While the existing applied length-based vehicle classification model has been to estimate vehicle lengths accurately with dual-loop traffic monitoring station data under free traffic condition, it produces considerable errors against congested traffic. In this study, both ground-truth vehicle trajectory and simultaneous loop event data are used to characterize the impact of congested traffic on...

This paper presents a generic scheme to analyze urban traffic via vehicle motion indication from airborne laser scanning (ALS) data. The scheme comprises two main steps performed progressively vehicle extraction and motion status classification. The step for vehicle extraction is intended to detect and delineate single vehicle instances as accurate and complete as possible, while the step for m...

In the past. collection of vehicle classification (VC) data was difficult and costly. Such data often had to be collected manually. Recently, considerable advances have been made concerning automatic vehicle-classifier (AVC) technology. AVCS are devices capable of providing a record of vehicle volume with respect to vehicle type. Most highway agencies in North America now employ permanent autom...

The paper describes the automatic motor vehicle video stream based classification system. The system determines vehicle type at payment collection plazas on toll roads. Classification is performed in accordance with a preconfigured set of rules which determine type by number of wheel axles, vehicle length, height over the first axle and full height. These characteristics are calculated using va...

Video surveillance has significant application prospects such as security, law enforcement, and traffic monitoring. Visual traffic surveillance using computer vision techniques can be non-invasive, cost effective, and automated. Detecting and recognizing the objects in a video is an important part of many video surveillance systems which can help in tracking of the detected objects and gatherin...

Title of thesis: GROUND VEHICLE ACOUSTIC SIGNAL PROCESSING BASED ON BIOLOGICAL HEARING MODELS: Degree candidate: Li Liu Degree and year: Master of Science, 1999 Thesis directed by: Professor John S. Baras Institute of Systems Research This thesis presents a prototype vehicle acoustic signal classification system with low classification error and short processing delay. To analyze the spectrum o...

Traffic data of multiple vehicle types are important for pavement design, traffic operations and traffic control. A new video-based traffic data collection system for multiple vehicle types is developed. By tracking and classifying every passing vehicle under mixed traffic conditions, the type and speed of every passing vehicle are recognised. Finally, the flows and mean speeds of multiple vehi...