Driving risk unified quantification method comprehensively considering human-vehicle-road factors

Abstract

The invention discloses a driving risk unified quantification method comprehensively considering human-vehicle-road factors, and the method comprises the steps: obtaining an initial driving safety field model of a driving risk according to an energy transfer principle; decomposing the initial driving safety field model into a longitudinal direction and a transverse direction, and establishing a unified driving safety field model according to the information of the vehicle j and the traffic environment information; calculating the field force Fji of the vehicle j to any position point i in thetraffic environment where the vehicle j is located; and according to the field force Fji, identifying the driving risk of the point i under the influence of the vehicle j. According to the invention,a unified driving safety field modeling thought capable of accurately reflecting the interaction relationship among vehicles in the road traffic environment is provided according to the comprehensiveinteraction between factors influencing the driving safety of the driving risk.

Description

technical field [0001] The invention relates to the technical field of intelligent vehicle application, in particular to a unified quantification method for driving risk that comprehensively considers various factors of human-vehicle-road. Background technique [0002] Quantifying driving risk is the basis for developing driving safety assistance technology and driverless technology. Existing research usually quantifies driving risk with parameters describing collisions, mainly including risk assessment methods based on accident analysis, assessment methods based on vehicle kinematics, and risk assessment methods based on artificial potential energy fields. Research on automotive intelligent safety technology has entered a period of rapid development. Generally speaking, the assessment of driving risk can be divided into two categories: 1) one-dimensional driving risk assessment for longitudinal risk assessment and lateral risk assessment during vehicle driving; Two-dimens...

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Problems solved by technology

The two methods have their own advantages, but both have a common defect, that is, the risk factors considered are not comprehensive, the applicable scenarios are single, and they cannot face complex and changeable traffic environments, resulting in the need for multiple independent risk assessments for the same smart car At the same time, t

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