Traffic Congestion Estimation using Video without Vehicle Tracking
Keywords:
Traffic control, Traffic sensor, Image thresholding, Expectation maximization, Congestion estimation, Vehicle trackingAbstract
In this study, a traffic density monitoring system using the expectation maximization (EM) algorithm was tested on video data with varying traffic density levels. Experiments were conducted to find the most accurate image thresholding method to preprocess the images before they are fed to the EM algorithm. The algorithm successfully detected traffic density, separating it into two categories, namely ‘congested’ and ‘smooth’. Using the Bradley-Roth method for image thresholding produced the most accurate results.
Downloads
Published
2022-06-01
Issue
Section
Articles
How to Cite
Traffic Congestion Estimation using Video without Vehicle Tracking. (2022). Internetworking Indonesia Journal, 14(1), 33-37. https://internetworkingindonesia.org/index.php/iij/article/view/30