A Cooperative Decentralised Optimization Method for Vehicle Platooning
B. Wudka, C. Thomas, H. Schlingloff
In 20th International Conference on Distributed Computing and Artificial Intelligence 2023, Special Session on Intelligent Systems Applications
Abstract:
This paper deals with optimization strategies in cooperative System-of-Systems. Intelligent systems which want to collaborate need to align their behaviour with respect to individual and group goals. We derive a methodology to generate optimization functions for group members and to normalize them across the fleet. We consider the example of autonomous cars driving in a platoon. For this example we show to derive optimal vehicle speed and distances based on individual preferences. We describe a prototypical implementation of our approach and give some experimental results.
Full Text:
Bibtex:
@inproceedings{wudka2023cooperative,
title={A cooperative decentralised optimization method for vehicle platooning},
author={Wudka, Bj{\"o}rn and Thomas, Carsten and Schlingloff, Bernd-Holger},
booktitle={International Symposium on Distributed Computing and Artificial Intelligence},
pages={71--81},
year={2023},
organization={Springer}
}