Vehicle rear-end collision warning algorithm based on driver's braking behavior

Qingfeng Lin; Bo Cheng; Xiaolei Qu; Bo Zhang; Shaobing Xu

Vehicle rear-end collision warning algorithm based on driver's braking behavior

Qingfeng Lin^*
, Bo Cheng
, Xiaolei Qu
, Bo Zhang
, Shaobing Xu

^*Corresponding author for this work

School of Transportation Science and Engineering

Tsinghua University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

A large number of naturalistic driving data are collected in Beijing by using video drive recorder. Based on driver's braking behavior in rear-end collision, the relationships between safe/dangerous vehicle following states and vehicle state parameters are analyzed, and a rear-end collision warning algorithm in accordance with the characteristics of driver's risk perception is established by Fisher discriminant analysis. The results of study show that the discrimination accuracy of the algorithm reaches as high as 95%.

Original language	English
Pages (from-to)	232-235
Number of pages	4
Journal	Qiche Gongcheng/Automotive Engineering
Volume	34
Issue number	3
State	Published - Mar 2012

Keywords

Driver behavior
Fisher discriminant analysis
Rear-end collision warning
Risk perception
Video drive recorder

Cite this

@article{ef194e0024604f58b44884ea50eb38cd,

title = "Vehicle rear-end collision warning algorithm based on driver's braking behavior",

abstract = "A large number of naturalistic driving data are collected in Beijing by using video drive recorder. Based on driver's braking behavior in rear-end collision, the relationships between safe/dangerous vehicle following states and vehicle state parameters are analyzed, and a rear-end collision warning algorithm in accordance with the characteristics of driver's risk perception is established by Fisher discriminant analysis. The results of study show that the discrimination accuracy of the algorithm reaches as high as 95\%.",

keywords = "Driver behavior, Fisher discriminant analysis, Rear-end collision warning, Risk perception, Video drive recorder",

author = "Qingfeng Lin and Bo Cheng and Xiaolei Qu and Bo Zhang and Shaobing Xu",

year = "2012",

month = mar,

language = "英语",

volume = "34",

pages = "232--235",

journal = "Qiche Gongcheng/Automotive Engineering",

issn = "1000-680X",

publisher = "SAE-China",

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TY - JOUR

T1 - Vehicle rear-end collision warning algorithm based on driver's braking behavior

AU - Lin, Qingfeng

AU - Cheng, Bo

AU - Qu, Xiaolei

AU - Zhang, Bo

AU - Xu, Shaobing

PY - 2012/3

Y1 - 2012/3

N2 - A large number of naturalistic driving data are collected in Beijing by using video drive recorder. Based on driver's braking behavior in rear-end collision, the relationships between safe/dangerous vehicle following states and vehicle state parameters are analyzed, and a rear-end collision warning algorithm in accordance with the characteristics of driver's risk perception is established by Fisher discriminant analysis. The results of study show that the discrimination accuracy of the algorithm reaches as high as 95%.

AB - A large number of naturalistic driving data are collected in Beijing by using video drive recorder. Based on driver's braking behavior in rear-end collision, the relationships between safe/dangerous vehicle following states and vehicle state parameters are analyzed, and a rear-end collision warning algorithm in accordance with the characteristics of driver's risk perception is established by Fisher discriminant analysis. The results of study show that the discrimination accuracy of the algorithm reaches as high as 95%.

KW - Driver behavior

KW - Fisher discriminant analysis

KW - Rear-end collision warning

KW - Risk perception

KW - Video drive recorder

UR - https://www.scopus.com/pages/publications/84860347881

M3 - 文章

AN - SCOPUS:84860347881

SN - 1000-680X

VL - 34

SP - 232

EP - 235

JO - Qiche Gongcheng/Automotive Engineering

JF - Qiche Gongcheng/Automotive Engineering

IS - 3

ER -

Vehicle rear-end collision warning algorithm based on driver's braking behavior

Abstract

Keywords

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