Estimation of congestion level at intersection points using AI
G Pandove - 2022 3rd International Conference on Issues …, 2022 - ieeexplore.ieee.org
Congestion in vehicular scenarios has become one of the hot research areas among
researchers. It is one of the most challenging issues, and it occurs when roads or channels …
researchers. It is one of the most challenging issues, and it occurs when roads or channels …
Gradient Boosting Approach for Traffic Flow Prediction Using CatBoost
Traffic congestion has been a worldwide issue that has a massive impact on our daily lives.
The increasing number of vehicles intensifies traffic congestion, especially in urban areas …
The increasing number of vehicles intensifies traffic congestion, especially in urban areas …
Predictive system of traffic congestion based on machine learning
Growing traffic demand at junctions causes major traffic congestion, which can have a
detrimental impact on the economy, health, and other aspects. This necessitates intelligent …
detrimental impact on the economy, health, and other aspects. This necessitates intelligent …
Traffic Congestion Prediction using Machine Learning
MA Kafy, SI Faisal, ML Rahman, R Moni… - … on Computing for …, 2024 - ieeexplore.ieee.org
Due to the world population growing rapidly over time, the number of personal and local
vehicles are increasing which is one of the main causes of high traffic on the roads. For high …
vehicles are increasing which is one of the main causes of high traffic on the roads. For high …
Traffic congestion prediction using categorized vehicular speed data
Traffic congestion has become a problem which is associated with our day-to-day life.
Industrialization, urbanization, and the increasing population of cities have the main role in …
Industrialization, urbanization, and the increasing population of cities have the main role in …
Vehicles congestion prediction based on machine learning techniques using OpenCV and orange
The rise in vehicle use as a means of transportation contributes to transportation problems
occurring in big cities, including traffic congestion. This paper aims to provide insight into the …
occurring in big cities, including traffic congestion. This paper aims to provide insight into the …
Machine learning approach on traffic congestion monitoring system in internet of vehicles
Traffic congestion is a major issue in urban cities leading to aggregated traffic. With the
advancement in intelligent internet of vehicles, new technologies and protocols have been …
advancement in intelligent internet of vehicles, new technologies and protocols have been …
A Novel Approach for Predicting wide range of traffic congestion using deep learning Technique
ANG Jeevan, K Keerthika, SR Terli… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
Identifying traffic bottlenecks and devising solutions to the problem requires researchers and
practitioners in transportation to understand how congestion in one place impacts the rest of …
practitioners in transportation to understand how congestion in one place impacts the rest of …
Machine Learning Applications in Vehicular Traffic Prediction and Congestion Control: A Systematic Review
C Johny, V Dahiya - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
In the context of large cities, the growth in traffic congestion has become a major problem.
Static control systems may block emergency vehicles due to traffic congestion. The goal of …
Static control systems may block emergency vehicles due to traffic congestion. The goal of …
[PDF][PDF] Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles
Congestion in the world's traffic systems is a major issue that has far-reaching
repercussions, including wasted time and money due to longer commutes and more …
repercussions, including wasted time and money due to longer commutes and more …