Modelling Driver Assitance Systems by Optimal Control

Title

Modelling Driver Assitance Systems by Optimal Control

 Author

Wang, M.
Daamen, W.
Hoogendoorn, S.P.
van Arem, B.

Faculty

Civil Engineering and Geosciences

 Department

Transport & Planning

 Date

2012-10-30

 Abstract

Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper put forward a receding horizon control framework to model driver assistance systems. The accelerations of automated vehicles are determined to optimise a cost function, assuming other vehicles driving at stationary conditions over a prediction horizon. The flexibility of the framework is demonstrated with controller design of Adaptive Cruise Control (ACC)systems. The proposed ACC model characteristics are investigated analytically, with focus on equilibrium solutions and stability properties. The proposed ACC model is unconditionally locally stable. By careful tuning of parameters, the ACC model generates similar stability characteristics as human driver models.

 Subject

Driver Assitance Systems
optimal control
car-following
stability analyses

 To reference this document use:

http://resolver.tudelft.nl/uuid:5f6d9a07-1e66-4875-ab30-29327a553042

 Publisher

TRAIL Research School

 Source

TRAIL Beta-Congress: Mobility and logistics - Science Meets Practice, Rotterdam, The Netherlands, 30-31 October 2012

 Part of collection

Institutional Repository

 Document type

conference paper

 Rights

(c) 2012 the Author(s)
TRAIL Research School
Files
PDF 292627.pdf 1.2 MB
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