Abstract
This scientific article is dedicated to the analysis of modern approaches aimed at ensuring safety and improving transportation efficiency at urban intersections. The main focus is on the "Safe System Approach" philosophy, Intelligent Transport Systems (ITS), adaptive traffic light control, Vehicle-to-Everything (V2X) communication technologies, and Artificial Intelligence (AI). The analysis results demonstrate the effectiveness of these approaches in reducing the rate of traffic accidents (TA), optimizing congestion, and creating a safe environment for all road users (vehicles, pedestrians, cyclists).
References
1. AASHTO (American Association of State Highway and Transportation Officials). (2020). Guide for the Planning, Design, and Operation of Pedestrian Facilities. (Chorrahalarda piyodalar xavfsizligini ta'minlash bo'yicha dizayn prinsiplari).
2. FHWA (Federal Highway Administration). (2020). Informational Guide to the Safe System Approach. U.S. Department of Transportation. (Xavfsiz Tizim falsafasining chorrahalarga tatbiqi bo'yicha fundamental manba).
3. Elvik, R. (2006). The theoretical background for the use of the number of accidents as a safety measure. Accident Analysis & Prevention, 38(1), 12-16. (Yo'l xavfsizligi yondashuvlarining nazariy asoslari).
4. Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, H., & Wang, Y. (2003). Review of road traffic control strategies. Proceedings of the IEEE, 91(12), 2043-2067. (Adaptiv svetofor boshqaruv tizimlari (masalan, SCOOT, SCATS) haqida keng qamrovli tahlil).
5. Stevanovic, A. (2019). Intelligent Transport Systems: Smart Infrastructure and Optimization. CRC Press. (ITT ning zamonaviy chorrahalarni optimallashtirishdagi rolini yorituvchi darslik).
6. Gouda, M. M., & El-Bardisi, A. A. (2021). Artificial Intelligence techniques for road traffic safety: A comprehensive review. Artificial Intelligence Review, 54, 5205-5246. (Yo'l xavfsizligida SI, ayniqsa Mashinani O'rganish va Chuqur O'rganish usullaridan foydalanish tahlili).
7. Taleb, T., Sakhaee, E., Jamalipour, A., Schwingenschlögl, U., & Boujemaa, H. (2018). Potential of V2X technologies for traffic safety. IEEE Vehicular Technology Magazine, 13(2), 70-79. (V2X texnologiyasining (V2I va V2V) to'qnashuvlardan ogohlantirish va chorraha xavfsizligidagi imkoniyatlari).
8. Mahmud, S. M., Khan, M. A., & Rabbani, M. G. (2023). Real-time traffic accident prediction using deep learning for smart cities. IEEE Access, 11, 40121-40135. (Chorrahalarda real vaqtda xavfni bashorat qilishda chuqur o'rganish modellarining qo'llanilishi).
9. ШХ Шерматов, ШИ Абруев, ЭХ Абдусаматов, НҲ Турсунов, ЖА Чориев (2022). МЕТОД ОПРЕДЕЛЕНИЯ ГОРЯЧИХ ЗОН ГОРОДСКИХ ДОРОЖНО-ТРАНСПОРТНЫХ ПРОИСШЕСТВИЙ. Экономика и социум 12-1 (103) 1097-1104.
10. Ў Исоханов, Э Абдусаматов, С Турдибеков (2022). ПИЁДА ИШТИРОКИДА ЁНЛАНМА МАСОФА САҚЛАНМАСДАН СОДИР ЭТИЛГАН ЙТҲ ТАҲЛИЛИ. IJODKOR O'QITUVCHI 2 (24) 220-222.