
34892669 | 34892669 | 6 | 09:56:21 | 01.11.19 | 2 | 3.8 | 65 65 | 01.11.19 09:56:21 | 2019-11-01 09:56:21+01:00 |
34894864 | 34894864 | 20 | 09:56:10 | 01.11.19 | 1 | 4.3 | 65 65 | 01.11.19 09:56:10 | 2019-11-01 09:56:10+01:00 |
34892668 | 34892668 | 8 | 09:51:27 | 01.11.19 | 2 | 3.9 | 65 65 | 01.11.19 09:51:27 | 2019-11-01 09:51:27+01:00 |
34892667 | 34892667 | 32 | 09:50:32 | 01.11.19 | 2 | 19.3 | 65 65 | 01.11.19 09:50:32 | 2019-11-01 09:50:32+01:00 |
34892666 | 34892666 | 29 | 09:50:24 | 01.11.19 | 2 | 20.9 | 65 65 | 01.11.19 09:50:24 | 2019-11-01 09:50:24+01:00 |
34892665 | 34892665 | 27 | 09:50:22 | 01.11.19 | 2 | 7.9 | 65 65 | 01.11.19 09:50:22 | 2019-11-01 09:50:22+01:00 |
34892664 | 34892664 | 23 | 09:48:16 | 01.11.19 | 2 | 16.0 | 65 65 | 01.11.19 09:48:16 | 2019-11-01 09:48:16+01:00 |
34892663 | 34892663 | 7 | 09:47:05 | 01.11.19 | 2 | 3.2 | 65 65 | 01.11.19 09:47:05 | 2019-11-01 09:47:05+01:00 |
34894863 | 34894863 | 8 | 09:45:47 | 01.11.19 | 1 | 0.7 | 65 65 | 01.11.19 09:45:47 | 2019-11-01 09:45:47+01:00 |
34894862 | 34894862 | 8 | 09:45:46 | 01.11.19 | 1 | 1.7 | 65 65 | 01.11.19 09:45:46 | 2019-11-01 09:45:46+01:00 |
34894861 | 34894861 | 17 | 09:45:21 | 01.11.19 | 1 | 4.3 | 65 65 | 01.11.19 09:45:21 | 2019-11-01 09:45:21+01:00 |
34892662 | 34892662 | 28 | 09:44:51 | 01.11.19 | 2 | 16.3 | 65 65 | 01.11.19 09:44:51 | 2019-11-01 09:44:51+01:00 |
34892661 | 34892661 | 28 | 09:43:56 | 01.11.19 | 2 | 16.6 | 65 65 | 01.11.19 09:43:56 | 2019-11-01 09:43:56+01:00 |
34894860 | 34894860 | 19 | 09:43:39 | 01.11.19 | 1 | 5.0 | 65 65 | 01.11.19 09:43:39 | 2019-11-01 09:43:39+01:00 |
34894859 | 34894859 | 26 | 09:43:25 | 01.11.19 | 1 | 13.4 | 65 65 | 01.11.19 09:43:25 | 2019-11-01 09:43:25+01:00 |
34894858 | 34894858 | 24 | 09:40:43 | 01.11.19 | 1 | 16.0 | 65 65 | 01.11.19 09:40:43 | 2019-11-01 09:40:43+01:00 |
34892660 | 34892660 | 7 | 09:38:39 | 01.11.19 | 2 | 5.1 | 65 65 | 01.11.19 09:38:39 | 2019-11-01 09:38:39+01:00 |
34892659 | 34892659 | 25 | 09:34:07 | 01.11.19 | 2 | 9.1 | 65 65 | 01.11.19 09:34:07 | 2019-11-01 09:34:07+01:00 |
34892658 | 34892658 | 26 | 09:33:58 | 01.11.19 | 2 | 14.7 | 65 65 | 01.11.19 09:33:58 | 2019-11-01 09:33:58+01:00 |
34892657 | 34892657 | 29 | 09:33:40 | 01.11.19 | 2 | 18.1 | 65 65 | 01.11.19 09:33:40 | 2019-11-01 09:33:40+01:00 |
34892656 | 34892656 | 16 | 09:32:23 | 01.11.19 | 2 | 20.1 | 65 65 | 01.11.19 09:32:23 | 2019-11-01 09:32:23+01:00 |
34894857 | 34894857 | 18 | 09:32:13 | 01.11.19 | 1 | 3.9 | 65 65 | 01.11.19 09:32:13 | 2019-11-01 09:32:13+01:00 |
34892655 | 34892655 | 4 | 09:30:07 | 01.11.19 | 2 | 2.2 | 65 65 | 01.11.19 09:30:07 | 2019-11-01 09:30:07+01:00 |
34894856 | 34894856 | 19 | 09:29:56 | 01.11.19 | 1 | 11.1 | 65 65 | 01.11.19 09:29:56 | 2019-11-01 09:29:56+01:00 |
34892654 | 34892654 | 22 | 09:29:55 | 01.11.19 | 2 | 12.7 | 65 65 | 01.11.19 09:29:55 | 2019-11-01 09:29:55+01:00 |
34892653 | 34892653 | 19 | 09:28:56 | 01.11.19 | 2 | 15.0 | 65 65 | 01.11.19 09:28:56 | 2019-11-01 09:28:56+01:00 |
34894855 | 34894855 | 23 | 09:26:43 | 01.11.19 | 1 | 15.8 | 65 65 | 01.11.19 09:26:43 | 2019-11-01 09:26:43+01:00 |
34894854 | 34894854 | 23 | 09:26:39 | 01.11.19 | 1 | 16.6 | 65 65 | 01.11.19 09:26:39 | 2019-11-01 09:26:39+01:00 |
34892652 | 34892652 | 8 | 09:24:38 | 01.11.19 | 2 | 7.5 | 65 65 | 01.11.19 09:24:38 | 2019-11-01 09:24:38+01:00 |
34892651 | 34892651 | 17 | 09:23:19 | 01.11.19 | 2 | 7.9 | 65 65 | 01.11.19 09:23:19 | 2019-11-01 09:23:19+01:00 |
34892650 | 34892650 | 33 | 09:22:21 | 01.11.19 | 2 | 7.9 | 65 65 | 01.11.19 09:22:21 | 2019-11-01 09:22:21+01:00 |
34894853 | 34894853 | 27 | 09:18:43 | 01.11.19 | 1 | 18.9 | 65 65 | 01.11.19 09:18:43 | 2019-11-01 09:18:43+01:00 |
34894852 | 34894852 | 7 | 09:17:24 | 01.11.19 | 1 | 1.5 | 65 65 | 01.11.19 09:17:24 | 2019-11-01 09:17:24+01:00 |
34894851 | 34894851 | 29 | 09:17:10 | 01.11.19 | 1 | 5.2 | 65 65 | 01.11.19 09:17:10 | 2019-11-01 09:17:10+01:00 |
34892649 | 34892649 | 28 | 09:16:36 | 01.11.19 | 2 | 15.6 | 65 65 | 01.11.19 09:16:36 | 2019-11-01 09:16:36+01:00 |
34894850 | 34894850 | 20 | 09:14:29 | 01.11.19 | 1 | 13.2 | 65 65 | 01.11.19 09:14:29 | 2019-11-01 09:14:29+01:00 |
34894849 | 34894849 | 15 | 09:13:50 | 01.11.19 | 1 | 3.0 | 65 65 | 01.11.19 09:13:50 | 2019-11-01 09:13:50+01:00 |
34894848 | 34894848 | 17 | 09:13:02 | 01.11.19 | 1 | 11.8 | 65 65 | 01.11.19 09:13:02 | 2019-11-01 09:13:02+01:00 |
34892648 | 34892648 | 17 | 09:11:42 | 01.11.19 | 2 | 7.7 | 65 65 | 01.11.19 09:11:42 | 2019-11-01 09:11:42+01:00 |
34894847 | 34894847 | 32 | 09:09:33 | 01.11.19 | 1 | 11.7 | 65 65 | 01.11.19 09:09:33 | 2019-11-01 09:09:33+01:00 |
34892647 | 34892647 | 8 | 09:07:47 | 01.11.19 | 2 | 5.0 | 65 65 | 01.11.19 09:07:47 | 2019-11-01 09:07:47+01:00 |
34892646 | 34892646 | 20 | 09:03:54 | 01.11.19 | 2 | 25.5 | 65 65 | 01.11.19 09:03:54 | 2019-11-01 09:03:54+01:00 |
34892645 | 34892645 | 23 | 09:02:12 | 01.11.19 | 2 | 14.1 | 65 65 | 01.11.19 09:02:12 | 2019-11-01 09:02:12+01:00 |
34894846 | 34894846 | 15 | 09:01:42 | 01.11.19 | 1 | 6.1 | 65 65 | 01.11.19 09:01:42 | 2019-11-01 09:01:42+01:00 |
34894845 | 34894845 | 20 | 08:58:26 | 01.11.19 | 1 | 23.1 | 65 65 | 01.11.19 08:58:26 | 2019-11-01 08:58:26+01:00 |
34894844 | 34894844 | 29 | 08:55:29 | 01.11.19 | 1 | 14.4 | 65 65 | 01.11.19 08:55:29 | 2019-11-01 08:55:29+01:00 |
34892644 | 34892644 | 25 | 08:54:34 | 01.11.19 | 2 | 16.4 | 65 65 | 01.11.19 08:54:34 | 2019-11-01 08:54:34+01:00 |
34892643 | 34892643 | 23 | 08:53:21 | 01.11.19 | 2 | 6.8 | 65 65 | 01.11.19 08:53:21 | 2019-11-01 08:53:21+01:00 |
34892642 | 34892642 | 31 | 08:53:02 | 01.11.19 | 2 | 17.0 | 65 65 | 01.11.19 08:53:02 | 2019-11-01 08:53:02+01:00 |
34892641 | 34892641 | 8 | 08:52:06 | 01.11.19 | 2 | 7.1 | 65 65 | 01.11.19 08:52:06 | 2019-11-01 08:52:06+01:00 |
34892640 | 34892640 | 8 | 08:51:35 | 01.11.19 | 2 | 4.3 | 65 65 | 01.11.19 08:51:35 | 2019-11-01 08:51:35+01:00 |
34892639 | 34892639 | 4 | 08:50:18 | 01.11.19 | 2 | 2.0 | 65 65 | 01.11.19 08:50:18 | 2019-11-01 08:50:18+01:00 |
34894843 | 34894843 | 21 | 08:49:55 | 01.11.19 | 1 | 13.5 | 65 65 | 01.11.19 08:49:55 | 2019-11-01 08:49:55+01:00 |
34894842 | 34894842 | 23 | 08:49:12 | 01.11.19 | 1 | 11.6 | 65 65 | 01.11.19 08:49:12 | 2019-11-01 08:49:12+01:00 |
34894841 | 34894841 | 17 | 08:43:12 | 01.11.19 | 1 | 4.4 | 65 65 | 01.11.19 08:43:12 | 2019-11-01 08:43:12+01:00 |
34894840 | 34894840 | 18 | 08:43:05 | 01.11.19 | 1 | 4.4 | 65 65 | 01.11.19 08:43:05 | 2019-11-01 08:43:05+01:00 |
34894839 | 34894839 | 23 | 08:42:15 | 01.11.19 | 1 | 13.1 | 65 65 | 01.11.19 08:42:15 | 2019-11-01 08:42:15+01:00 |
34892638 | 34892638 | 22 | 08:41:44 | 01.11.19 | 2 | 15.6 | 65 65 | 01.11.19 08:41:44 | 2019-11-01 08:41:44+01:00 |
34894838 | 34894838 | 13 | 08:40:55 | 01.11.19 | 1 | 0.8 | 65 65 | 01.11.19 08:40:55 | 2019-11-01 08:40:55+01:00 |
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CREATE TABLE Einzelmessungen ( Geschwindigkeit INTEGER, Zeit TEXT, Datum TEXT, "Richtung ID" INTEGER, Fahrzeuglänge REAL, "Messung-ID" INTEGER, Datum_Zeit TEXT, Timestamp TEXT, FOREIGN KEY("Messung-ID") REFERENCES Kennzahlen_pro_Standort("ID") ON UPDATE CASCADE ON DELETE CASCADE ); CREATE INDEX idx_Einzelmessungen_timestamp ON "Einzelmessungen" ("Timestamp"); CREATE INDEX idx_Einzelmessungen_richtung_id ON "Einzelmessungen" ("Richtung ID"); CREATE INDEX idx_Einzelmessungen_messung_id ON "Einzelmessungen" ("Messung-ID"); CREATE INDEX idx_Einzelmessungen_datum ON "Einzelmessungen" ("Datum"); CREATE INDEX idx_Einzelmessungen_geschwindigkeit ON "Einzelmessungen" ("Geschwindigkeit");