Izoh. Jamoat transportini rejalashtirish tizimlaridan foydalanishingiz mumkin bo'lgan muhim kuzatuv shundan iboratki, minimal zarar muddati bilan mumkin bo'lgan marshrutni topish oddiy qisqa yo'l muammosi bilan to'la. Ulardan biri transport tarmog'ining "vaqtni kengaytiruvchi" versiyasini va har bir potentsial hodisa uchun cho'qqilar jadvalini yaratadi, bunda hodisa muayyan transportning ma'lum bir tugunga kelishi yoki ketishidir. Rejalashtirilgan transport marshrutining har bir tomoni uchun transportning kelishi haqidagi xabar keyingi Transportga kelishi bilanoq uning vaqti belgilanadi. Agar siz bunday grafikni rejalashtirilgan marshrutning kelib chiqishi va boradigan joyiga mos keladigan maxsus tugunlar bilan mos ravishda kengaytirsangiz, u holda oldingi sayohatga eng qisqa yo'l yo'lning minimal umumiy vaqti bilan bajarilgan yo'lga to'g'ri keladi. Maqolada jamoat transporti marshrutlarini qurishning intellektual algoritmlari va transport vositalari harakatini tashkil etish algoritmi va dasturiy vositalari, shaharlardagi tirbandlikni kamaytirish uchun statik va dinamik parametrlarni hisobga olgan holda optimal marshrutlar jadvalini tuzish ko'rib chiqiladi.
| Mualliflar | Sotvoldiyev, Dilshodbek, Muxamedieva, Dildora, Muxtarov, Farrux |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2023-12-11 |
| Son | 4 |
| Betlar | 95-103 |
| Til | Rus |
intellektual tizimlar, jamoat transporti, marshrut, neyron to‘rlar, Xopfil'd neyron to‘ri, rekkurrent neyron to‘ri., интеллектуальные системы, общественный транспорт, маршрутизация, нейронные сети, нейронная сеть Хопфилда, рекуррентная нейронная сеть., intelligent systems, public transport, routing, neural networks, Hopfield's neural network, recurrent neural network., intellektual tizimlar, jamoat transporti, marshrut, neyron to‘rlar, Xopfil'd neyron to‘ri, rekkurrent neyron to‘ri
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