Implementation of Vehicle Traffic Statistics Algorithm Based on ViBe Image Processing

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Lu, Mingyu^1 ; Tang, Zhihua^1

Traffic Engineering College, Anhui Sanlian University, He Fei, An Hui

230601, China^1

关键词: Airborne images;    Evaluation modeling;    Real-time traffic conditions;    Road vehicles;    Safety prediction;    Traffic flow;    Traffic pressure;    Vehicle traffic;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052033/pdf
DOI  :  10.1088/1757-899X/569/5/052033

来源: IOP

【 摘 要 】

This project uses all kinds of main roads and intersections of UAV aerial photography cities to obtain information on traffic flow and real-time traffic conditions of various main roads, and feeds back information to unmanned airborne image processing devices through big data and clouds. The extracted image is processed and analyzed, and then a traffic flow safety prediction and evaluation model database based on road vehicle conflict is established.Through the analysis of the data, relevant departments can better plan the layout of traffic facilities on the road, so that the traffic facilities can be fully utilized, relieve traffic pressure, and reduce the incidence of traffic accidents.