Unsupervised Transport Vehicle Control: Simulation Study and Performance Results

2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Proceedings 2020
Anna Beinaroviča, Mihails Gorobecs, Ivars Alps

This paper presents current results of the research, aimed at the developing of motion control algorithms and systems for unsupervised electric vehicles, and discusses the results of the computer simulations and necessary parameters. The task of current research is to develop immune neural network based system structure and computer model for analyzing the situation and minimizing the collision probability by changing electrical vehicles movement parameters, to develop the computer model and to find appropriate parameters for best simulation results.

Keywords
Transport safety , collision probability , possible crossing point , anti-collision system , autonomous vehicle , vehicles team
DOI
10.1109/RTUCON51174.2020.9316595
Hyperlink
https://ieeexplore.ieee.org/document/9316595

Beinaroviča, A., Gorobecs, M., Alps, I. Unsupervised Transport Vehicle Control: Simulation Study and Performance Results. In: 2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2020): Proceedings, Latvia, Riga, 5-7 November, 2020. Piscataway: IEEE, 2020, pp.303-308. ISBN 978-1-7281-9511-7. e-ISBN 978-1-7281-9510-0. Available from: doi:10.1109/RTUCON51174.2020.9316595

Publication language
English (en)