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
>10,000 rows count all where Messung-ID = 58 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 ▲ |
---|---|---|---|---|---|---|---|---|---|
34907293 | 34907293 | 41 | 11:30:55 | 28.10.19 | 2 | 5.8 | 58 58 | 28.10.19 11:30:55 | 2019-10-28 11:30:55+01:00 |
34920224 | 34920224 | 38 | 11:30:31 | 28.10.19 | 1 | 4.4 | 58 58 | 28.10.19 11:30:31 | 2019-10-28 11:30:31+01:00 |
34907292 | 34907292 | 40 | 11:30:17 | 28.10.19 | 2 | 9.7 | 58 58 | 28.10.19 11:30:17 | 2019-10-28 11:30:17+01:00 |
34920223 | 34920223 | 37 | 11:29:46 | 28.10.19 | 1 | 5.1 | 58 58 | 28.10.19 11:29:46 | 2019-10-28 11:29:46+01:00 |
34920222 | 34920222 | 35 | 11:29:43 | 28.10.19 | 1 | 4.5 | 58 58 | 28.10.19 11:29:43 | 2019-10-28 11:29:43+01:00 |
34920221 | 34920221 | 39 | 11:29:40 | 28.10.19 | 1 | 4.6 | 58 58 | 28.10.19 11:29:40 | 2019-10-28 11:29:40+01:00 |
34920220 | 34920220 | 37 | 11:29:37 | 28.10.19 | 1 | 4.4 | 58 58 | 28.10.19 11:29:37 | 2019-10-28 11:29:37+01:00 |
34907291 | 34907291 | 24 | 11:29:34 | 28.10.19 | 2 | 25.5 | 58 58 | 28.10.19 11:29:34 | 2019-10-28 11:29:34+01:00 |
34907290 | 34907290 | 24 | 11:29:28 | 28.10.19 | 2 | 25.5 | 58 58 | 28.10.19 11:29:28 | 2019-10-28 11:29:28+01:00 |
34920219 | 34920219 | 22 | 11:29:18 | 28.10.19 | 1 | 3.0 | 58 58 | 28.10.19 11:29:18 | 2019-10-28 11:29:18+01:00 |
34920218 | 34920218 | 41 | 11:29:08 | 28.10.19 | 1 | 1.1 | 58 58 | 28.10.19 11:29:08 | 2019-10-28 11:29:08+01:00 |
34920217 | 34920217 | 9 | 11:29:06 | 28.10.19 | 1 | 2.0 | 58 58 | 28.10.19 11:29:06 | 2019-10-28 11:29:06+01:00 |
34920216 | 34920216 | 32 | 11:28:57 | 28.10.19 | 1 | 20.9 | 58 58 | 28.10.19 11:28:57 | 2019-10-28 11:28:57+01:00 |
34920215 | 34920215 | 32 | 11:28:47 | 28.10.19 | 1 | 3.8 | 58 58 | 28.10.19 11:28:47 | 2019-10-28 11:28:47+01:00 |
34907289 | 34907289 | 40 | 11:28:46 | 28.10.19 | 2 | 5.4 | 58 58 | 28.10.19 11:28:46 | 2019-10-28 11:28:46+01:00 |
34920214 | 34920214 | 42 | 11:28:24 | 28.10.19 | 1 | 4.1 | 58 58 | 28.10.19 11:28:24 | 2019-10-28 11:28:24+01:00 |
34920213 | 34920213 | 31 | 11:28:07 | 28.10.19 | 1 | 16.8 | 58 58 | 28.10.19 11:28:07 | 2019-10-28 11:28:07+01:00 |
34920212 | 34920212 | 31 | 11:28:05 | 28.10.19 | 1 | 25.5 | 58 58 | 28.10.19 11:28:05 | 2019-10-28 11:28:05+01:00 |
34907288 | 34907288 | 37 | 11:27:33 | 28.10.19 | 2 | 5.7 | 58 58 | 28.10.19 11:27:33 | 2019-10-28 11:27:33+01:00 |
34907287 | 34907287 | 19 | 11:27:10 | 28.10.19 | 2 | 1.3 | 58 58 | 28.10.19 11:27:10 | 2019-10-28 11:27:10+01:00 |
34907286 | 34907286 | 41 | 11:26:55 | 28.10.19 | 2 | 6.6 | 58 58 | 28.10.19 11:26:55 | 2019-10-28 11:26:55+01:00 |
34920211 | 34920211 | 40 | 11:26:49 | 28.10.19 | 1 | 3.9 | 58 58 | 28.10.19 11:26:49 | 2019-10-28 11:26:49+01:00 |
34920210 | 34920210 | 41 | 11:26:48 | 28.10.19 | 1 | 0.8 | 58 58 | 28.10.19 11:26:48 | 2019-10-28 11:26:48+01:00 |
34907285 | 34907285 | 30 | 11:26:28 | 28.10.19 | 2 | 5.5 | 58 58 | 28.10.19 11:26:28 | 2019-10-28 11:26:28+01:00 |
34907284 | 34907284 | 20 | 11:26:22 | 28.10.19 | 2 | 0.7 | 58 58 | 28.10.19 11:26:22 | 2019-10-28 11:26:22+01:00 |
34920209 | 34920209 | 36 | 11:26:07 | 28.10.19 | 1 | 6.2 | 58 58 | 28.10.19 11:26:07 | 2019-10-28 11:26:07+01:00 |
34920208 | 34920208 | 38 | 11:26:06 | 28.10.19 | 1 | 2.2 | 58 58 | 28.10.19 11:26:06 | 2019-10-28 11:26:06+01:00 |
34920207 | 34920207 | 35 | 11:26:02 | 28.10.19 | 1 | 5.4 | 58 58 | 28.10.19 11:26:02 | 2019-10-28 11:26:02+01:00 |
34907283 | 34907283 | 45 | 11:25:58 | 28.10.19 | 2 | 7.5 | 58 58 | 28.10.19 11:25:58 | 2019-10-28 11:25:58+01:00 |
34907282 | 34907282 | 26 | 11:25:50 | 28.10.19 | 2 | 13.8 | 58 58 | 28.10.19 11:25:50 | 2019-10-28 11:25:50+01:00 |
34907281 | 34907281 | 35 | 11:25:40 | 28.10.19 | 2 | 5.5 | 58 58 | 28.10.19 11:25:40 | 2019-10-28 11:25:40+01:00 |
34920206 | 34920206 | 38 | 11:25:38 | 28.10.19 | 1 | 4.5 | 58 58 | 28.10.19 11:25:38 | 2019-10-28 11:25:38+01:00 |
34920205 | 34920205 | 33 | 11:25:26 | 28.10.19 | 1 | 3.6 | 58 58 | 28.10.19 11:25:26 | 2019-10-28 11:25:26+01:00 |
34907280 | 34907280 | 30 | 11:24:56 | 28.10.19 | 2 | 6.8 | 58 58 | 28.10.19 11:24:56 | 2019-10-28 11:24:56+01:00 |
34920204 | 34920204 | 7 | 11:24:42 | 28.10.19 | 1 | 1.6 | 58 58 | 28.10.19 11:24:42 | 2019-10-28 11:24:42+01:00 |
34907279 | 34907279 | 30 | 11:24:28 | 28.10.19 | 2 | 9.5 | 58 58 | 28.10.19 11:24:28 | 2019-10-28 11:24:28+01:00 |
34920203 | 34920203 | 41 | 11:23:52 | 28.10.19 | 1 | 1.9 | 58 58 | 28.10.19 11:23:52 | 2019-10-28 11:23:52+01:00 |
34907278 | 34907278 | 7 | 11:23:37 | 28.10.19 | 2 | 2.9 | 58 58 | 28.10.19 11:23:37 | 2019-10-28 11:23:37+01:00 |
34920202 | 34920202 | 31 | 11:23:17 | 28.10.19 | 1 | 3.6 | 58 58 | 28.10.19 11:23:17 | 2019-10-28 11:23:17+01:00 |
34920201 | 34920201 | 32 | 11:23:14 | 28.10.19 | 1 | 4.3 | 58 58 | 28.10.19 11:23:14 | 2019-10-28 11:23:14+01:00 |
34920200 | 34920200 | 31 | 11:23:11 | 28.10.19 | 1 | 8.1 | 58 58 | 28.10.19 11:23:11 | 2019-10-28 11:23:11+01:00 |
34920199 | 34920199 | 29 | 11:23:07 | 28.10.19 | 1 | 3.6 | 58 58 | 28.10.19 11:23:07 | 2019-10-28 11:23:07+01:00 |
34920198 | 34920198 | 20 | 11:22:58 | 28.10.19 | 1 | 8.8 | 58 58 | 28.10.19 11:22:58 | 2019-10-28 11:22:58+01:00 |
34920197 | 34920197 | 13 | 11:22:55 | 28.10.19 | 1 | 25.5 | 58 58 | 28.10.19 11:22:55 | 2019-10-28 11:22:55+01:00 |
34920196 | 34920196 | 5 | 11:21:44 | 28.10.19 | 1 | 4.0 | 58 58 | 28.10.19 11:21:44 | 2019-10-28 11:21:44+01:00 |
34920195 | 34920195 | 7 | 11:21:37 | 28.10.19 | 1 | 0.9 | 58 58 | 28.10.19 11:21:37 | 2019-10-28 11:21:37+01:00 |
34907277 | 34907277 | 26 | 11:21:23 | 28.10.19 | 2 | 12.3 | 58 58 | 28.10.19 11:21:23 | 2019-10-28 11:21:23+01:00 |
34907276 | 34907276 | 24 | 11:21:21 | 28.10.19 | 2 | 25.5 | 58 58 | 28.10.19 11:21:21 | 2019-10-28 11:21:21+01:00 |
34907275 | 34907275 | 8 | 11:21:08 | 28.10.19 | 2 | 8.2 | 58 58 | 28.10.19 11:21:08 | 2019-10-28 11:21:08+01:00 |
34907274 | 34907274 | 41 | 11:20:13 | 28.10.19 | 2 | 7.6 | 58 58 | 28.10.19 11:20:13 | 2019-10-28 11:20:13+01:00 |
34907273 | 34907273 | 29 | 11:19:52 | 28.10.19 | 2 | 3.8 | 58 58 | 28.10.19 11:19:52 | 2019-10-28 11:19:52+01:00 |
34907272 | 34907272 | 17 | 11:19:26 | 28.10.19 | 2 | 20.3 | 58 58 | 28.10.19 11:19:26 | 2019-10-28 11:19:26+01:00 |
34920194 | 34920194 | 31 | 11:19:02 | 28.10.19 | 1 | 3.0 | 58 58 | 28.10.19 11:19:02 | 2019-10-28 11:19:02+01:00 |
34920193 | 34920193 | 28 | 11:18:32 | 28.10.19 | 1 | 4.0 | 58 58 | 28.10.19 11:18:32 | 2019-10-28 11:18:32+01:00 |
34920192 | 34920192 | 18 | 11:18:29 | 28.10.19 | 1 | 6.3 | 58 58 | 28.10.19 11:18:29 | 2019-10-28 11:18:29+01:00 |
34920191 | 34920191 | 32 | 11:17:33 | 28.10.19 | 1 | 3.5 | 58 58 | 28.10.19 11:17:33 | 2019-10-28 11:17:33+01:00 |
34920190 | 34920190 | 43 | 11:16:45 | 28.10.19 | 1 | 5.4 | 58 58 | 28.10.19 11:16:45 | 2019-10-28 11:16:45+01:00 |
34920189 | 34920189 | 45 | 11:16:44 | 28.10.19 | 1 | 1.1 | 58 58 | 28.10.19 11:16:44 | 2019-10-28 11:16:44+01:00 |
34920188 | 34920188 | 40 | 11:16:07 | 28.10.19 | 1 | 3.8 | 58 58 | 28.10.19 11:16:07 | 2019-10-28 11:16:07+01:00 |
34920187 | 34920187 | 48 | 11:16:01 | 28.10.19 | 1 | 4.9 | 58 58 | 28.10.19 11:16:01 | 2019-10-28 11:16:01+01:00 |
34920186 | 34920186 | 50 | 11:16:00 | 28.10.19 | 1 | 0.7 | 58 58 | 28.10.19 11:16:00 | 2019-10-28 11:16:00+01:00 |
34907271 | 34907271 | 36 | 11:15:58 | 28.10.19 | 2 | 4.9 | 58 58 | 28.10.19 11:15:58 | 2019-10-28 11:15:58+01:00 |
34907270 | 34907270 | 27 | 11:15:53 | 28.10.19 | 2 | 0.8 | 58 58 | 28.10.19 11:15:53 | 2019-10-28 11:15:53+01:00 |
34920185 | 34920185 | 28 | 11:15:49 | 28.10.19 | 1 | 3.7 | 58 58 | 28.10.19 11:15:49 | 2019-10-28 11:15:49+01:00 |
34920184 | 34920184 | 26 | 11:15:44 | 28.10.19 | 1 | 5.7 | 58 58 | 28.10.19 11:15:44 | 2019-10-28 11:15:44+01:00 |
34920183 | 34920183 | 29 | 11:15:40 | 28.10.19 | 1 | 9.0 | 58 58 | 28.10.19 11:15:40 | 2019-10-28 11:15:40+01:00 |
34920182 | 34920182 | 30 | 11:15:38 | 28.10.19 | 1 | 25.5 | 58 58 | 28.10.19 11:15:38 | 2019-10-28 11:15:38+01:00 |
34907269 | 34907269 | 22 | 11:15:07 | 28.10.19 | 2 | 5.4 | 58 58 | 28.10.19 11:15:07 | 2019-10-28 11:15:07+01:00 |
34907268 | 34907268 | 18 | 11:15:04 | 28.10.19 | 2 | 0.7 | 58 58 | 28.10.19 11:15:04 | 2019-10-28 11:15:04+01:00 |
34907267 | 34907267 | 27 | 11:14:59 | 28.10.19 | 2 | 9.8 | 58 58 | 28.10.19 11:14:59 | 2019-10-28 11:14:59+01:00 |
34907266 | 34907266 | 27 | 11:14:57 | 28.10.19 | 2 | 25.5 | 58 58 | 28.10.19 11:14:57 | 2019-10-28 11:14:57+01:00 |
34907265 | 34907265 | 33 | 11:14:38 | 28.10.19 | 2 | 6.7 | 58 58 | 28.10.19 11:14:38 | 2019-10-28 11:14:38+01:00 |
34907264 | 34907264 | 34 | 11:14:32 | 28.10.19 | 2 | 5.6 | 58 58 | 28.10.19 11:14:32 | 2019-10-28 11:14:32+01:00 |
34920181 | 34920181 | 38 | 11:14:18 | 28.10.19 | 1 | 3.6 | 58 58 | 28.10.19 11:14:18 | 2019-10-28 11:14:18+01:00 |
34907263 | 34907263 | 39 | 11:14:09 | 28.10.19 | 2 | 6.9 | 58 58 | 28.10.19 11:14:09 | 2019-10-28 11:14:09+01:00 |
34920180 | 34920180 | 29 | 11:14:02 | 28.10.19 | 1 | 3.1 | 58 58 | 28.10.19 11:14:02 | 2019-10-28 11:14:02+01:00 |
34907262 | 34907262 | 38 | 11:13:42 | 28.10.19 | 2 | 5.0 | 58 58 | 28.10.19 11:13:42 | 2019-10-28 11:13:42+01:00 |
34920179 | 34920179 | 42 | 11:13:36 | 28.10.19 | 1 | 4.7 | 58 58 | 28.10.19 11:13:36 | 2019-10-28 11:13:36+01:00 |
34920178 | 34920178 | 44 | 11:13:35 | 28.10.19 | 1 | 1.2 | 58 58 | 28.10.19 11:13:35 | 2019-10-28 11:13:35+01:00 |
34920177 | 34920177 | 39 | 11:13:33 | 28.10.19 | 1 | 4.3 | 58 58 | 28.10.19 11:13:33 | 2019-10-28 11:13:33+01:00 |
34920176 | 34920176 | 42 | 11:13:32 | 28.10.19 | 1 | 2.9 | 58 58 | 28.10.19 11:13:32 | 2019-10-28 11:13:32+01:00 |
34920175 | 34920175 | 42 | 11:13:20 | 28.10.19 | 1 | 6.2 | 58 58 | 28.10.19 11:13:20 | 2019-10-28 11:13:20+01:00 |
34920174 | 34920174 | 42 | 11:13:19 | 28.10.19 | 1 | 0.7 | 58 58 | 28.10.19 11:13:19 | 2019-10-28 11:13:19+01:00 |
34920173 | 34920173 | 30 | 11:13:06 | 28.10.19 | 1 | 3.7 | 58 58 | 28.10.19 11:13:06 | 2019-10-28 11:13:06+01:00 |
34920172 | 34920172 | 36 | 11:12:34 | 28.10.19 | 1 | 3.9 | 58 58 | 28.10.19 11:12:34 | 2019-10-28 11:12:34+01:00 |
34907261 | 34907261 | 35 | 11:12:15 | 28.10.19 | 2 | 7.0 | 58 58 | 28.10.19 11:12:15 | 2019-10-28 11:12:15+01:00 |
34907260 | 34907260 | 12 | 11:11:53 | 28.10.19 | 2 | 5.4 | 58 58 | 28.10.19 11:11:53 | 2019-10-28 11:11:53+01:00 |
34920171 | 34920171 | 46 | 11:11:35 | 28.10.19 | 1 | 10.4 | 58 58 | 28.10.19 11:11:35 | 2019-10-28 11:11:35+01:00 |
34907259 | 34907259 | 34 | 11:11:11 | 28.10.19 | 2 | 6.2 | 58 58 | 28.10.19 11:11:11 | 2019-10-28 11:11:11+01:00 |
34920170 | 34920170 | 35 | 11:11:05 | 28.10.19 | 1 | 3.6 | 58 58 | 28.10.19 11:11:05 | 2019-10-28 11:11:05+01:00 |
34907258 | 34907258 | 15 | 11:10:44 | 28.10.19 | 2 | 1.2 | 58 58 | 28.10.19 11:10:44 | 2019-10-28 11:10:44+01:00 |
34907257 | 34907257 | 8 | 11:10:40 | 28.10.19 | 2 | 0.7 | 58 58 | 28.10.19 11:10:40 | 2019-10-28 11:10:40+01:00 |
34907256 | 34907256 | 37 | 11:09:53 | 28.10.19 | 2 | 6.3 | 58 58 | 28.10.19 11:09:53 | 2019-10-28 11:09:53+01:00 |
34920168 | 34920168 | 32 | 11:09:26 | 28.10.19 | 1 | 3.0 | 58 58 | 28.10.19 11:09:26 | 2019-10-28 11:09:26+01:00 |
34920169 | 34920169 | 30 | 11:09:26 | 28.10.19 | 1 | 3.9 | 58 58 | 28.10.19 11:09:26 | 2019-10-28 11:09:26+01:00 |
34907255 | 34907255 | 35 | 11:09:13 | 28.10.19 | 2 | 6.3 | 58 58 | 28.10.19 11:09:13 | 2019-10-28 11:09:13+01:00 |
34920167 | 34920167 | 39 | 11:09:06 | 28.10.19 | 1 | 0.9 | 58 58 | 28.10.19 11:09:06 | 2019-10-28 11:09:06+01:00 |
34920166 | 34920166 | 40 | 11:08:28 | 28.10.19 | 1 | 9.0 | 58 58 | 28.10.19 11:08:28 | 2019-10-28 11:08:28+01:00 |
34907254 | 34907254 | 23 | 11:07:08 | 28.10.19 | 2 | 10.5 | 58 58 | 28.10.19 11:07:08 | 2019-10-28 11:07:08+01:00 |
34907253 | 34907253 | 21 | 11:07:05 | 28.10.19 | 2 | 25.5 | 58 58 | 28.10.19 11:07:05 | 2019-10-28 11:07:05+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");