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
Link To Document