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

Civil Engineering

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