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Rear-end collision pre-warning method based on driver types

A rear-end collision warning and driving-type technology, applied in traffic flow detection, collision avoidance systems, etc., can solve problems such as not taking into account driving habits, low warning accuracy, and poor versatility

Inactive Publication Date: 2014-01-22
JILIN UNIV
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the existing vehicle rear-end collision warning method does not take into account the driving habits of different types of drivers, the accuracy of the warning is low, and the versatility is poor, the present invention proposes a vehicle rear-end collision warning method based on the type of driver, which integrates the following distance and collision The four characteristic parameters of time, relative speed and relative distance fully consider the driving style and response ability of different types of drivers. Firstly, the drivers are classified according to the driving style and emergency response ability, and the current car following status is judged based on multiple parameters. , different levels of early warning for different levels of danger, improving the accuracy of vehicle rear-end collision warning

Method used

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  • Rear-end collision pre-warning method based on driver types
  • Rear-end collision pre-warning method based on driver types
  • Rear-end collision pre-warning method based on driver types

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specific Embodiment approach

[0053] Such as figure 1 As shown, the vehicle rear-end collision warning method based on the driver type provided by the present invention mainly includes the following steps:

[0054] Step 1. Emergency response ability test: judge the driver's emergency response ability, use the reaction time tester to test the reaction time of the tested driver, and obtain the emergency response ability test data;

[0055] Step 2. Driving behavior monitoring: use the corresponding sensors to obtain the operating parameters of the tested driver in real time, the distance between the tested vehicle and the vehicle in front, and the relative speed to form driving behavior monitoring data;

[0056] Step 3. Classification of driver types: using unsupervised cluster analysis method, according to the emergency response ability test data and driving behavior monitoring data of the tested driver, based on the preset reaction ability classification rules and driving style membership function to determ...

Embodiment

[0101] 1. Before the tested driver drives the vehicle, use the reaction time tester to test the driver's reaction time. After the reaction time tester is started, a moving picture will be displayed in the display output window, and the tested person is required to observe the motion state of the moving picture. Once it is found that its movement is obviously decelerated, immediately press the confirmation button on the reaction time tester, and the reaction time tester will display the reaction time t0 of the driver under test.

[0102] 2. During the process of driving the vehicle, real-time monitoring of driving behavior: use various sensors to obtain the distance between the vehicle under test and the vehicle in front, the relative speed and the required driver's manipulation parameters in real time, perform filtering processing and corresponding calculations to obtain the average car following Distance d0, average following speed v0, throttle opening η0 and its rate of chang...

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Abstract

The invention discloses a rear-end collision pre-warning method based on driver types, and aims to solve the problem that the pre-warning accuracy is reduced due to no consideration of driving habits of different types of drivers in the prior art. The rear-end collision pre-warning method comprises the steps as follows: 1, an emergency reaction ability test: reaction time of a tested driver is tested by a reaction time tester; 2, driving behavior monitoring: corresponding sensors are respectively utilized to acquire operation parameters of the tested driver, a distance between the tested vehicle and a vehicle ahead and a relative speed; 3, classification of driver types: according to emergency reaction ability test data and driving behavior monitoring data of the tested driver, an unsupervised cluster analysis method is adopted to determine the driver type on the basis of a preset reaction capacity classification rule and a driving style membership grade function; 4, real-time danger level detection: a danger level judgment equation suitable for the driver type of the tested driver is selected to judge current driving danger level of the tested vehicle; and 5, pre-warning triggering.

Description

technical field [0001] The invention belongs to an early warning method in the field of intelligent vehicle safety assisted driving, and more precisely, the invention relates to a vehicle rear-end collision early warning method based on driver type. Background technique [0002] In recent years, with the rapid development of the road traffic and automobile industry, the number of motor vehicles and the number of drivers have further increased. Avoiding traffic accidents or reducing the damage caused by accidents has become an urgent problem for governments and societies in various countries. As one of the important means to reduce traffic accidents, driving safety assistance system has been paid more and more attention. According to relevant statistics, automobile rear-end collision is one of the main forms of road traffic accidents, accounting for about 23% of the total number of collision accidents. As an effective way to reduce the risk of rear-end collision collision, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/16G08G1/01
Inventor 金立生顼美姣牛清宁咸化彩杨冬梅秦彦光黄乐明林楠张义花李玲李科勇
Owner JILIN UNIV
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