Traffic Congestion Model: Challenges and Opportunities

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Enjat Munajat, M.D.^1 ; Munir, Rinaldi^1 ; Widyantoro, Dwi H.^1

School of Electrical Engineering and Informatics, Institute of Technology, Bandung, Indonesia^1

关键词: Detailed images;    Moving objects;    Moving-object detection;    One camera;    Road curves;    Road detection;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012048/pdf
DOI  :  10.1088/1742-6596/801/1/012048

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper discusses models to detect traffic congestion using two approaches: road detection and moving object detection. There are two methods proposed to detect roads and moving objects. The methods involve the detection of both moving and non-moving objects. The system presented in this paper is able to detect roads as well as moving objects. However, further development is needed to detect extreme road curves. The system presented in this paper is relatively inexpensive since it only uses one camera and capable of capturing satisfactorily detailed images.