Intelligent traffic congestion classification system using artificial neural network

M Ashifuddin Mondal, Z Rehena - … proceedings of the 2019 world wide …, 2019 - dl.acm.org
Managing the ever increasing road traffic congestion due to enormous vehicular growth is a
big concern all over the world. Tremendous air pollution, loss of valuable time and money …

Smart traffic congestion model in IoT-A review

K Ramesh, A Lakshna… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Rising incidents of traffic congestion among increasing usage of vehicles have become a
high concern in an urban area. Internet of Things (IoT) is the technology to support the …

Intelligent transportation and control systems using data mining and machine learning techniques: A comprehensive study

NO Alsrehin, AF Klaib, A Magableh - IEEE Access, 2019 - ieeexplore.ieee.org
Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Identifying traffic congestion pattern using k-means clustering technique

MA Mondal, Z Rehena - … on Internet of Things: Smart Innovation …, 2019 - ieeexplore.ieee.org
With increase in urbanization and socio-economical growth, the number of vehicles in major
metropolitan cities is increasing day by day. Therefore, traffic congestion is becoming a …

[PDF][PDF] Machine Learning based traffic congestion prediction in a IoT based Smart City

S Devi, T Neetha - Int. Res. J. Eng. Technol, 2017 - academia.edu
In a smart city roads would be equipped with the sensors for analyzing the traffic flow.
Hence, free flowing of road traffic is important for faster connectivity and transportation …

[HTML][HTML] Traffic congestion classification using GAN-Based synthetic data augmentation and a novel 5-layer convolutional neural network model

U Jilani, M Asif, M Rashid, AA Siddique, SMU Talha… - Electronics, 2022 - mdpi.com
Private automobiles are still a widely prevalent mode of transportation. Subsequently, traffic
congestion on the roads has been more frequent and severe with the continuous rise in the …

Traffic density classification for multiclass vehicles using customized convolutional neural network for smart city

D Mane, R Bidwe, B Zope, N Ranjan - Communication and Intelligent …, 2022 - Springer
Building a traffic monitoring system for intelligent transportation systems (ITS) in the
developing smart cities has drawn in a mass of consideration in the latest past. Since the …

A review of IoT application in a smart traffic management system

MKM Rabby, MM Islam, SM Imon - 2019 5th International …, 2019 - ieeexplore.ieee.org
This paper explores the advancement of smart traffic management system using the Internet
of Things (IoT). It works as middleware on the foundation of the IoT and augments the idea of …

An IoT-based congestion control framework for intelligent traffic management system

MA Mondal, Z Rehena - … Conference on Artificial Intelligence and Data …, 2019 - Springer
The concept of smart city helps to improve the quality of urban life of the citizens while
keeping in mind the environmental impacts. Smart and sustainable transportation system is …

Big traffic data analytics for smart urban intelligent traffic system using machine learning techniques

SS Hlaing, MM Tin, MM Khin, PP Wai… - 2020 IEEE 9th Global …, 2020 - ieeexplore.ieee.org
Due to huge number of private and public vehicles in last two decades, the traffic load and
congestion have increased significantly, which is major problem in transportation system. An …