Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …

Any intelligent traffic monitoring system must be able to detect anomalies such as traffic
accidents in real-time. In this paper, we propose a Decision-Tree enabled approach …

Traffic Clog is the main issue of the fast and evolving world. Due to the rise in the use of
more private vehicles and low road network capacity managing traffic with the traditional …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

Automatic monitoring of pavement structure health has always been a significant problem for
transportation engineers. Although the generative adversarial network (GAN) has proven to …

Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …

Abstract Traffic Monitoring Systems play a crucial role in real-life scenarios by improving
traffic flow and reducing violations. Among these violations helmet non-compliance is …

Optimizing traffic control systems at traffic intersections can reduce network-wide fuel
consumption as well as improve traffic flow. While traffic signals have conventionally been …

Optimizing traffic control systems at traffic intersections can reduce the network-wide fuel
consumption, as well as emissions of conventional fuel-powered vehicles. While traffic …

Assessment of roadway safety in real-time is a necessary component for providing proactive
safety countermeasures to ensure the continued safety and efficiency of roadways. A …