Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory

Xiao Feng Tang; Feng Gao; Guo Yan Xu; Neng Gen Ding; Yao Cai; Jian Xing Liu

doi:10.13229/j.cnki.jdxbgxb201505003

Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory

Xiao Feng Tang
, Feng Gao^*
, Guo Yan Xu
, Neng Gen Ding
, Yao Cai
, Jian Xing Liu

^*Corresponding author for this work

Beihang University

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

Abstract

Highway Intelligent Space-Vehicle Framework Theory (HIS-VFT) is proposed to research vehicle driving state when passing highway tunnel. First, the longitudinal and lateral dynamics models are built based on the road driving characteristics to study the longitudinal and lateral driving states. Then, model predictive control method is used to predict relative vehicle distance and lateral deviation. Combined with prediction control characteristic, the variable conditions are set. Finally, MATLAB/CarSim is used to simulate the process. The simulation results show that using HIS-VFT can achieve vehicle safety driving when the traffic accident happens on the road ahead.

Original language	English
Pages (from-to)	1395-1401
Number of pages	7
Journal	Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
Volume	45
Issue number	5
DOIs	https://doi.org/10.13229/j.cnki.jdxbgxb201505003
State	Published - 1 Sep 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Highway intelligent space-vehicle framework theory
Model predictive control
Vehicle driving state
Vehicle engineering

Access to Document

10.13229/j.cnki.jdxbgxb201505003

Cite this

@article{b0dc68c317f24fcda43d91534e488931,

title = "Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory",

abstract = "Highway Intelligent Space-Vehicle Framework Theory (HIS-VFT) is proposed to research vehicle driving state when passing highway tunnel. First, the longitudinal and lateral dynamics models are built based on the road driving characteristics to study the longitudinal and lateral driving states. Then, model predictive control method is used to predict relative vehicle distance and lateral deviation. Combined with prediction control characteristic, the variable conditions are set. Finally, MATLAB/CarSim is used to simulate the process. The simulation results show that using HIS-VFT can achieve vehicle safety driving when the traffic accident happens on the road ahead.",

keywords = "Highway intelligent space-vehicle framework theory, Model predictive control, Vehicle driving state, Vehicle engineering",

author = "Tang, \{Xiao Feng\} and Feng Gao and Xu, \{Guo Yan\} and Ding, \{Neng Gen\} and Yao Cai and Liu, \{Jian Xing\}",

year = "2015",

month = sep,

day = "1",

doi = "10.13229/j.cnki.jdxbgxb201505003",

language = "英语",

volume = "45",

pages = "1395--1401",

journal = "Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)",

issn = "1671-5497",

publisher = "Editorial Board of Jilin University",

number = "5",

}

TY - JOUR

T1 - Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory

AU - Tang, Xiao Feng

AU - Gao, Feng

AU - Xu, Guo Yan

AU - Ding, Neng Gen

AU - Cai, Yao

AU - Liu, Jian Xing

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Highway Intelligent Space-Vehicle Framework Theory (HIS-VFT) is proposed to research vehicle driving state when passing highway tunnel. First, the longitudinal and lateral dynamics models are built based on the road driving characteristics to study the longitudinal and lateral driving states. Then, model predictive control method is used to predict relative vehicle distance and lateral deviation. Combined with prediction control characteristic, the variable conditions are set. Finally, MATLAB/CarSim is used to simulate the process. The simulation results show that using HIS-VFT can achieve vehicle safety driving when the traffic accident happens on the road ahead.

AB - Highway Intelligent Space-Vehicle Framework Theory (HIS-VFT) is proposed to research vehicle driving state when passing highway tunnel. First, the longitudinal and lateral dynamics models are built based on the road driving characteristics to study the longitudinal and lateral driving states. Then, model predictive control method is used to predict relative vehicle distance and lateral deviation. Combined with prediction control characteristic, the variable conditions are set. Finally, MATLAB/CarSim is used to simulate the process. The simulation results show that using HIS-VFT can achieve vehicle safety driving when the traffic accident happens on the road ahead.

KW - Highway intelligent space-vehicle framework theory

KW - Model predictive control

KW - Vehicle driving state

KW - Vehicle engineering

UR - https://www.scopus.com/pages/publications/84942922867

U2 - 10.13229/j.cnki.jdxbgxb201505003

DO - 10.13229/j.cnki.jdxbgxb201505003

M3 - 文章

AN - SCOPUS:84942922867

SN - 1671-5497

VL - 45

SP - 1395

EP - 1401

JO - Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)

JF - Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)

IS - 5

ER -

Vehicle driving dynamics prediction based on highway intelligent space-vehicle framework theory

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this