We investigates the performance of deep Convolutional Neural Network (CNN) for
recognizing highway traffic congestion state in surveillance camera images. Different from …

As the problem of urban traffic congestion intensifies, there is a pressing need for the
introduction of advanced technology and equipment to improve the state-of-the-art of traffic …

Traffic is one of the significant concerns globally because the numbers of vehicles with new
upcoming technology are increasing, especially in large urban areas. Advanced …

Traffic congestion is not only a cause of nuisance for general commuters but also a factor
that has a measurable impact on the economy if not handled proactively. When congestion …

In this paper we propose a method for determining traffic congestion on roads using image
processing techniques and a model for controlling traffic signals based on information …

Traffic jam and traffic accidents become serious problems especially in crowded cities,
which wasting time and money. Traffic light is basic element in control traffic flow through …

Traffic congestion is a major concern in many cities. Failure to heed signals, poor law
enforcement, and bad traffic light management are main factors that have led to traffic …

The traffic congestion and the rise in the number of vehicles have become a grievous issue,
and it is focused worldwide. One of the issues with traffic management is that the traffic light's …

The most important aspect of automatic driving and traffic surveillance is vehicle detection. In
addition, poor road conditions caused by potholes are the cause of traffic accidents and …

Traffic congestion is an unfortunate trusted companion of every urban dweller living in busy
non-static cities. In order to manage traffic both manually and automatically, accurate vehicle …