Implementation method of passenger and freight separated traffic parameter monitoring system

A technology of traffic parameters and monitoring system, applied in traffic control system, traffic control system, image analysis and other directions of road vehicles, can solve the problem of difficulty in manual supervision and analysis of highway monitoring video, and achieve good real-time performance, simple calculation and practicality good effect

Active Publication Date: 2017-05-24
南京大学镇江高新技术研究院
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in the face of the demand for passenger and cargo lane separation, and the huge expressway network, there is

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  • Implementation method of passenger and freight separated traffic parameter monitoring system
  • Implementation method of passenger and freight separated traffic parameter monitoring system
  • Implementation method of passenger and freight separated traffic parameter monitoring system

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Embodiment Construction

[0048] In the following, the present invention will be described in more detail and concretely with reference to the accompanying drawings and examples.

[0049] An example of the present invention is a passenger-cargo traffic parameter monitoring system, which realizes the intelligent monitoring of the passenger-cargo traffic on the expressway and the intelligent detection of the relevant traffic parameters of the passenger lane. In the following, the present invention will be described in more detail and concretely with reference to the accompanying drawings and examples.

[0050] Such as figure 1 with figure 2 As shown, the specific steps are as follows:

[0051] In the first step, the linear SVM trains the sample data set to generate a classification model, that is, the passenger vehicle and truck vehicle classification model in this example.

[0052] (1) Select a video rich in vehicles, convert it into continuous frame images, use Gaussian mixed background modeling to...

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Abstract

The invention provides an implementation method of a passenger and freight separated traffic parameter monitoring system. The implementation method comprises the steps of passenger and freight separated driving monitoring, lane vehicle speed detection, vehicle flow statistics, vehicle driving state monitoring and road congestion state monitoring. Passenger and freight separated driving monitoring is implemented by different vehicle detection of the fixed lane, and real-time monitoring of the traffic parameters is performed on the relevant vehicles of the fixed lane under the premise of classified monitoring. According to the system, a low-cost and high-practicality monitoring means is provided so as to realize passenger and freight separated monitoring on the highway and artificial intellectualization of corresponding traffic parameter monitoring.

Description

technical field [0001] The invention belongs to the technical field of computer vision detection, relates to video analysis and monitoring for expressway scenes, and is a method for realizing a passenger-cargo traffic parameter monitoring system. Background technique [0002] In the 21st century, due to the explosive growth of traffic demand, there are two main problems: one is that the traffic volume of most highway passages has become saturated, which has led to a sharp increase in the pressure of manual supervision of expressways; Different demand for cargo transportation: People put forward higher requirements for passenger transportation in terms of speed, safety, comfort, and convenience, while cargo transportation is developing towards large volume, speed, and energy saving. Emerged as the times require, the current passenger-cargo lane separation technology mainly focuses on the diversion design of the road itself, but in terms of real-time monitoring, there is still...

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Application Information

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IPC IPC(8): G08G1/017G08G1/052G08G1/065G06K9/00G06K9/62G06K9/46G06T7/20
CPCG08G1/015G08G1/052G08G1/065G06T2207/30232G06T2207/20224G06T2207/10016G06V20/40G06V20/54G06V10/462G06V2201/08G06F18/2411G06F18/2451
Inventor 阮雅端许山陈林凯陈启美陈雷兴储新迪高妍
Owner 南京大学镇江高新技术研究院
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