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A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics
Joint Authors
Guo, Konghui
Cao, Jianyong
Lu, Hui
Zhang, Jianwen
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Based on the preview optimal simple artificial neural network driver model (POSANN), a new driver model, considering jerky dynamics and the tracing error between the real track and the planned path, is established.
In this paper, the modeling for the driver-vehicle system is firstly described, and the relationship between weighting coefficients of driver model and system parameters is examined through test data.
Secondly, the corresponding road test results are presented in order to verify the vehicle model and obtain the information on drive model and vehicle parameters.
Finally, the simulations are carried out via CarSim.
Simulation results indicate that the jerky dynamics need to be considered and the proposed new driver model can achieve a better path-following performance compared with the POSANN driver model.
American Psychological Association (APA)
Cao, Jianyong& Lu, Hui& Guo, Konghui& Zhang, Jianwen. 2013. A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1035811
Modern Language Association (MLA)
Cao, Jianyong…[et al.]. A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1035811
American Medical Association (AMA)
Cao, Jianyong& Lu, Hui& Guo, Konghui& Zhang, Jianwen. A Driver Modeling Based on the Preview-Follower Theory and the Jerky Dynamics. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1035811
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035811