Real-time traffic congestion detection based on frame difference function and virtual loop

DOI

10.2991/jimet-15.2015.125How to use a DOI?

Keywords

traffic congestion detection; image processing; intelligent transport system

Abstract

Traffic congestion has become one of the major concerns of policy-makers in modern metropolises. Accurate real-time traffic congestion alert is of great importance for alleviating congestion. In this paper, we propose a fast, unsupervised, video-based approach using average frame difference function (AFDF) and virtual loop to identify real-time traffic congestion. This novel method calculates the frame differences of specified order in a loop area to determine the speed of the vehicles. The proposed method has been integrated in the intelligent transport system (ITS) of Wuhan City, China for testing, and results show that the method is efficient and robust for real-time traffic congestion detection.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fei Liu
AU  - Zhiyuan Zeng
AU  - Rong Jiang
PY  - 2015/12
DA  - 2015/12
TI  - Real-time traffic congestion detection based on frame difference function and virtual loop
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 670
EP  - 674
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.125
DO  - 10.2991/jimet-15.2015.125
ID  - Liu2015/12
ER  -