Support Vector Machine Based Traffic Congestion in Intelligent Transportation System

ME Kalaivanan, S Brindha - NATURALISTA CAMPANO, 2024 - museonaturalistico.it
Traffic congestion is one of the most significant obstacles that municipal managers must
surmount to be successful in their work. This paper focuses on the use of intelligent …

A novel methodology to predict urban traffic congestion with ensemble learning

G Asencio-Cortés, E Florido, A Troncoso… - Soft Computing, 2016 - Springer
Urban traffic congestion prediction is a very hot topic due to the environmental and
economical impacts that currently implies. In this sense, to be able to predict bottlenecks and …

Identification and evaluation of the effective criteria for detection of congestion in a smart city

A Mohanty, SK Mohanty, B Jena… - IET …, 2022 - Wiley Online Library
The delay in transportation of necessary items is due to traffic congestion throughout the
world. This is a serious phenomenon which results in waste of time and fuel. The detection …

[PDF][PDF] Intelligent Transport Systems

MD Kazembe - Int. J. Res. Appl. Sci. Eng. Technol, 2022 - academia.edu
Growing economic activities aand others are among the factors that make many cities busy
places today especially in traffic systems. Road networks that seem to be spacious …

[PDF][PDF] Traffic Prediction Architecture based on Machine Learning Approach for Smart Cities.

MCH Inzunza, LH Robles, MA Carlos-Mancilla… - Res. Comput …, 2020 - academia.edu
It is common to see more and more people dealing with traffic due to excessive population
growth in cities. The traffic has become one of the main topics of interest is used for smart …

A case study on traffic congestion control system using data mining and machine learning applications

S Asif, K Kartheeban - AIP Conference Proceedings, 2023 - pubs.aip.org
Traffic congestion is an enormous concern in several metropolitan states. This is resulting in
untimely delays and trouble to commuters, financial losses for drivers, inconsistency in travel …

[PDF][PDF] URBAN TRAFFIC FLOW PREDICTION TECHNIQUES: A REVIEW

J Singh - irjmets.com
In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …

[PDF][PDF] Assessing the effectiveness of data mining tools in classifying and predicting road traffic congestion

A Arabiat, M Altayeb - Indonesian Journal of Electrical …, 2024 - researchgate.net
Traffic congestion is a significant issue in cities, impacting the environment, commuters, and
the economy. Predicting congestion is crucial for efficient network operation, but high-quality …

Monitoring and Prediction using Machine Learning Traffic

D Sugunavathi, N Taj - EFFLATOUNIA-Multidisciplinary Journal, 2021 - efflatounia.com
Nowadays traffic in cities became a big headache to control and monitor, traffic monitoring
has become one the integral customes for transportation intelligence system. Transportation …

Web-Based Machine Learning Bi-Class Congestion Identification Based on Audio Data Application

AP Perdana, PH Gunawan… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Traffic congestion is a problem that frequently arises. Congestion causes unpredictable
travel times, the economy will be delayed, and people become stressed. Managing traffic is …