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Multi-Object Adaptive Cruise Control

Author(s):

R. Möbus, M. Baotic, M. Morari
Conference/Journal:

Hybrid Systems: Computation and Control, vol. 2623, pp. 359-374, Lecture Notes in Computer Science
Abstract:

In this paper we propose an algorithm for solving a Multi-Object Adaptive Cruise Control problem. In a multi-object traffic scene the optimal acceleration is to be found respecting traffic rules, safety distances and driver intentions. The objective function is modelled as a quadratic cost function for the discrete time piecewise affine system. We find the optimal state-feedback control law by solving the underlying constrained finite time optimal control problem via dynamic programming.

Further Information
Year:

2003
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { M_bBao:2003:IFA_70,
    author={R. M{\"o}bus and M. Baotic and M. Morari},
    title={{Multi-Object Adaptive Cruise Control}},
    journal={Hybrid Systems: Computation and Control},
    year={2003},
    volume={2623},
    number={},
    pages={359--374},
    month=apr,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=70}
}
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