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Reseach Article
Traffic Density Analysis based on Image Segmentation with Adaptive Threshold
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 19 |
| Year of Publication: 2018 |
| Authors: Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen |
10.5120/cae2018652780
|
Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen . Traffic Density Analysis based on Image Segmentation with Adaptive Threshold. Communications on Applied Electronics. 7, 19 ( Aug 2018), 1-7. DOI=10.5120/cae2018652780
Abstract
Traffic congestion has become an important problem in recent years. The main reason is the increase in the population in big cities and respective increase in number of vehicles. Traffic jams not only affect the human routine lives but also lead to a rise in the cost of transportation. So, an automatic traffic control system is required to manage the traffic congestion problem. The traffic density analysis will support the traffic management problems such as intelligent traffic signal control, traffic planning, etc. This paper has proposed a traffic density analysis method based on image segmentation with adaptive threshold. The system was designed and evaluated with the traffic images taken in Ho Chi Minh City, Viet Nam. The proposed method provides a accuracy analysis rate higher than 97% and a verification error lower than 3%.
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