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Urban expressway traffic real-time monitoring system and method based on information physical network

A technology of traffic monitoring and information physics, applied in closed-circuit television systems, traffic flow detection, etc., can solve problems such as the realization of traffic accident identification

Inactive Publication Date: 2013-08-21
BEIJING UNIV OF TECH
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Problems solved by technology

In fact, the identification of traffic accidents cannot be achieved by relying on the client to read the video surveillance information of each camera in the road network one by one

Method used

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  • Urban expressway traffic real-time monitoring system and method based on information physical network
  • Urban expressway traffic real-time monitoring system and method based on information physical network
  • Urban expressway traffic real-time monitoring system and method based on information physical network

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Embodiment Construction

[0144] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0145] as attached figure 1 As shown, the urban expressway traffic real-time monitoring system based on cyber-physical network includes:

[0146] The video sensing unit adopts traffic monitoring cameras installed on road sections, generally installed at relatively high positions such as overpasses and overpasses at intersections, and captures road video information with a fixed camera angle of view to ensure the field of view and clarity of video collection. Realize the purpose of monitoring the traffic operation situation of a specific road section. It is necessary to prepare at least 2 video sensing units and monitor different road sections to build a video sensing network.

[0147] The video image processor adopts an embedded DSP image processing unit, or a PC installed with a video capture card, which can convert the received analog image...

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Abstract

The invention belongs to the field of internet of things and machine vision and discloses an urban expressway traffic real-time monitoring method based on an information physical network. The system realized the method comprises a video sensing unit, a video image processor and a network communication and traffic monitoring client. The system achieves accident detection based on a video transmission feedback control method through a road traffic parameter detection, traffic accident initial automatic early warning and traffic state quantization identification and by using of network communication, completes real-time monitoring on urban expressway traffic, improves real-time performance and an accuracy rate of an existing traffic accident detection method and adaptability on an emergent traffic accident, has stronger adaptive capacity on traffic states and environment, fully utilizes time and space information through a traffic abnormal predicting result fusing time and space on a decision-making level, and avoids traffic abnormal missing detection.

Description

technical field [0001] The invention belongs to the field of the Internet of Things and machine vision, and relates to a technique of using sensor network, video image processing, network data transmission, communication system control and other technologies to extract real-time traffic parameters, traffic state identification and accident detection for large-scale urban expressway network in time and space. , event detection, and a system and method for realizing real-time traffic monitoring of expressway networks. Background technique [0002] At present, the construction of vision-based traffic information collection and road monitoring systems in major cities in my country has begun to take shape. Real-time monitoring of urban road traffic is realized through a sensor network composed of road traffic detectors and video cameras. The transmission of traffic information within the monitoring system mainly includes three methods: one is data flow, each sensor node sends dig...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04N7/18
Inventor 张利国王君李振龙冯瑛
Owner BEIJING UNIV OF TECH
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