This work proposes the use of deep neural networks for the prediction of traffic variables for
measuring traffic congestion. Deep neural networks are used in this work in order to …

Traffic obstruction is one of the major problems faced by most of the metropolises in the
dynamic road scene. Most of the roads in various cities (especially India) are poorly …

The ability of perception and understanding all static and dynamic objects around vehicle in
various driving and environmental conditions represent one of the main requirements for …

Taking into account the increase in the number of cars and, implicitly, the traffic problems, an
automatic license plate recognition (ALPR) system becomes a significant task in smart …

Our research is the design of a traffic signal violation detection system using machine
learning that learns to prevent the increasing number of road accidents. The system is …

Urbanization has presented opportunities of progress which has attracted people from rural
areas to the cities thus leading to mass migration. This migration has been going on for …

Intelligent traffic management systems deal with the difficult challenge of real-time vehicle
detection and classification. At road intersection, with different types of vehicles, and with …

In the period of innovative headways and mechanization, made conceivable by the wide-
range utilization of Machine Learning, brilliant boulevards with an automated traffic lighting …

This paper presents a prototype of an automobile driver assistance system based on
YOLOv3. The system detects car types, traffic signs, and traffic lights in real-time and warns …

Nowadays, many factors such as population growth and urban growth lead to the
emergence of traffic-related problems such as traffic accidents and traffic congestion …