Reserch on Traffic Congestion Detection Using Realtime Video

Abstract:

To detection the realtime information of the traffic congestion on the road, a method based on realtime video analysis was present. The method, firstly figure out the density of the vehicles on the lane, and then calculates optical flow velocity vetors of corner points on vehicles, finnaly, judges the current condition of the traffic flow by fuzzy logic based on the conditions of denisty and velocity. The proposed method is capable to accurately and timely detect the status of traffic congestion.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 2100-2106
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.2100
• Online since: December 2012
• Authors: Ling Xu, Qun Ba, Shan Hu
• Keywords: Congestion Detection, Corner Point, Fuzzy Logic Descision, Lane Detection, Lukas-Kanade Optical Flow

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