Automobile rollover warning algorithm based on SVM (Support Vector Machine) model

A car side and model technology, applied in the field of traffic safety

Active Publication Date: 2019-04-23
HEBEI UNIV OF ENG
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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, consid

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automobile rollover warning algorithm based on SVM (Support Vector Machine) model
  • Automobile rollover warning algorithm based on SVM (Support Vector Machine) model
  • Automobile rollover warning algorithm based on SVM (Support Vector Machine) model

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0046] The present invention will be further described in detail below in conjunction with embodiments:

[0047] The vehicle rollover warning algorithm based on the SVM model includes the following steps:

[0048] a. First select a vehicle model for the rollover warning controller design, and select Carsim to establish a driver-vehicle-road environment model;

[0049] b, then determine the rollover risk assessment index;

[0050] c. Next, use the SVM algorithm to build an empirical model of car rollover risk prediction, and use the deterministic variables and random variables output from the driver-vehicle-road environment model as the input of the empirical model for car rollover risk prediction; determine the car rollover limit The display function of the state function uses the hypersurface to visually divide the car state samples into rollover unsafe areas and rollover safe areas.

[0051] Next step by step detailed introduction:

[0052] In step a, the present invention uses a 3-DO...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Theinvention discloses an automobile rollover warning algorithm based on an SVM (Support Vector Machine) model, belonging to the field of traffic security. The algorithm comprises the following stepsof: a, selecting an automobile model for design of a rollover warning controller, and creating a driver-automobile-road environment model; b, determining a rollover risk evaluation index; and c, building an automobile rollover risk prediction experience model by using an SVM algorithm, determining an explicit function of an automobile rollover limit state function with a deterministic variable anda random variable output by the driver-automobile-road environment model as inputs of the automobile rollover risk prediction experience model, and visibly dividing automobile state samples into a rollover insecurity area and a rollover security area by using a hypersurface. A probability method considering uncertainty is applied to automobile dynamic rollover warning algorithm design, an explicit function for automobile rollover security limit and gradient thereof is provided, external interference of system strong nonlinearity and uncertainty is lowered, and the automobile dynamic rolloverwarning accuracy is improved effectively.

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B60W40/00B60W40/10B60W40/105B60W40/12B60W50/00G06K9/62
CPCB60W40/00B60W40/10B60W40/105B60W40/12B60W50/0097B60W50/0098B60W2520/10B60W2050/0043G06F18/2411
Inventor 朱天军尹晓轩麻威王林胡伟侯红娟马宗昊王晗
Owner HEBEI UNIV OF ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap