Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion
Vander L. S. Freitas, Elbert E. N. Macau
2017
Abstract
In this work we introduce a reactive agent-based model for convergence of autonomous vehicles to parallel formations heading to predefined directions of motion. They interact via rules of repulsion, alignment and attraction. There is also an abstraction of the desired path of motion, represented by a virtual guiding vehicle, which shows the desired direction to be followed by the formation. We performed simulations with different combinations of interaction rules and studied the parameter space. Additionally, we simulate the occurrence of communication failure among agents and the presence of noise. The resulting formations are evaluated by three quantifiers.
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in Harvard Style
L. S. Freitas V. and E. N. Macau E. (2017). Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 166-173. DOI: 10.5220/0006187201660173
in Bibtex Style
@conference{icaart17,
author={Vander L. S. Freitas and Elbert E. N. Macau},
title={Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={166-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006187201660173},
isbn={978-989-758-219-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion
SN - 978-989-758-219-6
AU - L. S. Freitas V.
AU - E. N. Macau E.
PY - 2017
SP - 166
EP - 173
DO - 10.5220/0006187201660173