| MODELING AND ANALYZING INDIVIDUAL DRIVER’S STEERING
BEHAVIOR BASED ON ROLLING LOCAL-PATH PLANNING DECISION |
| Xiaobing Chen 1, Qiang Yao 2, Ju Zhang 1 |
1Department of Automotive Engineering, Hubei University of Automotive Technology
2Dongfeng Motor Corporation R&D Center |
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| ABSTRACT |
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A good understanding driver behavior is significant in the development of chassis control system and
autonomous vehicles. To better simulate human drivers, the driver model with the local path rolling planning decision is
developed based on model predictive control algorithm. Firstly, three local path planning methods of straight-line driving,
circular-arc driving and B-spline curve driving are designed to describe the different steering styles. Secondly, the linear timevarying
(LTV) MPC controller is established to follow the local planned path. Finally, the two typical simulations are carried
out and compared with the single-point preview driver model and the optimal preview driver model. And, the results indicate
that the proposed driver model is suitable for simulating diversity of the human driver’s driving characteristics. |
| Key Words:
Steering characteristics, Model predictive control, Driving style, Local planning path |
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Corresponding Author.
Xiaobing Chen , Email. 
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