Prediction of vehicle flow using decision tree

Rasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, Tashmetov, Timur

Инновацион технологиялар · 2024-yil

Annotatsiya

This paper explores the traffic flow at the intersection of the ring road of Tashkentcity with Bogishamol Street. The study focuses on the movement of traffic and its dynamic indicators,such as intensity, density, and speed, which were studied and reprocessed. The main problemaddressed in the research was forecasting traffic flow using decision trees, and based on this solution,issues related to traffic management were considered. Alongside this, an analysis of factors affectingtraffic flow was conducted, and suggestions for their reduction were proposed. The analysis revealedthat special attention is currently being paid to the development of areas such as machine learning,neural networks, and intelligent transportation systems, which are actively being implemented in thetransportation sector. Within these areas, an analysis of algorithms, methods, and models of machinelearning was conducted. The analysis showed that models such as decision trees, random forests, andgradient boosting are widely used for traffic flow prediction. In this work, a decision tree was alsoused to develop a model for predicting traffic flow on Bogishamol Street in Tashkent city, whichshowed good results. The coefficient of determination was used to evaluate this indicator, whichshowed an accuracy of 92%. This indicates the good predictive value of this model.

Maqola ma’lumotlari
MualliflarRasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, Tashmetov, Timur
JurnalИнновацион технологиялар
NashriyotҚарши муҳандислик-иқтисодиёт институти
ISSN2181-4732, 2181-4015
Nashr sanasi2024-12-26
Jild54
Son02
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

traffic flow, congestion, prediction, algorithm, model, decision tree, machine learning models, coefficient of determination, entropy., транспортный поток, перегруженность, прогнозирование, алгоритм, модель, дерево решений, модели машинного обучения, коэффициент детерминации, энтропия., Transport oqimi, tirbandlik, bashorat, algoritm, model, qaror daraxti, mashinani oʻrgatish modellari, determinatsiya koeffitsiyenti, entropiya.

Ilmiy soha

Texnika

Iqtibos keltirish

APARasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, & Tashmetov, Timur (2024). PREDICTION OF VEHICLE FLOW USING DECISION TREE. Инновацион технологиялар, 54(02). https://ojs.qmii.uz/index.php/it/article/view/889
GOST (OAK)Rasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, Tashmetov, Timur PREDICTION OF VEHICLE FLOW USING DECISION TREE // Инновацион технологиялар. – 2024. – T. 54, № 02.
MLARasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, and Tashmetov, Timur. “PREDICTION OF VEHICLE FLOW USING DECISION TREE.” Инновацион технологиялар, 54(02), 2024. https://ojs.qmii.uz/index.php/it/article/view/889
ChicagoRasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, and Tashmetov, Timur. “PREDICTION OF VEHICLE FLOW USING DECISION TREE.” Инновацион технологиялар, 54(02) (2024). https://ojs.qmii.uz/index.php/it/article/view/889
HarvardRasulmukhamedov, Mahamadaziz, Tashmetov, Komoliddin, and Tashmetov, Timur (2024) ‘PREDICTION OF VEHICLE FLOW USING DECISION TREE’, Инновацион технологиялар, 54(02). https://ojs.qmii.uz/index.php/it/article/view/889
BibTeX
@article{rasulmukhamedovmahamadaziz2024,
  title = {PREDICTION OF VEHICLE FLOW USING DECISION TREE},
  author = {Rasulmukhamedov, Mahamadaziz and Tashmetov, Komoliddin and Tashmetov, Timur},
  journal = {Инновацион технологиялар},
  year = {2024},
  volume = {54},
  number = {02},
  url = {https://ojs.qmii.uz/index.php/it/article/view/889}
}

Boshqa maqola uchun iqtibos tayyorlash

Инновацион технологиялар jurnalidan boshqa maqolalar

Инновацион технологиялар — barcha maqolalar · 2024-yil arxivi

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari