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Lane adjustment method and device

An adjustment method and lane technology, applied in the field of intelligent transportation, can solve problems such as road congestion, large errors, and inconsistent lane flow settings.

Active Publication Date: 2022-03-04
APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, due to the ever-changing road traffic conditions, if the setting of the lane flow direction is not suitable
[0007] If it is not reasonable, it may cause road congestion and even cause traffic accidents. In related technologies,
[0008] Setting the direction and number of lanes only based on human experience may cause the lanes to be different from the actual traffic.
[0009] Usually the error is large

Method used

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  • Lane adjustment method and device
  • Lane adjustment method and device
  • Lane adjustment method and device

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0042] In this example, the video image of the vehicle passing through the traffic intersection during the green light period is extracted, and the corresponding vehicle trajectory features are extracted according to the video image. For example, when the vehicle trajectory features include the stable speed of the vehicle, the analysis is the When the speed is stable, then as Figure 2-2 As shown, assuming that the green light period contains 100 frames of video frames, according to the change of the driving distance of vehicle A between adjacent video frames in the 100 frames of video, when the driving distance of the video frame time is stable, that is, does not change , for example, between video frames 50-53, the driving distances corresponding to three consecutive video frames are almost equal, then it is considered that at frame 50, vehicle A reaches a stable speed, thus, according to the driving distance between adjacent frames The distance and the corresponding time di...

example 2

[0044] In this example, according to the position information and weight information of the detected vehicles during the green light period, based on the difference between the weight of each vehicle, or the mutual position between the wheels, the wheels belonging to the same vehicle are identified The position on the road surface and the distance of the driving section are used to determine the characteristics of the vehicle's trajectory.

[0045] Step 103 , inputting the characteristics of vehicle trajectories into the pre-trained saturated headway model to obtain the saturated headway of the target flow direction.

[0046] It can be understood that the saturated headway model is trained based on a large amount of experimental data in advance, and the saturated headway model can output saturated headway according to the characteristics of the input vehicle trajectories. Among them, the saturated headway is an important indicator for evaluating driving safety. An important ba...

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Abstract

The present application discloses a lane adjustment method and device, which relate to the field of intelligent transportation technology and deep learning, wherein the method includes: in response to a received green light signal of a signal control device, determining a target flow direction corresponding to the green light signal, and in the green light cycle Obtain the traffic trajectory characteristics of vehicles passing through the traffic intersection corresponding to the target flow direction; input the vehicle traffic trajectory characteristics into the pre-trained saturated headway model to obtain the saturated flow rate of the target flow direction; adjust the target flow direction according to the saturated flow rate. number of lanes. As a result, the intelligent determination of the lane flow direction is realized, so that the lane flow direction setting conforms to the real traffic situation, and the traffic flow is ensured.

Description

technical field [0001] This application relates to the field of intelligent transportation technology in data processing, and in particular to a vehicle [0002] Road adjustment method and device. Background technique [0003] With the increase of vehicle ownership, the development of urban traffic roads is getting faster and faster. [0004] To meet the traffic needs of pedestrians and vehicles, as well as different vehicles, lanes with different flow directions will be set up [0005] to control traffic movement. [0006] However, due to the ever-changing road traffic conditions, if the setting of the lane flow direction is not suitable [0007] If it is not reasonable, it may cause road congestion and even cause traffic accidents. In related technologies, [0008] Setting the direction and number of lanes only based on human experience may cause the lanes to be different from the actual traffic. [0009] Usually the error is large. Contents of the invention [001...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/056G01S19/39
CPCG08G1/0104G08G1/0125G08G1/0137G08G1/056G01S19/393
Inventor 徐琪琪杨凡王成法孙勇义黄轩
Owner APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
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