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Vehicle queuing length detection method, device and equipment and readable storage medium

A technology of queue length and detection method, applied in traffic flow detection, traffic control system of road vehicles, special data processing applications, etc. The effect of low cost, improved accuracy and high collection frequency

Pending Publication Date: 2021-06-22
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing queuing length detection methods are: ground induction coil method and image processing method. These two methods are limited by the installation location of the equipment, and can only detect the congestion queuing at a fixed location. In addition, external influences ( Weather and traffic conditions) have great interference with the detection accuracy of these two methods
In recent years, mobile devices (such as floating cars) are also often used to detect queue length, but the accuracy of the collected data is not high enough to achieve lane-level detection; and the frequency of data collection is not high enough, which affects the detection accuracy; moreover, the current There are methods based on mobile devices that are not very real-time for queuing detection

Method used

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  • Vehicle queuing length detection method, device and equipment and readable storage medium
  • Vehicle queuing length detection method, device and equipment and readable storage medium
  • Vehicle queuing length detection method, device and equipment and readable storage medium

Examples

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Embodiment 1

[0070] like figure 1 As shown, this embodiment provides a vehicle queue length detection method, the method includes step S1, step S2, step S3, step S4, step S5 and step S6.

[0071] Step S1, acquiring the track data of the smart car and the track data of surrounding vehicles collected by the smart car;

[0072] Step S2, performing noise reduction processing on the trajectory data of each vehicle to obtain the reconstructed trajectory data of each vehicle;

[0073] Step S3, identifying the key points of the reconstructed trajectory data of each vehicle;

[0074] Step S4, based on the key points, summarize the key points belonging to the same build-up wave or dissipating wave, and obtain the key points of different build-up waves and different dissipating waves;

[0075] Step S5, based on the key points of the different gathering waves and the key points of different dissipating waves, pair the gathering waves and the dissipating waves that belong to the same congestion, and ...

Embodiment 3

[0153] Corresponding to the above method embodiments, the embodiments of the present disclosure further provide a vehicle queuing length detection device, and a vehicle queuing length detection device described below and a vehicle queuing length detection method described above may refer to each other correspondingly.

[0154] image 3 It is a block diagram of a vehicle queue length detection device 800 according to an exemplary embodiment. like image 3 As shown, the vehicle queue length detection device 800 may include: a processor 801 and a memory 802 . The vehicle queue length detection device 800 may also include one or more of a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .

[0155] The processor 801 is configured to control the overall operation of the vehicle queuing length detection device 800 to complete all or part of the steps in the above-mentioned vehicle queuing length detection method. The memory 402 is ...

Embodiment 4

[0159] Corresponding to the above method embodiments, the embodiments of the present disclosure further provide a readable storage medium, and a readable storage medium described below and a vehicle queue length detection method described above may refer to each other correspondingly.

[0160] A readable storage medium having a computer program stored on the readable storage medium, when the computer program is executed by a processor, implements the steps of the vehicle queue length detection method in the above method embodiment.

[0161] The readable storage medium may specifically be a USB flash drive, a removable hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc. Readable storage medium.

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Abstract

The invention provides a vehicle queuing length detection method, device and equipment and a readable storage medium. The method comprises the steps of obtaining trajectory data of an intelligent vehicle and trajectory data of surrounding vehicles collected by the intelligent vehicle; performing noise reduction processing on the trajectory data of each vehicle to obtain reconstructed trajectory data of each vehicle; identifying key points of the reconstructed trajectory data of each vehicle, summarizing the key points belonging to the same aggregation wave or evanescent wave, and pairing the aggregation wave and the evanescent wave belonging to the same congestion to obtain a first aggregation wave and a first evanescent wave belonging to the same congestion, and obtaining the wave velocity of the first aggregation wave and the wave velocity of the first dissipation wave; and determining a linear equation of the first aggregation wave or the first evanescent wave based on the space-time position of the vehicle passing through the first aggregation wave or the first evanescent wave and the wave velocity of the first aggregation wave or the first evanescent wave, and further determining the queuing length. The queuing length detection accuracy can be improved, and the practicability is high.

Description

technical field [0001] The present invention relates to the technical field of integrated transportation systems, and in particular, to a vehicle queue length detection method, device, device and readable storage medium. Background technique [0002] The existing queue length detection methods are: the ground induction coil method and the image processing method. These two methods are limited by the installation location of the equipment, and can only detect the congestion queue at a fixed position. In addition, the external influence ( weather and traffic state) greatly interfere with the detection accuracy of these two methods. In recent years, mobile devices (such as floating cars) are also often used for the detection of queue length, but the accuracy of the collected data is not high enough to achieve lane-level detection; and the frequency of data collection is not high enough, which affects the detection accuracy; Some methods based on mobile devices are not very rea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/052G08G1/123G06F17/11G06F17/14
CPCG06F17/11G06F17/148G08G1/0125G08G1/0137G08G1/052G08G1/123
Inventor 曹鹏刘晓波孙佳
Owner SOUTHWEST JIAOTONG UNIV
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