A vision-based real-time traffic flow monitoring system for road intersections.

Multimed Tools Appl

Department of Electrical and Electronics Engineering, Sakarya University of Applied Sciences, Serdivan, Sakarya, 54187 Turkey.

Published: February 2023

In this study, a vision based real-time traffic flow monitoring system has been developed to extract statistics passes through the intersections. A novel object tracking and data association algorithms have been developed using the bounding-box properties to estimate the vehicle trajectories. Then, rich traffic flow information such as directional and total counting, instantaneous and average speed of vehicles are calculated from the predicted trajectories. During the study, various parameters that affect the accuracy of vision based systems are examined such as camera locations and angles that may cause occlusion or illusion problems. In the last part, sample video streams are processed using both Kalman filter and new centroid-based algorithm for comparative study. The results show that the new algorithm performs 9.18% better than Kalman filter approach in general.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911956PMC
http://dx.doi.org/10.1007/s11042-023-14418-wDOI Listing

Publication Analysis

Top Keywords

traffic flow
12
real-time traffic
8
flow monitoring
8
monitoring system
8
vision based
8
kalman filter
8
vision-based real-time
4
system road
4
road intersections
4
intersections study
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!