Raqamli pedagogika: holati va rivojlanish istiqbollari

Foydalanilgan adabiyotlar 
1. Гришаев Алексей Петрович (2017). Учимся программировать на sololearn. 
Математика и математическое образование (439-440). 
2.  www.Sololearn.com  
3. http://uza.uz/uz/politics/shavkat-mirziyoyev-yoshlar-tarbiyasi-eng-muhim-
masalalardan-16-06-2017 
UTILIZING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) 
FOR OVERCROWDING LEVEL RISK ASSESSMENT IN RAILWAY 
STATIONS 
Nasiriddinov A’louddin Nuriddinovich 
Termez State University, 
[e-mail]
 
Choriyev Hamid Azzamovich 
Termez State University, 
[e-mail]
 
Boltayev Jahongir Erkin o‘g’li 
Termez State University, [e-mail] 
Abstract: 
The railway network plays a significant role (both economically and 
socially) in assisting the reduction of urban traffic congestion. It also accelerates the 
decarbonization in cities, societies and built environments. To ensure the safe and 
secure operation of stations and capture the real-time risk status, it is imperative to 
consider a dynamic and smart method for managing risk factors in stations. In this 
research, a framework to develop an intelligent system for managing risk is suggested. 
The adaptive neuro-fuzzy inference system (ANFIS) is proposed as a powerful, 
intelligently selected model to improve risk management and manage uncertainties in 
risk variables. The objective of this study is twofold. First, we review current methods 

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Raqamli pedagogika: holati va rivojlanish istiqbollari
 
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applied to predict the risk level in the flow. Second, we develop smart risk assessment 
and management measures (or indicators) to improve our understanding of the safety 
of railway stations in real-time. Two parameters are selected as input for the risk level 
relating to overcrowding: the transfer efficiency and retention rate of the platform. This 
study is the world’s first to establish the hybrid artificial intelligence (AI) model, which 
has the potency to manage risk uncertainties and learns through artificial neural 
networks (ANNs) by integrated training processes.