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Video-based dynamic vehicle queue length estimation method

A technology for queuing length and dynamic estimation, applied in the field of intelligent transportation

Inactive Publication Date: 2012-08-01
SHANDONG UNIV
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  • Abstract
  • Description
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Problems solved by technology

[0003] Discovered through retrieval: Li Zhe et al., DSP-based vehicle queuing length image detection system, Computer Application Research, 2005, 22(11): 229-230; Qi Hongsheng, Wang Dianhai, Signal-controlled intersection vehicle queuing length, Journal of Jilin University ( Engineering Edition), 2009, 39(06): 1457-1462; Yao Ronghan, Research on Vehicle Queuing Model, Doctoral Dissertation of Jilin University; Huang Lei et al., Method and Device for Detection of Vehicle Queuing Length, Invention Patent, Application Date: 2010.06.28, published Date: 2011.01.05; Yang Yonghui et al., Video-based vehicle queuing length detection, 2011, 28(3): 1037-1041; Li Qingwu et al., Single-frame image detection device and working method for vehicle queuing length at intersections, filing date: 2007.12.26; public date: 2009.7.1; the above technologies all use video detection technology to obtain the vehicle queuing length at an intersection at a certain moment, without estimating the vehicle queuing at multiple times in the future

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] Such as figure 1 Shown is the installation position diagram of the camera. In the two intersections in the figure, the downstream intersection is on the left and the upstream intersection is on the right. The camera is installed at the upstream intersection, that is, behind the queue of vehicles on the road section to be photographed.

[0024] Such as figure 2 Shown is a schematic flow chart of the present invention. After the system starts to operate, the camera shoots at the road section. When the downstream intersection signal turns red, the length of the queuing vehicles on the road section is identified once every ΔT time, and the estimated model is used. Estimate the vehicle queuing length at N (N=1, 2, 3, 4, . . . ) ΔT moments in the future.

[0025] Concrete implementation steps of the present invention are as follows:

[0026] Step 1...

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Abstract

The invention discloses a video-based dynamic vehicle queue length estimation method. According to the method, on the basis that the vehicle queue length at a certain moment is obtained exactly by an image recognition technology, a dynamic vehicle queue length estimation model at several future moments is built by combining the flow of vehicles which enter a road section, a timing parameter of a signal lamp is dynamically adjusted by using the estimated vehicle queue length, an estimation scale of road crowdedness degree or time when the road section is about to be crowded with the vehicles is given, and a reference and an evidence are supplied to forced control over traffic overflow.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for dynamically estimating vehicle queuing length based on video. Background technique [0002] Due to the control function of traffic lights, the queuing behavior of vehicles in the urban traffic network under the state of high saturation will inevitably occur, and the accurate acquisition and estimation of the vehicle queuing length is the basis for evaluating the degree of traffic congestion, controlling the timing of intersection signal lights, and compulsorily for traffic overflow. An important prerequisite for control, etc. [0003] Discovered through retrieval: Li Zhe et al., DSP-based vehicle queuing length image detection system, Computer Application Research, 2005, 22(11): 229-230; Qi Hongsheng, Wang Dianhai, Signal-controlled intersection vehicle queuing length, Journal of Jilin University ( Engineering Edition), 2009, 39(06): 1457-1462; Yao Ronghan,...

Claims

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Application Information

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IPC IPC(8): G08G1/065G06K9/00
Inventor 朱文兴仕小伟
Owner SHANDONG UNIV
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