Road section two-way vehicle speed estimation method based on distributed sensing information

A distributed acoustic sensing and vehicle speed technology, applied in the field of intelligent transportation research, can solve the problems of high embedding cost, easy damage, point sensing, etc., and achieve the effects of low installation cost, safety and convenience, and reliable performance

Active Publication Date: 2017-04-26
ZHEJIANG UNIV
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Problems solved by technology

[0003] The detection of traffic speed in current road traffic mainly relies on buried annular induction coil detectors, radar speed

Method used

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  • Road section two-way vehicle speed estimation method based on distributed sensing information
  • Road section two-way vehicle speed estimation method based on distributed sensing information
  • Road section two-way vehicle speed estimation method based on distributed sensing information

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Embodiment Construction

[0047] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] Such as Figure 1a As shown, the present invention includes a distributed sensing detection unit, which is connected with the single-mode optical fiber laid near the road, establishes the optical fiber as a fully distributed long-distance interception array without blind spots, and obtains each interception Vehicle vibration information in the channel. Figure 1a Among them, A represents a single-mode optical fiber, B represents a sensing detection unit, and C represents a traffic section.

[0049] Figure 1b It is a schematic diagram of the optical fiber vibration intensity distribution caused by the vibration of a single vehicle, and the optical fiber vibration data caused by all vehicles on the road section is the original data used in the present invention.

[0050] Such as Figure 1c As shown, the vibration information is processed and marked in the Car...

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Abstract

The present invention provides a road section two-way vehicle speed estimation method based on distributed sensing information. The traditional road traffic flow vehicle flow speed detection mainly depends on an underground toroidal inductor detector, a radar speed measurement detector, a video detector and the like. The detection method in the prior art are easy to damage and high in embedding cost and has the dot-type induction. The distributed acoustics detector based on fiber sensing obtains the fiber vibration data caused by vehicle vibration of different detection sections to obtain the vehicle two-way speeds of different sections through data processing. The road section two-way vehicle speed estimation method based on the distributed sensing information fully employ laid roadside fiber resource to realize the vehicle speed detection, make up the defects of high cost and uniform distribution of a traditional detection method and provide a new information obtaining thinking and method for the traffic management and control.

Description

technical field [0001] The invention relates to a method for estimating the speed of two-way traffic flow on a road section based on distributed acoustic sensing information, which is used for the control and management of urban roads and expressways, and belongs to the field of intelligent traffic research. Background technique [0002] In urban roads and expressways, the scientific and accurate estimation of traffic speed can provide traffic managers and drivers with a basis for dynamic speed control and traffic decision-making, and also provide data support for improving traffic management methods. [0003] The detection of traffic speed in current road traffic mainly relies on buried annular induction coil detectors, radar speed detectors, video detectors, etc. These detection methods have the defects of easy damage, high embedding cost, and point induction . The distributed acoustic sensing system has the ability to transform long-distance optical fiber into a virtual ...

Claims

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Application Information

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IPC IPC(8): G08G1/052G08G1/01
CPCG08G1/0125G08G1/052
Inventor 马东方叶彬瞿逢重吴叶舟李文婧徐敬孙贵青
Owner ZHEJIANG UNIV
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