Rear-end early warning method based on Bayesian network

Abstract

The invention discloses a rear-end early warning method based on the Bayesian network. The weather situation Y1, the road situation Y2, the driver reaction time Y3, the distance between the rear car and the front car Y4, the rear car speed Y5, the speed difference of the rear car relative to the front car Y6, and the rear car acceleration Y6 are selected as the variable nodes of the rear-end accident Y8, the Bayesian network node collection Y:Y={Y1, Y2, Y3, Y4, Y5, Y6, Y7, Y8} of the rear-end accident is obtained, and value ranges of the variable nodes are determined; the traffic scene of the rear-end accident is simulated, the Bayesian network learning dataset of the rear-end accident is composed, and discrete treatment is performed on the learning dataset; the Bayesian network structure of the rear-end accident is composed, and conditional probability distributions of the nodes in the structure are calculated; the inspection data sample is obtained, the values of all nodes in the inspection data sample except the rear-end accident Y8 in next moment are predicted; the Bayesian network is utilized to calculate the probability that a rear-end accident happens in the next moment; the threshold value is set, and the early warning measure is adopted if the probability that the rear-end accident happens is larger than the threshold value.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a rear-end collision warning method based on a Bayesian network. It can be used to avoid vehicle rear-end collision accidents and ensure the safe driving of motor vehicles. Background technique [0002] With the development of modern traffic and the continuous development of the automobile industry, traffic accidents occur frequently. According to statistics, among all traffic accidents, automobile rear-end collision accidents are the main form, accounting for about 60% to 70% of traffic accidents. Wherein the generation of automobile rear-end collision accident is mainly caused by factors such as driving speed is too fast, driving distance is too small, brake is not in time. This accident is most likely to take place especially in states such as driver fatigue driving, inattention and environments such as rain, snow, fog. Therefore, how to avoid and reduce the occurren...

AI Technical Summary

Problems solved by technology

The shortcoming of this patent is that it only seeks solutions for local reasons such as people, cars, roads, and the environment, and does not comprehensively and systematically reveal the influence of people, cars, roads, and the environment on rear-end collision accidents, and the relationship between these factors. Accidents cannot be avoided...

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