Kielezo cha uaminifu wa waendeshaji
Jinsi kila mtandao wa chaji unavyochapisha hali ya moja kwa moja kwa madereva kwa uaminifu. Alama hutumia sehemu ya hali ya moja kwa moja, upatikanaji wa mlisho na adhabu ya hali iliyopitwa na wakati — kamwe si jina la mlisho.
Orodha hii inachapishwa chini ya Creative Commons Attribution 4.0 (CC BY 4.0). Tafadhali taja LiveChargeMap. CC BY 4.0 · Pakua kama CSV
· hukokotolewa upya kila siku
| Nafasi | Opereta | Vituo vya kuchaji | Alama | Sehemu ya hali ya moja kwa moja | Upatikanaji wa mlisho (siku 30) |
|---|---|---|---|---|---|
| 15,401 | Markus Schönwald | 1 | 45 | 0% | 87% |
| 15,402 | Markus Seitz | 1 | 45 | 0% | 87% |
| 15,403 | Markus Steinke e.K | 1 | 45 | 0% | 87% |
| 15,404 | Markus Straub | 1 | 45 | 0% | 87% |
| 15,405 | Markus Teelen | 1 | 45 | 0% | 87% |
| 15,406 | Markus Thies | 1 | 45 | 0% | 87% |
| 15,407 | Markus Vogel | 1 | 45 | 0% | 87% |
| 15,408 | Markus Wehrenberg | 1 | 45 | 0% | 87% |
| 15,409 | Markus Zimmermann | 1 | 45 | 0% | 87% |
| 15,410 | Marlies Geschka | 1 | 45 | 0% | 87% |
| 15,411 | Marlies Hundt | 1 | 45 | 0% | 87% |
| 15,412 | Marlies Lorenz | 1 | 45 | 0% | 87% |
| 15,413 | Martin Eberhardt | 1 | 45 | 0% | 87% |
| 15,414 | Martin Bavendiek | 1 | 45 | 0% | 87% |
| 15,415 | Martin Bindnagel | 1 | 45 | 0% | 87% |
| 15,416 | Martin Bollé | 1 | 45 | 0% | 87% |
| 15,417 | Martin Börner | 1 | 45 | 0% | 87% |
| 15,418 | Martin Diruf | 1 | 45 | 0% | 87% |
| 15,419 | Martin El Madani | 1 | 45 | 0% | 87% |
| 15,420 | Martin Elbers | 1 | 45 | 0% | 87% |
| 15,421 | Martin Emming | 1 | 45 | 0% | 87% |
| 15,422 | Martin Essig | 1 | 45 | 0% | 87% |
| 15,423 | Martin Fink | 1 | 45 | 0% | 87% |
| 15,424 | Martin Gringel Ingenieurbüro | 1 | 45 | 0% | 87% |
| 15,425 | Martin Hardes | 1 | 45 | 0% | 87% |
| 15,426 | Martin Hauk | 1 | 45 | 0% | 87% |
| 15,427 | Martin Hell | 1 | 45 | 0% | 87% |
| 15,428 | Martin Herde | 1 | 45 | 0% | 87% |
| 15,429 | Martin Hesse | 1 | 45 | 0% | 87% |
| 15,430 | Martin Heusinger | 1 | 45 | 0% | 87% |
| 15,431 | Martin Hock | 1 | 45 | 0% | 87% |
| 15,432 | Martin Häfner | 1 | 45 | 0% | 87% |
| 15,433 | Martin Janner | 1 | 45 | 0% | 87% |
| 15,434 | Martin Jaschkowitz | 1 | 45 | 0% | 87% |
| 15,435 | Martin Klein | 1 | 45 | 0% | 87% |
| 15,436 | Martin Knechtel | 1 | 45 | 0% | 87% |
| 15,437 | Martin Kostorz | 1 | 45 | 0% | 87% |
| 15,438 | Martin Kraft | 1 | 45 | 0% | 87% |
| 15,439 | Martin Krause | 1 | 45 | 0% | 87% |
| 15,440 | Martin Kröger | 1 | 45 | 0% | 87% |
| 15,441 | Martin Lechner, Pferdehof Anger | 1 | 45 | 0% | 87% |
| 15,442 | Martin Lehnert | 1 | 45 | 0% | 87% |
| 15,443 | Martin Lobpreis | 1 | 45 | 0% | 87% |
| 15,444 | Martin Mooser | 1 | 45 | 0% | 87% |
| 15,445 | Martin Oberdörfer-Schmidt | 1 | 45 | 0% | 87% |
| 15,446 | Martin Overkott | 1 | 45 | 0% | 87% |
| 15,447 | Martin Plein | 1 | 45 | 0% | 87% |
| 15,448 | Martin Pointner | 1 | 45 | 0% | 87% |
| 15,449 | Martin Pommer | 1 | 45 | 0% | 87% |
| 15,450 | Martin Rahmfeld | 1 | 45 | 0% | 87% |
| 15,451 | Martin Rauschmair | 1 | 45 | 0% | 87% |
| 15,452 | Martin Regnet | 1 | 45 | 0% | 87% |
| 15,453 | Martin Roesch | 1 | 45 | 0% | 87% |
| 15,454 | Martin Sautter | 1 | 45 | 0% | 87% |
| 15,455 | Martin Schaele | 1 | 45 | 0% | 87% |
| 15,456 | Martin Scheitor | 1 | 45 | 0% | 87% |
| 15,457 | Martin Schnabel & Sohn GmbH & Co.KG | 1 | 45 | 0% | 87% |
| 15,458 | Martin Schneider | 1 | 45 | 0% | 87% |
| 15,459 | Martin Schröder | 1 | 45 | 0% | 87% |
| 15,460 | Martin Sedlmaier | 1 | 45 | 0% | 87% |
| 15,461 | Martin Skrabak | 1 | 45 | 0% | 87% |
| 15,462 | Martin Tenbrock | 1 | 45 | 0% | 87% |
| 15,463 | Martin Walla | 1 | 45 | 0% | 87% |
| 15,464 | Martin Werner | 1 | 45 | 0% | 87% |
| 15,465 | Martin Zeh | 1 | 45 | 0% | 87% |
| 15,466 | Martina Goede | 1 | 45 | 0% | 87% |
| 15,467 | Martina Hart | 1 | 45 | 0% | 87% |
| 15,468 | Martina Kilian | 1 | 45 | 0% | 87% |
| 15,469 | Martina Noll | 1 | 45 | 0% | 87% |
| 15,470 | Martina Ott | 1 | 45 | 0% | 87% |
| 15,471 | Martina Peterburs | 1 | 45 | 0% | 87% |
| 15,472 | Martina Röse-Wagener | 1 | 45 | 0% | 87% |
| 15,473 | Martini's Kfz-Service GmbH & Co. KG | 1 | 45 | 0% | 87% |
| 15,474 | Marvin Bergmeier | 1 | 45 | 0% | 87% |
| 15,475 | Marvin Giordan | 1 | 45 | 0% | 87% |
| 15,476 | Marvin Neumann | 1 | 45 | 0% | 87% |
| 15,477 | Mary Lyka Nehlsen | 1 | 45 | 0% | 87% |
| 15,478 | Mathias Diesner | 1 | 45 | 0% | 87% |
| 15,479 | Mathias Dietel | 1 | 45 | 0% | 87% |
| 15,480 | Mathias Eggert | 1 | 45 | 0% | 87% |
| 15,481 | Mathias Gerhardt | 1 | 45 | 0% | 87% |
| 15,482 | Mathias Hüwe | 1 | 45 | 0% | 87% |
| 15,483 | Mathias Müller | 1 | 45 | 0% | 87% |
| 15,484 | Mathias Wohlfarth | 1 | 45 | 0% | 87% |
| 15,485 | Matthias Wulff | 1 | 45 | 0% | 87% |
| 15,486 | Matthias Andres | 1 | 45 | 0% | 87% |
| 15,487 | Matthias Bechberger | 1 | 45 | 0% | 87% |
| 15,488 | Matthias Benkel | 1 | 45 | 0% | 87% |
| 15,489 | Matthias Budak | 1 | 45 | 0% | 87% |
| 15,490 | Matthias Bäumer | 1 | 45 | 0% | 87% |
| 15,491 | Matthias Engel | 1 | 45 | 0% | 87% |
| 15,492 | Matthias Fehleisen | 1 | 45 | 0% | 87% |
| 15,493 | Matthias Fein | 1 | 45 | 0% | 87% |
| 15,494 | Matthias Friedel | 1 | 45 | 0% | 87% |
| 15,495 | Matthias Gamm | 1 | 45 | 0% | 87% |
| 15,496 | Matthias Geier-Bürsing | 1 | 45 | 0% | 87% |
| 15,497 | Matthias Groh | 1 | 45 | 0% | 87% |
| 15,498 | Matthias Gronewold | 1 | 45 | 0% | 87% |
| 15,499 | Matthias Gutjahr | 1 | 45 | 0% | 87% |
| 15,500 | Matthias Gutmann | 1 | 45 | 0% | 87% |
Waendeshaji 17,479 wamepewa ukadiriaji; faili ya CSV inayopakuliwa inaorodhesha wote.
Jinsi alama inavyokokotolewa
Kwa kila mwendeshaji mwenye mfumo wa data wa moja kwa moja unaoweza kutumika, alama ya kila siku ni
clamp(0, 100, round(100 × (0.50 × live_share + 0.40 × feed_uptime + 0.10 × (1 − stale_share))))
- Sehemu ya hali ya moja kwa moja — sehemu ya vituo vya kuchaji vyenye hali mpya (vinapatikana, vinatumika au havifanyi kazi, iliyoripotiwa ndani ya muda wa uchangamfu), kama ilivyo kwenye ukurasa wa takwimu. Ripoti zilizopitwa na wakati hazihesabiwi.
- Upatikanaji wa mlisho — katika siku 30 zilizopita, sehemu ya ulandanishi ulioratibiwa uliokamilika na kufanikiwa kwa milisho inayobeba vituo vya mwendeshaji huyu. Hatutaji jina la mlisho kamwe.
- Sehemu isiyopitwa na wakati — moja ukiondoa sehemu ya vituo vya kuchaji ambavyo hali yake ni ya zamani kuliko muda wa uchangamfu.
- Kila mwendeshaji mwenye mfumo wa data wa moja kwa moja hupewa daraja, hata awe mdogo kiasi gani: takwimu zinahesabu vituo vyake vyote vya kuchaji, si sampuli tu. Waendeshaji wenye data tuli ya rejista pekee na wasio na mfumo wa data wa moja kwa moja huonyeshwa kuwa hawajapewa daraja kwenye ukurasa wao wa ubora wa data, na hawajumuishwi katika orodha hii ya viwango.