Avtomobil avtomatizatsiyasi - Vehicular automation

To'liq avtomatizatsiyaga tayanadigan transport vositalari uchun qarang Vidalanmagan transport vositasi.
"aqlli mashina" bu erga yo'naltiradi. Evropa Komissiyasining siyosati uchun qarang Aqlli avtomobil tashabbusi.
The ESA Sinov paytida avtonom avtoulov qidiruvchisi Paranal.[1]

Avtomobil avtomatizatsiyasi dan foydalanishni o'z ichiga oladi mexatronika, sun'iy intellekt va ko'p agentlik tizimi yordam berish transport vositasi operatori. Ushbu xususiyatlar va ularni ishlatadigan transport vositalari quyidagicha etiketlanishi mumkin aqlli yoki aqlli. Avtomatlashtirishni qiyin vazifalar, ayniqsa navigatsiya uchun ishlatadigan transport vositasi deb atash mumkin yarim avtonom. Natijada faqat avtomatizatsiyaga tayanadigan transport vositasi deb ataladi robotlashtirilgan yoki avtonom. Ixtiro qilinganidan keyin integral mikrosxema, ning nafisligi avtomatlashtirish texnologiya oshdi. Keyinchalik ishlab chiqaruvchilar va tadqiqotchilar avtomobillar va boshqa transport vositalariga turli xil avtomatlashtirilgan funktsiyalarni qo'shdilar. Avtonom avtotransport vositalarini amalga oshirishda ishtirok etadigan texnologiya juda kengdir, bu transport vositasining o'zida texnologik takomillashtirishdan tortib, atrof-muhit va transport vositasi atrofidagi narsalarga qadar. Avtomatlashtirilgan transport vositalaridan foydalanishning ko'payishi bilan ular inson hayotida ta'sirchan bo'lib qolmoqda. Avtomatlashtirilgan transport vositalari turli xil foyda keltirishiga qaramay, u turli xil tashvishlarga ham ega. Bundan tashqari, avtonom avtoulovlar uni mustahkam va ko'lamini kengaytirish uchun kashfiyotni amalga oshirishga intilayotgan texnologik muammolar hali ham mavjud.

Umumiy nuqtai

Avtomatlashtirilgan tizim tizimi texnologiyasi iyerarxiyasi

Avtomatlashtirilgan haydash tizimi, odatda, individual shaxsning integral to'plamidir avtomatlashtirilgan tizimlar konsertda ishlash. Avtomatlashtirilgan haydash haydovchining transport vositasini avtomatlashtirish tizimiga haydash qobiliyatidan (ya'ni barcha tegishli nazorat, agentlik va harakat funktsiyalaridan) voz kechganligini anglatadi. Haydovchi hushyor va har qanday vaqtda harakat qilishga tayyor bo'lishi mumkin bo'lsa ham, avtomatizatsiya tizimi barcha funktsiyalarni boshqaradi.

Avtomatlashtirilgan haydash tizimlari ko'pincha shartli bo'lib, bu avtomatizatsiya tizimining avtomatlashtirilgan haydashga qodirligini anglatadi, ammo normal ishlash jarayonida yuzaga keladigan barcha sharoitlar uchun emas. Shu sababli, odam haydovchisidan avtomatlashtirilgan haydash tizimini ishga tushirish uchun funktsional ravishda talab qilinadi va haydash sharoitlari tizimning imkoniyatlariga to'g'ri kelganda buni amalga oshirishi mumkin yoki bo'lmasligi mumkin. Avtotransportni avtomatlashtirish tizimi barcha haydash funktsiyalarini o'z zimmasiga olganida, inson endi transport vositasini boshqarmaydi, lekin transport vositasining ishlashi uchun javobgarlikni o'z zimmasiga oladi. Avtomatlashtirilgan transport vositasi operatoridan avtomatizatsiya tizimi ishga tushirilganda transport vositasining ishlashini faol ravishda kuzatib borishi talab etilmaydi, ammo operator talab qilinganidan keyin bir necha soniya ichida haydashni davom ettirish uchun mavjud bo'lishi kerak, chunki tizim cheklangan avtomatizatsiya sharoitlariga ega. Avtomatlashtirilgan haydash tizimi ishga tushirilayotganda, ma'lum sharoitlar odamning real vaqt rejimida kirishiga to'sqinlik qilishi mumkin, lekin bir necha soniyadan oshmasligi kerak. Operator ushbu qisqa kechikish sharoitida istalgan vaqtda haydashni davom ettirishi mumkin. Operator barcha haydash funktsiyalarini tiklaganida, u transport vositasining haydovchisi maqomini tiklaydi.

Muxtoriyat darajalari

Asosiy maqola: O'z-o'zini boshqaradigan avtoulov § Tasniflash
Qo'shimcha ma'lumotlar: Poezdlarni avtomatik boshqarish § Poezdlarni avtomatlashtirish turlari

Avtotransport vositalarining avtonomligi ko'pincha oltita darajaga bo'linadi:[2] Darajali tizim avtomobil muhandislari jamiyati (SAE) tomonidan ishlab chiqilgan.[3]

  • 0-daraja: Avtomatizatsiya yo'q.
  • 1-daraja: Haydovchiga yordam berish - Avtomobil haydovchiga yordam berish uchun muayyan holatlarda boshqaruvni yoki tezlikni avtonom boshqarishi mumkin.
  • 2-daraja: Qisman avtomatlashtirish - Avtomobil haydovchiga yordam berish uchun muayyan sharoitlarda boshqaruvni ham, tezlikni ham avtonom boshqarishi mumkin.
  • 3-daraja: Shartli avtomatlashtirish - Avtomobil odatdagi atrof-muhit sharoitida boshqaruvni ham, tezlikni ham avtonom boshqarishi mumkin, ammo haydovchilar nazoratini talab qiladi.
  • 4-daraja: Yuqori avtomatizatsiya - transport vositasi haydovchining nazoratini talab qilmasdan, odatdagi atrof-muhit sharoitida avtonom ravishda sayohatni yakunlashi mumkin.
  • 5-daraja: To'liq avtonomiya - transport vositasi har qanday atrof-muhit sharoitida avtonom ravishda sayohatni yakunlashi mumkin.

Avtotransport avtomatizatsiyasida ishlatiladigan texnologiya

Avtonom avtotransport vositalarini amalga oshirishning asosiy vositasi Sun'iy intellekt. To'liq avtonom avtoulovlarni amalga oshirish uchun keyingi bosqichga o'tishdan oldin quyi darajadagi avtomatizatsiya sinovdan o'tkazilishi va amalga oshirilishi kerak.[4] Navigatsiya, to'qnashuvlarning oldini olish va boshqarish kabi avtonom tizimlarni amalga oshirish orqali avtonom avtotransport ishlab chiqaruvchilari avtomobilning turli xil tizimlarini loyihalashtirish va amalga oshirish orqali eng yuqori darajadagi avtonomiyalarga intilishadi.[4] Ushbu avtonom tizimlar sun'iy intellekt usullaridan foydalanish bilan bir qatorda avtonom transport vositalari boshqa har qanday avtonom tizim va jarayonlarni boshqarishi uchun sun'iy intellektning mashinani o'rganish aspektidan foydalanishi mumkin. Shunday qilib, avtonom avtotransport ishlab chiqaruvchilari avtonom avtoulovlarda amalga oshirish uchun tegishli sun'iy intellektni tadqiq qilmoqdalar va ishlab chiqmoqdalar.[5] Ushbu kompaniyalarning aksariyati o'zlarining avtonom avtotransport vositalariga tatbiq etiladigan texnologiyalarni doimiy ravishda ishlab chiqayotgan bo'lsalar-da, umumiy konsensus shundan iboratki, biz to'liq avtonom avtotransport vositalarini tatbiq etishga yaqin turishimizdan oldin texnologiya hali ham rivojlanib borishi kerak.[6]

Har qanday avtonom transport vositasining eng muhim tizimlaridan biri, shubhasiz, avtonomiyaning rivojlanishi uchun idrok etish tizimi to'liq ishlab chiqilgan va yaxshi sinovdan o'tgan bo'lishi kerak.[6] Avtonom avtotransport vositalarida idrok etish tizimini ishlab chiqish va amalga oshirish bilan avtonom avtotransport vositalarining xavfsizlik standartlarining ko'p qismi ushbu tizim tomonidan hal qilinmoqda, bu unga beg'araz urg'u beradi, chunki inson hayoti zarar etkazishi mumkin tizim ishlab chiqilishi kerak edi.[6] Idrok qilish tizimining asosiy maqsadi atrofdagi muhitni doimiy ravishda skanerlash va atrofdagi qaysi ob'ektlar transport vositalariga xavf tug'dirishini aniqlashdir.[6] Qaysidir ma'noda idrok etish tizimining asosiy maqsadi - haydovchiga xavflarni sezish va ular uchun haydovchiga ushbu xavflarni tayyorlashi yoki to'g'rilashiga imkon berish, odam tushunchasi singari harakat qilishdir.[6] Idrok etish tizimining aniqlash qismi nuqtai nazaridan radar, lidar, sonar va haqiqiy fotosurat kabi ko'plab echimlar aniqligi va muvofiqligi uchun sinovdan o'tkazilmoqda.[6]

Avtoulovning ushbu avtonom quyi tizimlarini rivojlantirish bilan avtonom avtotransport ishlab chiqaruvchilari allaqachon vositada yordamchi xususiyatlar sifatida ishlaydigan tizimlarni ishlab chiqdilar. Ushbu tizimlar sifatida tanilgan haydovchilarga yordam berishning ilg'or tizimlari va parallel to'xtash va favqulodda tormozlash kabi harakatlarni bajaradigan tizimlarni o'z ichiga oladi.[5] Ushbu tizimlar bo'ylab avtonom transport vositalarining rivojlanishida avtonom navigatsiya tizimlari rol o'ynaydi. Navigatsiya tizimini amalga oshirishda navigatsiyani amalga oshirishning ikkita usuli mavjud: bir transport vositasidan boshqasiga sezgirlik yoki infratuzilmani sezish.[5] Ushbu navigatsiya tizimlari bizda mavjud bo'lgan GPS kabi navigatsiya tizimlari bilan hamjihatlikda ishlaydi va marshrut ma'lumotlarini qayta ishlashda, tirbandliklar, yo'l haqlari va yo'llarni qurish kabi narsalarni aniqlay oladi. Ushbu ma'lumotdan so'ng, transport vositasi tegishli choralarni ko'rishi yoki hududni chetlab o'tishi yoki shunga muvofiq rejalashtirishi mumkin.[6] Shu bilan birga, ushbu usuldan foydalanish bilan bog'liq muammolar bo'lishi mumkin, masalan, eskirgan ma'lumotlar, bu holda transport vositasi infratuzilma kommunikatsiyalari doimo dolzarb ma'lumotlarga ega bo'lishida katta rol o'ynashi mumkin.[6] Buning bir misoli, transport vositasida ko'cha belgilarini va boshqa normativ belgilarni ko'rsatishi, bu esa transport vositasiga mavjud ma'lumotlarga asoslanib qaror qabul qilishga imkon beradi.[6]

Avtonom avtotransport vositalarining rivojlanishi bilan bir qatorda ushbu transport vositalarining aksariyati birinchi navbatda elektr bo'lishi kutilmoqda, ya'ni transport vositasining asosiy quvvat manbai fotoalbom yoqilg'iga emas, balki elektrga asoslangan bo'ladi.[4] Shu bilan birga avtonom avtotransport vositalarini ishlab chiqaruvchilarga ushbu transport vositasi bilan bog'liq barcha avtonom tizimlarni amalga oshirish uchun yuqori sifatli elektromobillar ishlab chiqarishga qo'shimcha talablar mavjud.[7] Biroq, zamonaviy transport vositalarining aksariyat qismi avtonom avtoulovlarda, masalan, avtomat uzatmalar qutisi va xavfsizlik yostig'i kabi operatorlarni himoya qilish uskunalarida foydalanish mumkin.[7]

Avtonom avtotransport vositalarini rivojlantirishni hisobga olgan holda, kompaniyalar rivojlanish nuqtai nazaridan operatorlarning afzalliklari va ehtiyojlarini hisobga olishmoqda. Ushbu misollar foydalanuvchiga vaqtni minimallashtirishga, aniq marshrutga borishga va operatorda yuzaga kelishi mumkin bo'lgan nogironliklarni qondirishga imkon berishdan iborat.[8] Avtonom avtoulovlar haydovchini joylashtirish bilan bir qatorda atrofdagi muhitga texnologik omilni kiritadi, odatda transport vositasi muhitida yuqori ulanish hissi zarur. Ushbu yangi omilni hisobga olgan holda, ko'plab shahar hukumatlari a aqlli shahar avtonom transport vositalari uchun etarli asosni ta'minlash uchun.[8] Avtotransport vositasini joylashtiradigan avtotransport vositasining ushbu yo'nalishlari bo'ylab ushbu avtonom avtotransport vositalaridan foydalanish uchun ushbu transport vositalaridan foydalanuvchi ham texnologik jihatdan bog'langan bo'lishi kerak. Smartfonlar paydo bo'lishi bilan avtonom avtoulovlar foydalanuvchi smartfoni yoki boshqa texnologik qurilma, masalan, smartfon bilan ushbu aloqani o'rnatishi mumkinligi taxmin qilinmoqda.[8]

Texnologiyada muvaffaqiyat

Yo'l harakati xavfsizligi uchun AAA fondi ikkita avtomatik favqulodda tormoz tizimining sinovini o'tkazdi: avariyalarni oldini olish uchun mo'ljallangan va avariyani unchalik og'ir bo'lmagan holatga keltirish. Sinov 2016 yilgi Volvo XC90, Subaru Legacy, Linkoln MKX, Honda Civic va Volkswagen Passat kabi mashhur modellarni ko'rib chiqdi. Tadqiqotchilar harakatlanuvchi va harakatsiz nishonga yaqinlashganda har bir tizim qanchalik yaxshi to'xtaganligini sinab ko'rishdi. Avariyalarning oldini olishga qodir tizimlar avtoulovlarning tezligini shunchaki avariyalarning og'irligini yumshatish uchun mo'ljallangan tizimlardan ikki baravarga kamaytirgan. Ikkita sinov vositasi bir-biridan 30 milya masofani bosib o'tganda, hatto avariya zo'ravonligini kamaytirishga mo'ljallangan avtomobillar ham avtohalokatning 60 foizidan saqlanishdi.[9]

Avtomatlashtirilgan haydash tizimidagi muvaffaqiyat qishloq yo'llari kabi holatlarda muvaffaqiyatli ekanligi ma'lum bo'ldi. Qishloq yo'l sozlamalari transport vositalarining kam miqdordagi va haydash qobiliyatlari va haydovchilar turlarining farqlanishini kamaytiradigan parametr bo'lishi mumkin. "Avtomatlashtirilgan funktsiyalarni ishlab chiqishdagi eng katta muammo bu hali ham shahar ichidagi trafikdir, bu erda yo'l harakati foydalanuvchilarining juda keng doirasini har tomondan ko'rib chiqish kerak." [10] Ushbu texnologiya avtomatlashtirilgan haydash avtomashinalarining avto-rejimdan haydovchi rejimiga o'tishning yanada ishonchli usuliga o'tmoqda. Avtomatik rejim - bu avtomatlashtirilgan harakatlarni qabul qilish uchun o'rnatiladigan rejim, haydovchi rejimi - operatorga avtomobilning barcha funktsiyalarini boshqarish va transport vositasini boshqarish vazifalarini o'z zimmasiga olish uchun o'rnatilgan rejim (Avtomatlashtirilgan haydash tizimi ishga tushirilmagan) ).

Ushbu ta'rif yaqin kelajakda mavjud bo'lishi mumkin bo'lgan transport vositalarini avtomatlashtirish tizimlarini, masalan, tirbandlikka yordam berish yoki to'liq masofali avtomatlashtirilgan kruiz nazorati kabi tizimlarni o'z ichiga oladi, agar bunday tizimlar inson operatori e'tiborni (kuzatishni) oqilona yo'naltiradigan tarzda ishlab chiqilgan bo'lsa. avtomatlashtirish tizimi ishga tushirilganda transport vositasining ishlashidan. Ushbu ta'rif shuningdek avtomatlashtirilgan vzvodlarni ham o'z ichiga oladi (masalan, SARTRE loyihasi tomonidan kontseptsiya qilingan).

SARTRE loyihasi

The SARTRE loyihaning asosiy maqsadi - qulaylik va transport vositasi haydovchisining manzilga xavfsiz etib borishi uchun imkoniyat yaratadigan, avtomatlashtirilgan vagonlar tarkibidagi vzvodni yaratish. Poyezd bo'ylab yurish qobiliyati bilan bir qatorda, ushbu vzvodlardan o'tib ketayotgan haydovchilar, vzvodni boshqaradigan yuk mashinasi bilan o'zaro bog'liq bo'lgan avtomatlashtirilgan haydash tizimining oddiy faollashuviga qo'shilishlari mumkin. The SARTRE loyiha biz bilgan narsalarni poezd tizimi sifatida qabul qiladi va avtomatlashtirilgan haydash texnologiyasi bilan aralashtiradi. Bu shaharlar orqali transportni osonlashtirishga va oxir-oqibat og'ir avtomobillar harakati orqali transport oqimiga yordam berishga mo'ljallangan.

Dunyoning ba'zi qismlarida o'zini o'zi boshqaradigan mashina Pitsburgdagi kabi hayotiy vaziyatlarda sinovdan o'tgan.[11] O'z-o'zini boshqaradigan Uber shahar atrofida sinovdan o'tkazildi, har xil turdagi haydovchilar bilan, shuningdek turli xil yo'l harakati holatlarida haydash. Avtomatlashtirilgan avtomashinaning nafaqat sinovlari va muvaffaqiyatli qismlari bor, balki Kaliforniyada avtomatlashtirilgan avtobuslarda keng sinovlar o'tkazildi. Avtomatlashtirilgan avtobuslarni lateral boshqarishda San-Diyegodagi vzvod kabi magnit markerlar, avtomatlashtirilgan yuk mashinalari vzvodining uzunlamasına boshqaruvida esa millimetr to'lqinli radio va radiolokatsion radiokanal ishlatiladi. Bugungi jamiyat atrofida mavjud bo'lgan misollarga quyidagilar kiradi Google avtomobili va Tesla modellari. Tesla avtomatlashtirilgan haydashni qayta ishlab chiqdi, ular haydovchilarni belgilangan joyga qo'yib, avtomobilni o'z zimmasiga olishlariga imkon beradigan avtomobil modellarini yaratdilar. Bu avtomatlashtirilgan avtomashinalar tizimining zamonaviy ikki namunasi.

Xatarlar va majburiyatlar

Shuningdek qarang: Kompyuter xavfsizligi § Avtomobillar va Avtonom avtoulov uchun javobgarlik

Kabi ko'plab avtomobil ishlab chiqaruvchilari Ford va Volvo kelajakda to'liq avtomatlashtirilgan avtomashinalarni taqdim etish rejalarini e'lon qildi.[12] Avtomatlashtirilgan haydash tizimlarida keng ko'lamli tadqiqotlar va ishlanmalar olib borilmoqda, ammo avtoulovlarni boshqarolmaydigan eng katta muammo haydovchilar tizimdan qanday foydalanishi.[12] Haydovchilar ehtiyotkorlik bilan harakat qilishlari kerakligi va haydovchiga ogohlantirish uchun xavfsizlik choralari to'g'risida ogohlantirishlar qo'llanilishi kerak.[13] Tesla Motor Tesla Model S avtomatlashtirilgan haydash tizimining o'limiga olib kelgan bitta voqea sodir bo'lgan.[14] Voqea sodir bo'lganligi to'g'risidagi hisobotda avtohalokat haydovchining beparvoligi va avtopilot tizimi oldidagi to'siqni tan olmasligi natijasida sodir bo'lganligi aniqlandi.[14]

Avtomatlashtirilgan haydash tizimlarining yana bir kamchiliklari shundaki, ob-havo yoki boshqalarning haydash xatti-harakatlari kabi oldindan aytib bo'lmaydigan hodisalar transport vositasining atrofini kuzatib turuvchi datchiklar tufayli o'limga olib keladigan baxtsiz hodisalarga olib kelishi mumkin.[13]

Avtomatlashtirilgan haydash tizimlari uchun ba'zi qiyinchiliklarni engish uchun virtual sinov, trafik oqimini simulyatsiya qilish va raqamli prototiplarga asoslangan yangi metodikalar taklif qilindi;[15] ayniqsa, sun'iy intellekt yondashuvlariga asoslangan yangi algoritmlardan foydalanilganda, ular keng ko'lamli tayyorgarlik va tasdiqlash ma'lumotlarini talab qiladi.

Avtomatlashtirilgan haydash tizimlarini tatbiq etish shahar sharoitida qurilish muhitini o'zgartirish imkoniyatini yaratadi, masalan, harakatlanish qulayligi oshgani sababli shahar atrofini kengaytirish.[4]

Qiyinchiliklar

Taxminan 2015 yilda bir nechta o'z-o'zini boshqaradigan avtomobil ishlab chiqaruvchi kompaniyalar, shu jumladan Nissan va Toyota 2020 yilda o'z-o'zini boshqaradigan mashinalarga va'da berishdi. Biroq, bashoratlar juda optimistik bo'lib chiqdi.[16]

Har qanday sharoitda ishlashga qodir bo'lgan 5-darajali avtonom avtoulovlarni ishlab chiqarishda hali ko'p to'siqlar mavjud. Hozirgi vaqtda kompaniyalar ma'lum ekologik sharoitlarda ishlashga qodir bo'lgan 4-darajali avtomatlashtirishga e'tibor qaratmoqdalar.[16]

Avtonom transport vositasi qanday bo'lishi kerakligi haqida hali ham tortishuvlar mavjud. Masalan, lidarni avtonom haydash tizimlariga qo'shish kerakmi, hali ham muhokama qilinmoqda. Ba'zi tadqiqotchilar lidar ko'rsatkichlari bilan raqobatbardosh ko'rsatkichlarga erishish uchun faqatgina kameralar ma'lumotlaridan foydalangan holda algoritmlarni ishlab chiqdilar. Boshqa tomondan, faqat kameralardagi ma'lumotlar ba'zan noto'g'ri cheklov qutilarini tortadi va shu bilan yomon bashoratlarga olib keladi. Bu stereo kameralar tomonidan taqdim etiladigan yuzaki ma'lumotlarning tabiati bilan bog'liq bo'lib, lidarni o'z ichiga olgan avtonom transport vositalariga transport vositasining har bir nuqtasiga aniq masofani beradi.[16]

Texnik muammolar

  • Dastur integratsiyasi: avtonom avtotransport vositalari talab qiladigan juda ko'p sonli sensorlar va xavfsizlik jarayonlari tufayli dasturiy ta'minotni integratsiya qilish qiyin vazifa bo'lib qolmoqda. Sog'lom avtonom vosita apparat va dasturiy ta'minotni birlashtirishi komponentlarning ishdan chiqishini tiklashini ta'minlashi kerak.[17]
  • Avtonom avtotransport vositalarining bashorati va ishonchi: To'liq avtonom avtoulovlar odamlar kabi boshqa avtoulovlarning harakatlarini oldindan bilishi kerak. Inson haydovchilari boshqa haydovchilarning xatti-harakatlarini bashorat qilishda juda yaxshi, hatto ko'z bilan aloqa qilish yoki qo'l imo-ishoralari kabi ozgina ma'lumotlarga ega. Birinchi navbatda, avtoulovlar yo'l harakati qoidalari to'g'risida kelishib olishlari kerak, ularning navbati chorrahada harakatlanish va hokazo. Ko'proq noaniqliklar tufayli odam boshqaradigan mashinalar va o'z-o'zini boshqaradigan mashinalar mavjud bo'lganda, bu katta muammoga aylanadi. Kuchli avtonom transport vositasi ushbu muammoni hal qilish uchun atrof-muhitni tushunishni yaxshilashi kutilmoqda.[17]
  • Miqyosni oshirish: avtonom avtotransport vositalarini sinovdan o'tkazish yoritilishi etarlicha aniq bo'lishi mumkin emas. Qattiq tirbandlik va to'siqlar mavjud bo'lgan hollarda, bu tezroq javob berish vaqtini yoki avtonom transport vositalaridan yaxshiroq kuzatuv algoritmlarini talab qiladi. Ko'rinmaydigan narsalarga duch kelganda, algoritmlar ushbu moslamalarni kuzatishi va to'qnashuvlarning oldini olishi muhimdir.[17]

Ijtimoiy muammolar

Avtonom avtoulovlarni amalga oshirishga erishish uchun muhim qadamlardan biri bu keng jamoatchilik tomonidan qabul qilinishi. Bu muhim doimiy izlanishdir, chunki u avtomobilsozlik sanoatining dizayni va texnologiyasini takomillashtirish bo'yicha ko'rsatmalar beradi. Tadqiqotlar shuni ko'rsatdiki, ko'p odamlar avtonom transport vositalaridan foydalanish xavfsizroq deb hisoblashadi, bu esa avtoulov kompaniyalari avtonom avtoulovlarning xavfsizligini yaxshilashga ishontirishlari zarurligini ta'kidlaydi. TAM tadqiqot modeli iste'molchining qabul qilinishiga ta'sir qiluvchi muhim omillarni quyidagilarga ajratadi: foydalilik, foydalanishda qulaylik, ishonch va ijtimoiy ta'sir.[18]

  • Avtonom avtotransport vositalarining foydaliligini yoki yo'qligini, foydali narsalar omili iste'molchilarning vaqtini tejaydigan va ularning hayotini soddalashtiradigan foyda keltirishi bilan o'rganadi. Iste'molchilar avtonom transport vositalarining boshqa transport echimlari bilan taqqoslaganda foydali bo'lishiga qanchalik ishonishlarini belgilovchi omil hisoblanadi.[18]
  • Faktorni ishlatish qulayligi avtonom transport vositalarining qulayligini o'rganadi. Iste'molchilar xavfsizlikni emas, balki ulardan foydalanish qulayligi haqida ko'proq g'amxo'rlik qilishadi degan tushunchani rad etishgan bo'lsa-da, bu hali ham avtonom avtotransport vositalaridan foydalanish niyatiga bilvosita ta'sir ko'rsatadigan muhim omil bo'lib qolmoqda.[18]
  • Ishonch faktori avtonom transport vositalarining xavfsizligi, ma'lumotlarning maxfiyligi va xavfsizligini himoya qilishni o'rganadi. Ishonchli tizim iste'molchining avtonom transport vositalaridan foydalanish qaroriga ijobiy ta'sir ko'rsatadi.[18]
  • Ijtimoiy ta'sir faktori boshqalarning ta'siri iste'molchining avtonom avtoulovlarga ega bo'lish ehtimoliga ta'sir qiladimi yoki yo'qligini o'rganadi. Tadqiqotlar shuni ko'rsatdiki, ijtimoiy ta'sir qiluvchi omil xatti-harakatlar niyati bilan ijobiy bog'liqdir. Buning sababi shundaki, mashinalar an'anaviy ravishda shaxsning foydalanish niyati va uning ijtimoiy muhitini ifodalovchi maqom belgisi sifatida xizmat qiladi.[18]

Normativ muammolar

Avtonom avtotransport vositalarini real vaqtda sinovdan o'tkazish bu jarayonning muqarrar qismidir. Shu bilan birga, avtoulovlarni avtomatlashtirishni tartibga soluvchi organlar jamoat xavfsizligini himoya qilish bilan bog'liq muammolarga duch kelmoqdalar va shu bilan birga avtonom transport kompaniyalariga o'z mahsulotlarini sinovdan o'tkazishga imkon berishadi. Avtonom avtotransport kompaniyalarining vakili bo'lgan guruhlar aksariyat qoidalarga qarshilik ko'rsatmoqda, zaif yo'l harakati qatnashchilari va yo'l harakati xavfsizligi vakili guruhlari tartibga soluvchi to'siqlarni talab qilmoqda. Yo'l harakati xavfsizligini yaxshilash uchun regulyatorlar avtonom avtotransport kompaniyalariga o'z tizimlarining amalga oshirilishini sinovdan o'tkazishga imkon berib, jamoatchilikni yetilmagan texnologiyalardan himoya qiladigan o'rta yo'lni topishga da'vat etiladi.[19]

Yer usti transport vositalari

Qo'shimcha ma'lumotlar: Uchuvchisiz yer usti transport vositalari

Avtomatizatsiyadan foydalanadigan er usti transport vositalari va teleoperatsiya kemasozlik portlari, kon qazish yuk mashinalari, bomba yo'q qiluvchi robotlar, robot hasharotlar va boshqalarni o'z ichiga oladi haydovchisiz traktorlar.

Yo'lovchilarni tashish uchun ko'plab avtonom va yarim avtonom yer usti transport vositalari ishlab chiqarilmoqda. Bunday misollardan biri bu panjara bo'yicha bepul (FROG ) avtonom avtotransport vositalari, magnit yo'l va nazorat tizimidan iborat texnologiya. FROG tizimi sanoat maqsadlarida zavod maydonchalarida joylashtirilgan va 1999 yildan buyon foydalanib kelinmoqda ParkShuttle, a PRT shahridagi jamoat transporti tizimi Capelle aan den IJssel Rivium biznes parkini qo'shni shahar bilan bog'lash uchun Rotterdam (bu erda marshrut tugaydi Kralingse kattalashtirish metro stantsiyasi). Tizim 2005 yilda halokatga uchradi[20] inson xatosi tufayli kelib chiqqanligi isbotlangan.[21]

Yer usti transport vositalarida avtomatlashtirish uchun arizalarga quyidagilar kiradi:

Tadqiqotlar davom etmoqda va avtonom avtoulovlarning prototiplari mavjud.

Avtomobillar

Shuningdek qarang: O'z-o'zini boshqaradigan mashina

Avtoulovlarni keng avtomatlashtirish ikkala joriy etishga qaratilgan robotlashtirilgan mashinalar yoki zamonaviy avtoulovlarning dizaynlarini yarim avtonom bo'lishini o'zgartirish.

Yarim avtonom dizaynlarni tezroq amalga oshirish mumkin edi, chunki ular hali ham tadqiqotlarning boshida turgan texnologiyalarga kam ishonadilar. Bunga misol qilib ikki tomonlama monoray yo'lni keltirish mumkin. Kabi guruhlar RUF (Daniya) va TriTrack (AQSh) odatdagi yo'llarda qo'lda harakatlanadigan, shuningdek avtonom tarzda harakatlanadigan monoray yo'l / yo'lakchaga ulanadigan ixtisoslashgan xususiy avtomobillardan iborat loyihalar ustida ishlamoqda.

Avtoulovlarni avtoulovlarni avtomatlashtirish usuli sifatida avtoulovlarni keng o'zgartirmasdan robotlashtirilgan mashina, Avtomatlashtirilgan avtomagistral tizimlari (AHS) magistral yo'llarda, masalan, transport vositalarini boshqarish uchun magnit bilan jihozlangan yo'llarni qurishga qaratilgan. Avtomatizatsiya vositalarida avtotransport vositalarining tormozlash tizimi (AVBS) deb nomlangan avtotormozlar mavjud. Magistral yo'l kompyuterlari avtoulovlarni boshqaradi va avtohalokatlarni oldini olish uchun avtoulovlarni boshqaradi.

2006 yilda The Evropa komissiyasi deb nomlangan aqlli avtomobillarni ishlab chiqish dasturini yaratdi Intelligent Car flagship tashabbusi.[22] Ushbu dasturning maqsadlariga quyidagilar kiradi:

Avtomashinalarga nisbatan avtomatlashtirish uchun ko'proq foydalanish imkoniyatlari mavjud. Bunga quyidagilar kiradi:

Shuningdek, Singapur 2019 yil 31 yanvarda avtonom avtotransport sanoatiga rahbarlik qilish uchun vaqtinchalik milliy standartlar to'plamini e'lon qildi. Texnik ma'lumotnoma 68 (TR68) deb nomlanuvchi standartlar Singapurda to'liq haydovchisiz transport vositalarining xavfsiz joylashuviga yordam beradi, deyiladi Enterprise Singapore (ESG), quruqlik transporti boshqarmasi (LTA), standartlarni ishlab chiqish tashkiloti va Singapur standartlari qo'shma press-relizida. Kengash (SSC).[25]

Umumiy avtonom transport vositalari

Avtonom avtoulovlarning so'nggi rivojlanishidan so'ng, umumiy avtonom transport vositalari endi odatdagi trafikda ichki yo'riqnomalarga ehtiyoj sezmasdan yurish imkoniyatiga ega. Hozirgacha asosiy e'tibor past tezlikka, soatiga 20 milya (soatiga 32 km), "so'nggi mil" sayohat uchun qisqa va qat'iy yo'nalishlarga ega bo'lgan. Bu shuni anglatadiki, odatdagi transport vositalarining ishlash ko'rsatkichlariga mos kelishga intilayotgan avtomatlashtirilgan avtomashinalarnikiga qaraganda to'qnashuvni oldini olish va xavfsizlik masalalari unchalik qiyin emas. 2020 yil avgust oyida 25 avtonom avtoulov ishlab chiqaruvchilari borligi haqida xabar berildi [26]shu jumladan ParkShuttle, Mahalliy Motors "Olli" va Apolong.

Ushbu harakatlar yonida, olma Xabar qilinishicha, mavjud avtomobil ishlab chiqaruvchisi transport vositasi asosida xodimlarni Palo Altodagi ofislari o'rtasida o'tkazish uchun avtonom avtoulovni ishlab chiqarmoqda. Infinite Loop, Kupertino. "PAIL" deb nomlangan loyiha, o'z yo'nalishlariga ko'ra, 2017 yil avgustida Apple avtonom avtoulovlarni ishlab chiqarishni tark etganini e'lon qilganida paydo bo'ldi.[27]

Sinovlar

2016 yildan buyon ko'plab sinovlar o'tkazilib kelinmoqda, ularning aksariyati qisqa vaqt ichida va samolyotda konduktor bilan faqat bitta transport vositasini o'z ichiga olgan. Sinovlarning maqsadi ham texnik ma'lumotlarni taqdim etish, ham haydovchini kamroq texnologiyalar bilan jamoatchilikni tanishtirish edi. 2018 yil iyul oyida Xitoy qidiruvi Baidu avtonom avtobusini namoyish qildi "Apolong ", Kinglong tomonidan ishlab chiqarilgan va 40 ta transmilliy kompaniyalar, shu jumladan konsortsium tomonidan ishlab chiqilgan BMW, Baidu va Intel.[28] Bu birinchi ommaviy ishlab chiqarilgan avtonom avtobus bo'lishi kutilmoqda.[29]

Ushbu ro'yxat to'liqsiz; yordam berishingiz mumkin etishmayotgan narsalarni qo'shish bilan ishonchli manbalar.
Kompaniya / joylashuviTafsilotlar
EasyMileEasyMile-da uzoq muddatli sinovlar mavjud Vageningen universiteti va Lozanna shuningdek qisqa sinovlar Darvin,[30] Dubay, Xelsinki, San-Sebastyan, Sofiya Antipolis, Bordo,[31] Tapei[32] va AQShning beshta shahri bo'ylab sayohat.[33] 2017 yil dekabr oyida sud jarayoni boshlandi Denver yo'lning ajratilgan qismida soatiga 5 mil (8.0 km / soat) tezlikda harakatlanish.[34] EasyMile AQShning 10 shtatida, shu jumladan Kaliforniya, Florida, Texas, Ogayo, Yuta va Virjiniyada ishlagan, AQSh xizmati 2020 yil fevral oyida jarohat olganidan keyin to'xtatilgan edi.[35]
NavyaNavya 2017 yil may oyida Evropa bo'ylab deyarli 150 ming yo'lovchini tashiganini da'vo qildi[36] sinovlar bilan Sion, Kyoln, Lion, Doha, Bordo va atom elektr stansiyasi Civaux shu qatorda; shu bilan birga Las-Vegas[37] va Pert.[38] Boshqa sinovlar rejalashtirilgan Michigan universiteti 2017 yilning kuzida[39] va La Trobe universiteti.[40]
Keyingi-kelajakSoatiga 12 milya (soatiga 19 km) bo'lgan o'nta yo'lovchi (oltita o'tirgan), avtobus yaratish uchun birlashishga qodir bo'lgan avtonom podalar namoyish etildi. Butunjahon hukumat sammiti Namoyish Next-Future va Dubay yo'llar va transport boshqarmasi bilan hamkorlikda bo'lib, transport vositalarini u erga joylashtirish uchun ko'rib chiqilmoqda.[41]
OlliOlli sinovdan o'tkazildi Vashington 2016 yil oxirida va Las-Vegas va Mayamida sud qilinishi kerak edi.[42]
RDM guruhi2017 yil oktyabr oyida RDM Group Trumpington Park va Ride va to'rtta o'rindiqli transport vositalari bilan sinov xizmatini boshladi Kembrij temir yo'l stantsiyasi yo'naltirilgan avtoulov bo'ylab, odatdagi avtobus qatnovi har kuni to'xtatilgandan so'ng, ishdan keyingi xizmat sifatida foydalanish mumkin.[43]
GATEway loyihasiTomonidan bir qator sinovlar GATEway loyihasi o'tkazildi Grinvich London janubida 2017 va 2018 yillarda [44][45]
ParkshuttleSinovlar 2020 yilda Dubayga joylashtirilishidan oldin davom etmoqda. Muvaffaqiyatli iqlim sinovi 2017 yil noyabr oyida yakunlandi.[46] Sinovlar, shuningdek, 2getthere kompaniyasining uchinchi avlod Parkshuttle-da rejalashtirilgan Singapur.[47]
Texas A&M2017 yil avgust oyida haydovchisiz to'rt o'rindiqli transport vositasi sudga berildi Texas A&M talabalar shaharchasida akademiklar va talabalar tomonidan amalga oshiriladigan loyihada "Transport texnologiyalari tashabbusi" doirasida universitet. Ular umid qilishlaricha, 2017 yilda talabalar shaharchasida 15 marshrutlar ishlaydi.[48][49]
Apollon (Apolong) - Baidu / Kinglong2018 yil iyul oyida haydovchisiz sakkiz kishilik transport avtobusi 2018 yilda sud qilindi Shanxay tomonidan boshlangan avtonom avtotransport loyihasi - Apollon loyihasi doirasida Xiamen va Chonging shaharlaridagi sinovlardan so'ng ko'rgazma. Baidu. Apolong (inglizcha nomi: Apollon) avtonom avtobusini ishlab chiqargan konsortsium tarkibiga 10 000 ishlab chiquvchi tomonidan ishlab chiqarilgan ochiq manbali texnologiya va 40 ta transmilliy kompaniyalar, shu jumladan Mercedes Benz, XTE, Baidu, Intel, Softbank, Kinglong va BMW.[50][51][52]
Transurban2018 yil 20 mart kuni Yangi Janubiy Uels hukumati va Transurban kompaniyasi haydovchisiz texnologiyani sinovdan o'tkazishni boshlashlarini ma'lum qildi M2 Hills avtomobil yo'li Sidney NSW Avstraliyada. "Xaritalar sinovi" deb hisoblanadi, chunki avtoulovlarni har doim odam boshqaradi.[53]

Rejalashtirilgan foydalanish

2017 yil yanvar oyida bu e'lon qilindi ParkShuttle Niderlandiyadagi tizim yangilanadi va kengaytiriladi, shu jumladan avtoulovlar oddiy yo'llarda aralash trafikda harakatlanishi uchun marshrut tarmog'ini eksklyuziv yo'l huquqidan tashqariga ham kengaytiradi. Yangilanish 2018 yildan so'ng amaldagi imtiyoz muddati tugagandan so'ng amalga oshiriladi.[54]

Parkshuttle 2020 yilda Dubayning Bluewaters oroliga va undan avtonom avtoulov xizmatlarini ko'rsatadigan 25 ta transport vositasini joylashtirishni rejalashtirmoqda. Muvaffaqiyatli iqlim sinovi 2017 yil noyabr oyida yakunlandi.[46]

2016 yil dekabr oyida Jacksonville transport idorasi ni besh yil ichida almashtirish niyatini e'lon qildi Jacksonville Skyway mavjud baland uskuna ustida ishlaydigan va oddiy yo'llarda davom etadigan haydovchisiz transport vositalari bilan monoray temir yo'l. Reja, yangi texnologiyaga tayyorgarlik ko'rish paytida mavjud tizimning ishlashini ta'minlashdir.[55]

Mototsikllar

2017 va 2018 yillarda BMW, Honda va Yamaha avtomobillaridan o'zini o'zi muvozanatlashtiradigan bir nechta mototsikl namoyish etildi.[56][57][58]

Honda mototsikli

Uni-cubdan ilhomlangan Honda o'zlarining muvozanatlash texnologiyasini mototsikllariga kiritdi. Mototsikllarning og'irligi sababli, ko'pincha mototsikl egalari uchun past tezlikda yoki to'xtash vaqtida transport vositalarining muvozanatini saqlash juda qiyin. Honda mototsiklining kontseptsiyasi o'z-o'zini muvozanatlash xususiyatiga ega bo'lib, u transport vositasini tik holatida ushlab turadi. Dingil masofasini kengaytirish orqali muvozanat markazini avtomatik ravishda pasaytiradi. Keyin transport vositasini muvozanat saqlash uchun boshqaruvni boshqarishni o'z zimmasiga oladi. Bu foydalanuvchilarga to'xtash vaqtida yurish yoki haydash paytida transport vositasida osonroq harakatlanish va tirbandlikka chiqish imkonini beradi. Biroq, ushbu tizim yuqori tezlikda haydash uchun emas. [56][59]

BMWs Motorrad Vision kontseptsiyasi mototsikli

BMW Motorrad kompaniyasi mototsikl xavfsizligi chegaralarini kuchaytirish maqsadida ConnectRide o'z-o'zini boshqaradigan mototsiklini ishlab chiqdi. Mototsiklning avtonom xususiyatlari qatoriga favqulodda tormozlash, chorrahalar bo'yicha muzokaralar olib borish, qattiq burilish paytida yordam berish va oldingi zarbalardan saqlanish kiradi. Bu avtonom avtoulovlarda ishlab chiqilayotgan va joriy etilayotgan zamonaviy texnologiyalarga o'xshash xususiyatlar. Ushbu mototsikl, shuningdek, o'z-o'zini normal haydash tezligida to'liq haydab, burilish va belgilangan joyga qaytishga qodir. Honda amalga oshirgan o'zini o'zi turish xususiyati yo'q.[60]

Yamaxaning chavandoz mototsikli

"Motoroid" muvozanatni ushlab turishi, avtonom haydashi, chavandozlarni tanishi va qo'l harakati bilan belgilangan joyga borishi mumkin. Yamaha motoroidga bag'ishlangan "Insoniyat jahannamga tezroq ta'sir qiladi" tadqiqot falsafasidan foydalandi. G'oya shundan iboratki, avtonom transport vositasi odamlarni almashtirishga emas, balki ilg'or texnologiyalar bilan insonning qobiliyatini oshirishga harakat qilmoqda. Ularda teginuvchi mulohazalari bor, masalan, chavandozning bel qismiga yumshoq siqish, xavfli tezlikda taskin berish uchun, go'yo transport vositasi chavandozga javob berayotgandek va aloqa qilayotgandek. Ularning maqsadi bitta tajribani shakllantirish uchun mashinani va odamni "eritish".[61]

Xarli-Devidson

Ularning mototsikllari mashhur bo'lsa-da, Harley-Davidson-ga ega bo'lishning eng katta muammolaridan biri bu avtomobilning ishonchliligi. Avtotransport vositasining og'irligini past tezlikda boshqarish qiyin va uni erdan ko'tarish to'g'ri texnikada ham qiyin jarayon bo'lishi mumkin. Ko'proq xaridorlarni jalb qilish uchun ular avtoulovning orqa qismida mototsiklning muvozanatini past tezlikda ushlab turadigan gyroskopga ega bo'lishlari uchun patent topshirdilar. Soatiga 3 mildan so'ng tizim ishdan chiqadi. Shunga qaramay, gyroskop transport vositasining muvozanatini boshqarishi mumkin, demak u to'xtash vaqtida ham muvozanatni saqlashi mumkin. Agar chavandoz u holda o'zini tayyor his qilsa (bu modulli degani), bu tizim o'chirilishi mumkin.[59]

Avtobuslar

Birlashgan Qirollikning birinchi avtonom avtobusi, hozirda sinovdan o'tkazilmoqda "Manchester" ning stagecoach jamoasi.

Avtonom avtobuslar - bu haqiqat, shuningdek, o'z-o'zini boshqaradigan avtoulovlar va yuk mashinalari. They are started to be used in Stockholm.[62][63] China has also a small fleet of self-driving public buses in the tech district of Shenzhen, Guangdong.[64]

The first autonomous bus trial in the United Kingdom commenced in mid-2019, with an Aleksandr Dennis Enviro200 MMC single-decker bus modified with autonomous software from Termoyadroviyni qayta ishlash ichida haydovchisiz rejimda ishlashga qodir "Manchester" ning stagecoach jamoasi "s Sharston avtobus ombori, kir yuvish stantsiyasiga haydash, yonilg'i quyish punktiga haydash va keyin avtoulovning avtoulov joyida to'xtash kabi vazifalarni bajarish.[65] 2021 yilga qadar Buyuk Britaniyada yo'lovchilarni tashiydigan haydovchisiz avtobus sinovi boshlanishi kutilmoqda, Manchester sudiga qadar bo'lgan beshta bir xil avtoulov parki 23 milya masofada ishlatilgan. Stagecoach Fife bo'ylab park-and-ride marshruti To'rtinchi yo'l ko'prigi, Forth shimoliy qirg'og'idan to Edinburgh Park station.[66]

Yuk mashinalari

The concept for autonomous vehicles has been applied for commercial uses, such as autonomous or nearly autonomous trucks.

Kabi kompaniyalar Suncor Energy, a Canadian energy company, and Rio Tinto guruhi were among the first to replace human-operated trucks with driverless commercial trucks run by computers.[67] In April 2016, trucks from major manufacturers including Volvo va Daimler kompaniyasi completed a week of autonomous driving across Europe, organized by the Dutch, in an effort to get self-driving trucks on the road. With developments in self-driving trucks progressing, U.S. self-driving truck sales is expected to reach 60,000 by 2035 according to a report released by IHS Inc. 2016 yil iyun oyida.[68]

As reported in June 1995 in Ommabop ilmiy jurnal, self-driving trucks were being developed for combat convoys, whereby only the lead truck would be driven by a human and the following trucks would rely on satellite, an inersial rahbarlik system and ground-speed sensors.[69] Caterpillar Inc. made early developments in 2013 with the Robototexnika instituti da Karnegi Mellon universiteti to improve efficiency and reduce cost at various mining and construction sites.[70]

Evropada Atrof muhit uchun xavfsiz yo'l poezdlari is such an approach.

From PWC's Strategy& Report,[71] self driving trucks will be the source of a lot of concern around how this technology will impact around 3 million truck drivers in the US, as well as 4 million employees in support of the trucking economy in gas stations, restaurants, bars and hotels. At the same time, some companies like Starsky, are aiming for Level 3 Autonomy, which would see the driver playing a control role around the truck's environment. The company's project, remote truck driving, would give truck drivers a greater work-life balance, enabling them to avoid long periods away from their home. This would however provoke a potential mismatch between the driver's skills with the technological redefinition of the job.

Companies that buy driverless trucks could massively cut down on costs: human drivers will no longer be required, companies' liabilities due to truck accidents will diminish, and productivity will increase (as the driverless truck doesn't need to rest). The usage of self driving trucks will go hand in hand with the use of real-time data to optimize both efficiency and productivity of the service delivered, as a way to tackle traffic congestion for example. Driverless trucks could enable new business models that would see deliveries shift from day time to night time or time slots in which traffic is less heavily dense.

Waymo Semi

2018 yil mart oyida, Waymo, the automated vehicle company spun off from Google bosh kompaniya Alphabet Inc., announced it was applying its technology to semi trucks. In the announcement, Waymo noted it would be using automated trucks to move freight related to Google's data centers in the Atlanta, GA area. The trucks will be manned and operated on public roads.[72]

Uber Semi

2016 yil oktyabr oyida, Uber completed the first driverless operation of an automated truck on public roads, delivering a trailer of Budveyser beer from Fort Collins, CO to Colorado Springs.[73] The run was completed at night on Interstate 25 after extensive testing and system improvements in cooperation with the Colorado State Police. The truck had a human in the cab but not sitting in the driver's seat, while the Colorado State Police provided a rolling closure of the highway.[74] At the time, Uber's automated truck was based primarily on technology developed by Otto, which Uber acquired in August 2016.[75] In March 2018, Uber announced it was using its automated trucks to deliver freight in Arizona, while also leveraging the UberFreight app to find and dispatch loads.[76]

Embark Semi

In February 2018, Embark Trucks announced it had completed the first cross-country trip of an automated semi, driving 2,400 miles from Los Angeles, CA to Jacksonville, FL on Interstate 10.[77] This followed a November 2017 announcement that it had partnered with Electrolux va Ryder to test its automated truck by moving Frigidair refrigerators from El Paso, TX to Palm Springs, CA.[78]

Tesla Semi

2017 yil noyabr oyida Tesla, Inc., tegishli Elon Musk, revealed a prototype of the Tesla Semi and announced that it would go into production. This long-haul, electric semi-truck can drive itself and move in "platoons" that automatically follow a lead vehicle. It was disclosed in August 2017 that it sought permission to test the vehicles in Nevada.[79]

Starsky Robotics

2017 yilda, Starsky Robotics unveiled its technology that allows to make trucks autonomous. Unlike its bigger competitors in this industry that aims to tackle Level 4 and 5 Autonomy, Starsky Robotics is aiming at producing Level 3 Autonomy trucks, in which the human drivers should be prepared to respond to a "request to intervene" in case anything goes wrong.

Pronto A.I.

2018 yil dekabr oyida, Entoni Levandovski unveiled his new autonomous driving company, Pronto, which is building L2 ADAS technology for the commercial trucking industry. The company is based in San Francisco. [80]

Poezdlar

Asosiy maqola: Poezdlarning avtomatik ishlashi

The concept for autonomous vehicles has also been applied for commercial uses, like for autonomous trains. First self-driving train in UK was launched in London Thameslink route.[81]

An example of an automated train network is the Docklands engil temir yo'l yilda London.

Shuningdek qarang Avtomatlashtirilgan poezd tizimlari ro'yxati.

Tramvaylar

In 2018 the first autonomous trams in Potsdam were trialed.[82]

Avtomatlashtirilgan boshqariladigan vosita

Asosiy maqola: Avtomatlashtirilgan boshqariladigan vosita

An automated guided vehicle or automatic guided vehicle (AGV) is a mobile robot that follows markers or wires in the floor, or uses vision, magnets, or lasers for navigation. They are most often used in industrial applications to move materials around a manufacturing facility or warehouse. Application of the automatic guided vehicle has broadened during the late 20th century.

Samolyot

Asosiy maqola: Uchuvchisiz havo vositasi

Aircraft has received much attention for automation, especially for navigation. A system capable of autonomously navigating a vehicle (especially aircraft) is known as avtopilot.

Delivery drones

Asosiy maqola: Yetkazib berish uchun uchuvchisiz samolyot

Various industries such as packages and food experimented with delivery drones. Traditional and new transportation companies are competing to dominate the market. Masalan, UPS parvozini oldinga yo'naltirish, Alphabet Wing, and Amazon Prime Air are all programs that have gotten ahead in drone delivery development.[83]

However, even if technology seems to allow for those solutions to function correctly as various tests of various companies show, the main throwback to the market launch and use of such drones is inevitably the legislation in place and regulatory agencies have to decide on the framework they wish to take to draft regulation. This process is in different phases across the world as each country will tackle the topic independently. For example, Iceland's government and departments of transport, aviation, police have already started issuing licenses for drone operations. It has a permissive approach and together with Costa Rica, Italy, the UAE, Sweden and Norway, has a fairly unrestricted legislation on commercial drone use. Those countries are characterized by a body of regulation that may give operational guidelines or require licensing, registration and insurance.[84]

On the other side, other countries have decided to ban, either directly (outright ban) or indirectly (effective ban), the use of commercial drones. The RAND Corporation thus makes the difference between countries forbidding drones and those that have a formal process for commercial drone licensing, but requirements are either impossible to meet or licenses do not appear to have been approved. In the US, UPS is the only one with the Part 135 Standard certification that is required to use drones to deliver to real customers.[83]

However, most countries seem to be struggling on the integration of drones for commercial uses into their aviation regulatory frameworks. Thus, constraints are placed on the use of those drones such as that they must be operating within the visual line of sight (VLOS) of the pilot and thus limiting their potential range. This would be the case of the Netherlands and Belgium. Most countries do let pilot operate outside the VLOS but is subject to restrictions and pilot ratings, which would be the case of the US.

The general trend is that legislation is moving fast and laws are constantly being reevaluated. Countries are moving towards a more permissive approach but the industry still lacks infrastructures to ensure the success of such a transition. To provide safety and efficiency, specialized training courses, pilot exams (type of UAV and flying conditions) as well as liability management measures regarding insurances have to be developed.

There is a sense of urgency that breathes from this innovation as competition is high and companies lobby to integrate them rapidly in their products and services offerings. Since June 2017, the US Senate legislation reauthorized the Federal Aviation Administration and the Department of Transportation to create a carrier certificate allowing for package deliveries by drones.[85]

Suv kemalari

Asosiy maqola: Uchuvchisiz er usti transport vositasi

Autonomous boats can provide security, do research, or perform hazardous or repetitive tasks (such as guiding a large ship into a harbor or transporting cargo).

Sea Machines

Sea Machines offers an autonomous system to ships. While it does require a human operator to oversee its actions, the system takes care of a lot of active domain perception and navigation duties that normally a few members of the crew would have to do. They use AI to have situational awareness for different ships within the route. They utilize camera, lidar, and proprietary software to inform the operator of its status.[86][87]

Buffautomation

Buffautomation, a team formed from the University of Buffalo, creates technology for semi-autonomous features for boats. They started out creating navigation assist technologies for freighters, which is like having another very experienced “first mate” that will look out for the ship. The system helps make twists and turns of difficult waterways.[87][88]

Autonomous Marine Systems

This Massachusetts based company has led the forefront of unmanned sailing drones. The Datamarans are out autonomously sailing around to collect ocean data. They are created to enable large payload packages. Due to the automated system and their solar panels, they are able to navigate for longer periods of time. More than anything they boast their technologies on advanced metocean surveys which collect “wind velocity profiles with altitude, water current, conductivity, temperature profiles with depth, hi-resolution bathymetry, sub-bottom profiling, magnetometer measurements” [89][87]

Suv osti kemalari

Asosiy maqola: Avtonom suv osti vositasi

Underwater vehicles have been a focus for automation for tasks such as pipeline inspection and underwater mapping.

Assistance robots

Spot

This robot is a four-legged nimble robot that was created to be able to navigate through many different terrain outdoors and indoors. It can walk on its own without colliding into anything. It utilizes many different sensors, including 360 vision cameras and gyroscopes. It is able to keep its balance even when pushed over. This vehicle, while it is not intended to be ridden, can carry heavy loads for construction workers or military personnel through rough terrain.[90]

Xavotirlar

Lack of control

Through the autonomy level, it is shown that the higher the level of autonomy, the fewer control humans have on their vehicles (highest level of autonomy needing zero human interventions). One of the few concerns regarding the development of vehicular automation is related to the end-users’ trust in the technology that controls automated vehicles.[91] According to a nationally conducted survey made by Kelley Blue Book (KBB) in 2016, it is shown that the majority of people would still choose to have a certain level of control behind their own vehicle rather than having the vehicle operate in Level 5 autonomy, or in other words, completely autonomous.[92] According to half of the respondents, the idea of safety in an autonomous vehicle diminishes as the level of autonomy increases.[92] This distrust of autonomous driving systems proved to be unchanged throughout the years when a nationwide survey conducted by AAA Foundation for Traffic and Safety (AAAFTS) in 2019 showed the same outcome as the survey KBB did in 2016. AAAFTS survey showed that even though people have a certain level of trust in automated vehicles, most people also have doubts and distrust towards the technology used in autonomous vehicles, with most distrust in Level 5 autonomous vehicles.[93] It is shown by AAAFTS’ survey that people's trust in autonomous driving systems increased when their level of understanding increased.[93]

Nosozliklar

A prototype of an autonomous Uber car being tested in San Francisco.

The possibility of autonomous vehicle's technology to experience malfunctions is also one of the causes of user's distrust in autonomous driving systems.[91] In fact, it is the concern that most respondents voted for in the AAAFTS survey.[93] Even though autonomous vehicles are made to improve traffic safety by minimizing crashes and their severity,[93] they still caused fatalities. At least 113 autonomous vehicle related accidents have occurred until 2018.[94] In 2015, Google declared that their automated vehicles experienced at least 272 failures, and drivers had to intervene around 13 times to prevent fatalities.[95] Furthermore, other automated vehicles’ manufacturers also reported automated vehicles’ failures, including the Uber car incident.[95] The self-driving Uber car accident that happened in 2018 is one of the examples of autonomous vehicle accidents that are also listed in List of self-driving car fatalities. One of the reports made by the Milliy transport xavfsizligi kengashi (NTSB) showed that the self-driving Uber car was unable to identify the victim in a sufficient amount of time for the vehicle to slow down and avoid crashing into the victim.[96]

Axloqiy

Another concern related to vehicle automation is its ethical issues. In reality, autonomous vehicles can encounter inevitable traffic accidents. In situations like that, many risks and calculations need to be made in order to minimize the amount of damage the accident could cause.[97] When a human driver encounters an inevitable accident, the driver will take a spontaneous action based on ethical and moral logic. However, when a driver has no control over the vehicle (Level 5 autonomy), the system of an autonomous vehicle is the one who needs to make that instant decision.[97] Unlike humans, autonomous vehicles don't have reflexes and it can only make decisions based on what it is programmed to do.[97] However, the situation and circumstances of accidents differ from one another, and one decision might not be the best decision for certain accidents. Based on two research made in 2019,[98][99] studies indicate that the implementation of fully automated vehicles in traffic where semi-automated and not automated vehicles are still present might lead to many complications.[98] Some flaws that still need consideration include the structure of liability, distribution of responsibilities,[99] efficiency in decision making, and the performance of autonomous vehicles with its diverse surroundings[98]

Shuningdek qarang

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