Vehicle rollover warning algorithm based on svm model

Abstract

The invention discloses a vehicle rollover early warning algorithm based on an SVM model, which belongs to the field of traffic safety and comprises the following steps: a. Selecting a vehicle model for the design of a rollover early warning controller, and establishing a driver-vehicle-road environment model; b, determine the rollover risk assessment index; c, use the SVM algorithm to build an empirical model for vehicle rollover risk prediction, and use the deterministic variables and random variables output by the driver-vehicle-road environment model as the input of the empirical model for vehicle rollover risk prediction Determine the display function of the vehicle rollover limit state function, and use the hypersurface to visually divide the vehicle state samples into rollover unsafe areas and rollover safe areas. The present invention applies the probability method considering uncertainty to the design of vehicle dynamic rollover early warning algorithm, provides the explicit function of vehicle rollover safety limit and its gradient, reduces the external interference of strong nonlinearity and uncertainty of the system, and effectively Improve the accuracy of vehicle dynamic rollover warning.

Description

technical field [0001] The invention relates to the field of traffic safety, in particular to an algorithm for early warning of vehicle rollover, which is used for research on early warning of vehicle rollover. Background technique [0002] Traffic accidents are an important form of serious loss of life and property, and vehicle rollover accidents are one of the most serious traffic accidents. According to statistics, vehicle rollover has become the most frequent accident after frontal collision. In 2014, although the car rollover accident rate in France was only 4.7%, 14% of the people were killed. At the same time, it is very easy to damage roads, bridges and other public facilities after rollover, and even cause serious environmental pollution. Therefore, the research on early warning and control of vehicle rollover has received sufficient attention worldwide. The research on vehicle rollover warning and control can be classified into two categories: active and passive ...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved in the present invention is to develop a vehicle rollover warning algorithm based on the SVM empirical model considering uncertainty, and apply the probability method considering uncertainty to the design of the vehicle dynamic rollover warning algorithm, considering the driver- The uncertainty of the vehicle-road system and the real variability of parameters provide an explicit function of the vehicle rollover safety limit and its gradient. Non-linear and uncertain external disturbances can effectively improve the accuracy of vehicle dynamic rollover warning

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