Kedis ku xidhan hagaha · Dhexdhexaad Heerka

AI ee Kediska Hagaajinta Calaamadaha Taraafiga

Waxay hubisaa xoojinta-barashada dawladaha, abaal-marinnada ku salaysan dib-u-dhaca, isku-dubbaridka is-goysyada badan, jilitaanka iyo talooyinka calaamadaha magaalada.

Wadooyinka haga ee la xidhiidhaAI ee Hagaajinta Calaamadaha Taraafiga
Su'aal 1 ee 8

Waa maxay xaddidaadda ugu weyn ee calaamadaha taraafikada ee wakhti go'an?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay xaddidaadda ugu weyn ee calaamadaha taraafikada ee wakhti go'an?
    • Ma u dhigmi karaan wax aan la saadaalin karin, oo beddelaya baahida taraafikada ee adduunka dhabta ah
    • Koronto aad u badan ayay isticmaalaan
    • Waxay u baahan yihiin shaqaale bini'aadam ah mar kasta
    • Habeenkii uun bay shaqeeyaan
  2. Habka barashada mashiinka ayaa inta badan loo isticmaalaa in lagu barto siyaasadaha xakamaynta calaamadaha?
    • Jiilka sawirka
    • xoojinta barashada
    • shaandhaynta spamka
    • Isku dhafka hadalka
  3. Marka lagu jiro xoojinta barashada wakiilka taraafikada, waa maxay abaalgudka caadi ahaan ciqaabi?
    • Tirada laamiyada ee isgoyska
    • Midabka baabuurta
    • Daahitaanka baabuurka ama dhererka safka
    • Waqtiga maalinta
  4. Waa maxay sababta iskudubarid isgoysyo badan ay uga adag tahay tayaynta hal?
    • Isgoys kastaa wuxuu isticmaalaa shabag koronto oo kala duwan
    • Dareemayaasha ayaa kaliya ka shaqeeya waddooyinka go'doonsan
    • Ma jirto qaab lagu cabbiro gaadiidka u dhexeeya isgoysyada
    • Beddelka hal calaamad waxay saamaysaa socodka gaadiidka ee isgoysyada deriska ah
  5. Muxuu ahaa Google Mashruuca Cagaaran ee loogu talagalay inuu sameeyo?
    • Waxay ku taliyaan AI ay wado calaamadaha taraafigga ee waqtiga hagaajinta ee magaalooyinka
    • Samee baabuurta iswada
    • Ku beddel dhammaan nalalka taraafigga oo leh meelo wareeg ah
    • Iibi rukunsiyada navigation
  6. Waa maxay qalabka jilidda ee inta badan loo isticmaalo in lagu tababaro calaamadaha taraafigga AI wakiilada?
    • Xaashiyaha faafinta
    • Microsimulator taraafikada sida SUMO
    • Erayga farsameeya
    • Qaabka saadaasha cimilada
  7. Which observations may form the state of a reinforcement-learning traffic-signal agent?
    • Only the weather forecast
    • The driver’s social-media profile
    • Queue lengths, vehicle counts and the current signal phase
    • The total number of roads in the country
  8. What is one benefit of coordinating neighboring signal agents along a corridor?
    • They eliminate the need for sensors
    • They guarantee zero vehicle delay
    • They replace traffic laws with rewards
    • They can form green waves rather than optimize each intersection in isolation