TRANSPORT TIZIMLARIDA DATA MINING ASOSIDA TAHLIL VA PROGNOZLASH

Authors

  • Solijonov Muhammadamin Sayotjon o‘g‘li Author

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.

Published

2025-12-12

How to Cite

Solijonov Muhammadamin Sayotjon o‘g‘li. (2025). TRANSPORT TIZIMLARIDA DATA MINING ASOSIDA TAHLIL VA PROGNOZLASH . Ta’lim Innovatsiyasi Va Integratsiyasi, 59(2), 3-6. https://journalss.org/index.php/tal/article/view/9796