Traffic flow analysis is fundamental for urban planning and management of road traffic
infrastructure. Automatic number plate recognition (ANPR) systems are conventional …

Accurate and prompt traffic data are necessary for the successful management of major
events. Computer vision techniques, such as convolutional neural network (CNN) applied …

Traffic congestion is a common affair in the big cities and towns. This issue is the outcome of
the rapid increase in the population and increasing number of vehicles, so predicting the …

Near real-time urban traffic analysis and prediction are paramount for effective intelligent
transport systems. Whilst there is a plethora of research on advanced approaches to study …

The sustainable growth of cities created the need for better informed decisions based on
information and communication technologies to sense the city and quantify its pulse. An …

Traffic cameras are a widely available source of open data that offer tremendous value to
public authorities by providing real-time statistics to understand and monitor the activity …

In urban environments there are daily issues of traffic congestion which city authorities need
to address. Realtime analysis of traffic flow information is crucial for efficiently managing …

Traffic congestion is an undesirable problem for big cities especially in third world countries.
Better policy planning and decision-making from the authority comes from well-conducted …

Due to static traffic management regulations on roadways, traffic flow may become
congested as it has been growing on roads. Estimating traffic density impacts intelligent …

Unmanned Aerial Vehicles (UAVs) represent easy, affordable, and simple solutions for
many tasks, including the collection of traffic data. The main aim of this study is to propose a …