Traffic congestion prediction method

A prediction method and vehicle technology, applied in traffic flow detection, road vehicle traffic control systems, instruments, etc., can solve the problem that the judgment accuracy may not be high, and achieve the effect of improving the traffic jam prediction accuracy

Active Publication Date: 2013-08-21
HONDA MOTOR CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] However, in the existing methods including Patent Document 1, the vehicle density is used to predict traffic jams, and the prediction accuracy may not be high. In order to avoid or eliminate traffic jams, there is still room for improvement

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Embodiment Construction

[0024] Specific embodiments of the present invention will be described below with reference to the accompanying drawings. figure 1 It is a schematic block diagram of the structure of the traffic jam prediction device 10 involved in an embodiment of the present invention. This traffic jam prediction device 10 is equipped on a vehicle. The traffic jam prediction device 10 can be equipped on the vehicle as an independent device, or can also be equipped on the vehicle as a part of other devices.

[0025] The traffic jam prediction device 10 has a vehicle speed sensor 11 , a radar device 12 , a navigation device 13 , a processing device 14 , a switch device 15 , a driver group 16 , a speaker 17 , a display 18 , and a communication device 19 . In addition, the processing device 14 may also be incorporated in the navigation device 13 . In addition, corresponding functions (structures) of the navigation device 13 may be used for the speaker 17 and the display 18 .

[0026] The veh...

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Abstract

Provided is a traffic congestion prediction method including: a step for detecting the acceleration of a vehicle; a step for calculating a power spectrum corresponding to a frequency from frequency analysis of the detected acceleration; a step for calculating the simple linear regression of the power spectrum and calculating the maximum value of the change in the gradient of the simple linear regression in a specified frequency range as the maximum gradient value; a step for detecting the inter-vehicle distance between the aforementioned vehicle and a vehicle in front; a step which uses a distribution estimation method to estimate an inter-vehicle distance distribution from the detected inter-vehicle distance; a step for calculating the minimum covariance value from the estimated inter-vehicle distance distribution; a step for estimating a front vehicle group distribution from the correlation relationship between the minimum covariance value and the maximum gradient value; and a step for predicting in real time traffic congestion based on the vehicle group distribution.

Description

technical field [0001] The present invention relates to a method for predicting traffic jams, specifically, the present invention relates to a method for predicting traffic jams based on the acceleration of the own vehicle and the inter-vehicle distance between the own vehicle and other vehicles. Background technique [0002] In the prior art, there is a traffic jam prediction method applied in a vehicle driving assistance device. For example, Patent Document 1 describes the following content: According to the detection results of the radar device, the vehicle density of other vehicles existing within a predetermined distance range in front of and behind the own vehicle is obtained, and the vehicle density is used to determine whether the driving state of the own vehicle is cause of traffic jams. [0003] However, in the existing methods including Patent Document 1, the vehicle density is used to predict traffic jams, the prediction accuracy may not be high, and there is st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/00
CPCG08G1/0133G08G1/00G08G1/0112
Inventor 越膳孝方
Owner HONDA MOTOR CO LTD
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