Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Adaptive lane-change early-warning method based on driver characteristics

An adaptive, driver-driven technology, applied in the field of vehicle intelligent driving assistance/vehicle active safety, can solve problems such as low system acceptance

Active Publication Date: 2019-05-10
JIANGSU UNIV
View PDF7 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the above related technologies, in order to solve the problem that the existing lane change assistance system may be contrary to the driver's operating habits and the system acceptance is low

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
  • Adaptive lane-change early-warning method based on driver characteristics
  • Adaptive lane-change early-warning method based on driver characteristics
  • Adaptive lane-change early-warning method based on driver characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0078] figure 1 It is a structural diagram of an adaptive lane-changing warning system considering the driver's characteristics. The main idea of ​​the present invention is introduced as a whole. Firstly, the lane-changing model is determined, a lane-changing parameter correction method is proposed to realize the comprehensive assessment of the multi-vehicle collision risk, and a dynamic adjustment method of the model parameters is given; secondly, a driver-operated For the perceived lane-changing behavior database, an optimal threshold search method based on information entropy is designed, and a threshold rationality evaluation system is established to judge whether the threshold needs to be adjusted; finally, the real-time risk assessment value is compared with the early wa...

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

The invention discloses an adaptive lane-change early-warning method based on driver characteristics. The adaptive lane-change early-warning method is used for the technical field of intelligent driving assisting / vehicle active safety, traffic accidents caused by lane-change operation can be reduced, and the operation load of a driver is relieved. According to the adaptive lane-change early-warning method, through a fuzzy logic method, the influence degree of surrounding vehicles on vehicle lane-exchange is determined with the speed association degree, the lane-exchange safety coefficient andlateral offset as indexes, and lane-change parameters are corrected; model parameters are identified on line through recursive maximum likelihood estimation, and a real-time danger estimation value isobtained; and an optimal alarm threshold value is searched based on information entropy, the real-time estimation value is compared with the alarming threshold value, an alarm state of a system is judged, and a driver is assisted in conducting safe lane-change operation. Algorithm parameters can be identified on line, the calculation amount is small, the threshold value is adjustable dynamically,psychological expectation of a driver is met, and operability is achieved.

Description

technical field [0001] The invention relates to the technical field of vehicle intelligent driving assistance / vehicle active safety, in particular to an adaptive lane change early warning method based on driver characteristics. Background technique [0002] The development of the road transportation industry and the sharp increase in car ownership have led to frequent traffic accidents in our country, resulting in huge human and financial losses. According to the statistics of the National Highway Traffic Safety Administration of the United States, traffic accidents caused by lane changing account for 5% of all traffic accidents, and traffic delays caused by it can reach 10%. In addition, 75% of lane-changing accidents are due to the driver's recognition barrier, that is, insufficient awareness of the state information of the vehicle and the surrounding environment information. The statistical data of my country's large-scale real vehicle road test (China-FOT) also further ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): B60W30/08B60W40/00B60W40/10B60W50/14G06Q10/06
Inventor 刘志强韩静文倪捷
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products