Automatic vehicle classification (AVC) systems provide data about vehicle classes that are
used for many purposes. This paper describes a prototype axle count and spacing AVC …

Vehicle detection and identification techniques have been widely applied in traffic scene to
acquire traffic information depending on various sensors, such as video camera, induction …

Vehicle classification systems have important roles in applications related to real‐time traffic
management. They also provide essential data and necessary information for traffic …

Providing reliable, real-time vehicle volume and classification information is vital for 21st
century intelligent transportation systems (ITS). Large vehicles have a major impact on traffic …

In recent days, the traffic flow information is collected using the global positioning system
through the Internet, which is yet to become ubiquitous. A novel technique is proposed for …

The rapidly increasing growth of surface transportation—driven by an evergrowing
population—and its impact on traffic safety has been a major concern for the nation's …

Clarifying traffic flow phases is a primary requisite for applying length‐based vehicle
classifications with dual‐loop data under various traffic conditions. One challenge lies in …

Multiple vehicle detection and identification techniques have been widely applied to acquire
road traffic information depending on various sensors, such as video camera, induction loop …

This report presents a methodology for extracting two vehicle features, vehicle length and
number of axles in order to classify the vehicles from video, based on Federal Highway …

This research focuses on the application of some of the latest computer vision algorithms
including CNN based object detection like YOLO and tracking libraries like the median flow …