基于时空图的交通流量统计和交通状态检测

计算机工程与科学

基于时空图的交通流量统计和交通状态检测

吴志芳1，刘昕2

(1.武汉科技大学计算机科学与技术学院，湖北武汉 430065；
2.湖北华中电力科技开发有限责任公司，湖北武汉 430077)

收稿日期:2015-01-23 修回日期:2015-09-22 出版日期:2016-09-25 发布日期:2016-09-25

Traffic flow estimation and traffic state detection based on the space-time map

WU Zhi-fang1,LIU Xin2

(1.College of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430065;
2.Huibei Central China Technology Development of Electric Power CO.,Ltd.,Wuhan 430077,China)

Received:2015-01-23 Revised:2015-09-22 Online:2016-09-25 Published:2016-09-25

摘要/Abstract

摘要：

提出了一种新的基于时空图的交通流量统计和交通状态检测方法。首先,通过人机交互的方法设定检测线，并利用检测线计算时空图；然后，对时空图进行边缘提取、图像分割等处理，利用时空图上车辆的边缘、形状和占道率等信息，计算出一段时间内的交通流量。此外，还通过时空图的边缘信息的差异，将当前时间段的交通状态分为通畅、拥挤和堵塞三种不同的情况。实验结果表明，在摄像机安装位置合适的情况下，该方法统计交通流量的误差低于8%，判断交通状态的误差为0，具有很好的商业实用性。

关键词: 智能交通, 时空图, 检测线, 交通流量统计, 交通状态检测

Abstract:

We propose a novel traffic flow estimation and traffic state detection approach. Firstly, the detection line used to compute the space-time map is set via man-machine interaction, and the processes such as edge detection, image segmentation and so on are then performed in the space-time map. The traffic flow for a period of time is estimated by using the information of edge, shape and the rate of road occupation. In addition, the current traffic state is divided into three levels: clear, crowd and jam by using the difference between edge information in the space-time map. Experimental results show that the proposed approach can effectively compute the traffic flow and detect the traffic state, and it is practical for commerce.

Key words: intelligent traffic, space-temporal map, detection line, traffic flow counting, traffic state detection

吴志芳1，刘昕2. 基于时空图的交通流量统计和交通状态检测[J]. 计算机工程与科学.

WU Zhi-fang1,LIU Xin2. Traffic flow estimation and traffic state detection based on the space-time map [J]. Computer Engineering & Science.

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