Automated Data Collection and Safety Analysis at Intersections Based on a Novel Video Processing System. Issue 4 (April 2019)

• Record Type: Journal Article
• Authors: Zhang, Qiuchen; Yang, Zhen; Sun, Dazhi
• Is Part Of: Transportation research record. Volume 2673:Issue 4(2019)
• Page Start: 136
• Page End: 144
• Publication Date: 2019-04
• Subjects: Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.1177/0361198119838979
• Languages: English
• ISSNs: 0361-1981

Abstract

A novel video-based system is presented which collects trajectories and motion parameters of all objects at intersections. First, a modified ViBe method is used to extract the foreground of moving objects. Then, an object-point-contour matching approach is developed for pairing, tracking, and generating trajectories. Finally, raw trajectories are corrected through post-processing and motion parameters are estimated after object classification. This system demonstrates better performance while tracking tardy and shadowed objects compared with previous studies. The accuracies of 86% and 91% are obtained for traffic counts and velocity validation, respectively. This paper also presents a sample safety analysis using traffic conflict technology to demonstrate the possible implementation for traffic management and safety analysis.