TRANSPORT TIZIMLARIDA DATA MINING ASOSIDA TAHLIL VA PROGNOZLASH
Keywords:
Kalit so'zlar: data mining, transport tizimlari, yo'l harakati prognozlashi, mashinali o'rganish, yo'l tirbandligi, ITS (Intelligent Transportation Systems)Abstract
Ushbu maqolada zamonaviy transport tizimlarida ma'lumotlar qazib olish (Data
Mining) texnologiyalarining qo'llanilishi, yo'l harakati oqimlarini tahlil qilish va
prognozlash usullari ko'rib chiqilgan. Transport sohasida to'plangan katta hajmdagi
ma'lumotlardan foydalanib, yo'l tirbandliklari, transport vositalarining harakati va
yo'lovchilar oqimini bashorat qilish imkoniyatlari tahlil qilingan. Maqolada mashinali
o'rganish algoritmlari, klasterlash usullari va prognozlash modellarining amaliy tatbiqi
misollari keltirilgan.
References
Foydalanilgan adabiyotlar
1. Han, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Morgan
Kaufmann Publishers.
2. Zhang, Y., & Haghani, A. (2015). A gradient boosting method to improve travel
time prediction. Transportation Research Part C: Emerging Technologies, 58,
308-324.
3. Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014). Short‐term traffic
forecasting: Where we are and where we're going. Transportation Research Part
C: Emerging Technologies, 43, 3-19.
4. Lv, Y., Duan, Y., Kang, W., Li, Z., & Wang, F. Y. (2015). Traffic flow
prediction with big data: A deep learning approach. IEEE Transactions on
Intelligent Transportation Systems, 16(2), 865-873.
5. Zheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014). Urban computing:
Concepts, methodologies, and applications. ACM Transactions on Intelligent
Systems and Technology, 5(3), 1-55.