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Abstract
O‘zbekiston shaharlarida transport tirbandliklari so‘nggi yillarda jiddiy ijtimoiy va iqtisodiy muammoga aylangan. Ushbu maqolada sun’iy intellekt (AI) va mashinani o‘rganish (ML) texnologiyalaridan foydalangan holda svetoforlarni real vaqt rejimida boshqarish orqali tirbandlikni kamaytirish imkoniyatlari tahlil qilinadi.
References
1.Wei, J. et al. (2023). AI-based Traffic Light Optimization using Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems.
2.Google DeepMind (2022). Adaptive Traffic Signal Control using Deep Q-Learning.
3.MIT Transport Lab (2021). YOLOv5-based Vehicle Recognition for Real-Time Traffic Analysis.
4.Surtrac Project Report (SIIT, 2022). Decentralized Adaptive Traffic Signal Control.
5.DOAJ (2024). Edge-AI for Smart Intersections: Case Study of Pyeongtaek, Korea.
6.O‘zbekiston Respublikasi ATKR vazirligi hisobotlari (2024).
7.“Raqamli O‘zbekiston – 2030” dasturi (2023).
8.SUMO User Manual (2022). Simulation of Urban Mobility Toolkit.
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