吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1395-1401.doi: 10.13229/j.cnki.jdxbgxb201505003

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

TANG Xiao-feng, GAO Feng, XU Guo-yan, DING Neng-gen, CAI Yao, LIU Jian-xing   

  1. School of Transportation Science and Engineering, Beihang University, Beijing 100191,China
  • Received:2013-12-28 Online:2015-09-01 Published:2015-09-01

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.

Key words: vehicle engineering, highway intelligent space-vehicle framework theory, vehicle driving state, model predictive control

CLC Number: 

  • U491
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