Vehicle rear-end collision warning method based on driver type

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...

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

Images