Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Overcrowding Level Risk Assessment in Railway Stations

Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Overcrowding Level Risk Assessment in Railway Stations

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 ris...

Full description

Bibliographic Details
Main Authors: Hamad Alawad, Min An, Sakdirat Kaewunruen
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
risk management
railway station
overcrowding risk
fuzzy interface systems
neural network
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/10/15/5156

Internet

https://www.mdpi.com/2076-3417/10/15/5156

Similar Items