Influence diagrams for the optimization of a vehicle speed profile
Abstract
Influence diagrams are decision theoretic extensions of Bayesian networks. They are applied to diverse decision problems. In this paper we apply influence diagrams to the optimization of a vehicle speed profile. We present results of computational experiments in which an influence diagram was used to optimize the speed profile of a Formula 1 race car at the Silverstone F1 circuit. The computed lap time and speed profiles correspond well to those achieved by test pilots. An extended version of our model that considers a more complex optimization function and diverse traffic constraints is currently being tested onboard a testing car by a major car manufacturer. This paper opens doors for new applications of influence diagrams.
Keywords
Cite
@article{arxiv.1511.09300,
title = {Influence diagrams for the optimization of a vehicle speed profile},
author = {Václav Kratochvíl and Jiří Vomlel},
journal= {arXiv preprint arXiv:1511.09300},
year = {2015}
}
Comments
Presented at the Twelfth Annual Bayesian Modeling Applications Workshop, Amtsterdam, The Netherlands, 16th July 2015