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Transport oqimlarini modellashtirish va boshqarish
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| bet | 4/4 | | Sana | 16.05.2024 | | Hajmi | 151,88 Kb. | | #238048 |
Bog'liq Modeling and control of traffic flows (UZB) — копияЗаключение
Ushbu maqolada biz parametrik identifikatsiya qilish uchun neyro-loyqa tarmoqni va tizimli identifikatsiya qilish uchun genetik algoritmni o'z ichiga olgan gibrid algoritm yordamida kesishishni boshqarish usulini taqdim etdik. Biz ajratilgan chorrahada moslashtirilgan svetoforni boshqarish modelini yaratish uchun algoritmni qo'lladik. Modelning ishlashini baholash uchun biz SUMO simulyatori asosida simulyatsiya paketini yaratdik. Natijalarimiz uzoq vaqt davomida boshqaruv elementlari qo‘llanilganda kesishish o‘tkazuvchanligi sezilarli yaxshilanganligini ko‘rsatadi. Nihoyat, biz shahar yo'llari tarmog'ini modellashtirishda hodisaga asoslangan yondashuvni tahlil qildik va bu yondashuv ko'p darajali modellarni yaratish vositasini taqdim etishini va yo'l tarmoqlarini boshqarishda qo'llanilishi mumkinligini ko'rsatdik. Kelajakdagi tadqiqotlar uchun istiqbolli yo'nalishlar avtomatik boshqarish algoritmlarini qurish va hodisalar ta'riflarida moslashtirilgan parametrlarni sozlash uchun hodisaga yo'naltirilgan yondashuvni o'z ichiga oladi.
Использованная литература
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Kudinov Y.I., Kudinov I.Y., Pashchenko F.F. Identification of Multivariable Fuzzy Systems. Proceedings of the 2011 Chinese Cjntrol and Decision Conference ( CCDC), 23-25 May 2011, Mianyang, China, pp. 1572-1575
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Mikat J., Brockfeld E., Wagner P. Agent Based Traffic Signals on a basic grid. Proceedings of the 4th Workshop on Agent-Based Simulation, 2003.
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https://github.com/kholodilov/crossroads-simulator
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Esper Reference, Version 5.2.0. URL: http://www.espertech.com/esper/release-5.2.0/esper-reference/html/index.html
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