Signal control intersection delay detecting based on video double section

被引：1

作者：

Zhang H. ^{[1
,2
]}

Li K. ^{[1
]}

Qian H. ^{[1
]}

Li X. ^{[3
]}

机构：

[1] College of Transportation Engineering, Tongji University

[2] School of Transportation, Chongqing Jiaotong University

[3] College of Electronics and Information, Tongji University

来源：

Tongji Daxue Xuebao/Journal of Tongji University | 2011年 / 39卷 / 07期

关键词：

Delay measurement; Traffic engineering; Vehicle tracking; Video;

D O I：

10.3969/j.issn.0253-374x.2011.07.013

中图分类号：

学科分类号：

摘要：

The paper introduces a new delay detection method based on the video double section trigger. Two virtual detectors were set to record the vehicles' arrival and departure information. Upon the vehicles' arrival of the intersection, the vehicles blobs were extracted to be tested whether the blobs could be matched. If the blobs could be matched for eight times successively, the new vehicle was thus detected. A real time tracking by the vehicle's stain and mean-shift algorithm would not stop until it departed, and parameters of delay were obtained. With the proposed method, over 90% of delay and more than 95% of the traffic flow precision can be detected on real time.

引用

页码：1013 / 1018

页数：5

共 13 条

[1] Quan Y., Urban Traffic Control, (1989)
[2] Liu Q., Research on video-based traffic parameters detecting system, (2009)
[3] Gupte S., Masoud O., Martin R.F.K., Et al., Detection and classification of vehicles, IEEE Transactions on Intelligent Transportation Systems, 3, (2002)
[4] Kebab W., Dixon M.P., Abdel-Rahim A., Field measurements of approach delay at signaled intersections using point data, Journal of the Transportation Research Board, 2027, (2007)
[5] Ahmed A.R., Michael D., Li W., Automated measurement of approach delay at signalized intersections: a vehicle event-based method, Transportation Research Board, pp. 09-1287, (2009)
[6] Sharma A., Bullock D., Bonneson J.A., Input-Output and hybrid techniques for the real time prediction of delay and maximum queue length at a signalized intersection, Transportation Research Board, pp. 07-0487, (2007)
[7] Zheng J., Ma X., Wang Y., Et al., Measuring signalized intersection performances in real-time with traffic sensors, Transportation Research Board, pp. 09-3119, (2009)
[8] Ran Q., Yang J., Wang Z., Et al., Instantaneous stop delay detection based on video, Journal of Xi'an Jiaotong University, 41, 6, (2007)
[9] Yan B., The Traffic Survey and Analyzing, (1994)
[10] Liu F., Zhang S., Zhu W., Et al., A vision-based lane detection and tracking algorithm, Journal of Tongji University: Natural Science, 38, 2, (2010)

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