Title
Efficient mixed integer programming for autonomous overtaking
Date Issued
29 June 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Johannes Kepler de Linz
Abstract
This paper addresses the autonomous overtaking problem using model predictive control. Accordingly, a mixed integer programming approach is put forward in which the surrounding vehicles are considered as moving obstacles. Unlike existing solutions using mixed integer programming, this paper presents more efficient formulations by reducing the number of binary variables, possibly enabling to accelerate the online computation. These algorithms are illustrated via a numerical example in the accurate vehicle simulator IPG CarMaker.
Start page
2303
End page
2308
OCDE Knowledge area
Ingeniería mecánica
Scopus EID
2-s2.0-85027023255
ISSN of the container
07431619
ISBN of the container
9781509059928
Conference
Proceedings of the American Control Conference
Sources of information:
Directorio de Producción Científica
Scopus