• DocumentCode
    2203121
  • Title

    Generating lane-change trajectories using the dynamic model of driving behavior

  • Author

    Xu, Guoqing ; Liu, Li ; Song, Zhangjun ; Ou, Yongsheng

  • Author_Institution
    Shenzhen Institutes of Adv. Technol., Chinese Acad. of Sci., Shenzhen, China
  • fYear
    2011
  • fDate
    6-8 June 2011
  • Firstpage
    464
  • Lastpage
    469
  • Abstract
    Modeling driving behavior and emulating driver control strategy is one of essential parts for risk assessment and auxiliary control in the driver assistance system and vehicle active safety system. In this paper, we propose a dynamic lane-change model which reflects the driver control strategy of adjusting longitude and lateral acceleration. The proposed model is intuitive and can clearly describe the habit and randomness of the lane-change behavior with limit parameters. Especially, by using the proposed model and method driver can choose the different driving scenes, such as slow or sudden, to generate different lane-change trajectories. Compared with the conventional polynomial lane-change path planning, the dynamic model can generate the feasible lane-change trajectories and show the good performance of approximating the real lane-change trajectories.
  • Keywords
    control engineering computing; driver information systems; path planning; risk management; road safety; auxiliary control; driver assistance system; driver control strategy emulation; dynamic driving behavior model; lane change trajectory generation; lateral acceleration; longitude acceleration; polynomial lane change path planning; risk assessment; vehicle active safety system; Acceleration; Driver circuits; Hidden Markov models; Polynomials; Trajectory; Vehicle dynamics; Vehicles; driving behavior; dynamic model; human behavior learnin; lane-change trajectories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2011 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4577-0268-6
  • Electronic_ISBN
    978-1-4577-0269-3
  • Type

    conf

  • DOI
    10.1109/ICINFA.2011.5949037
  • Filename
    5949037