@Article{FreitasSousMaca:2018:ReMoAu,
author = "Freitas, Vander Luis de Souza and Sousa, Fabiano Luis de and
Macau, Elbert Einstein Nehrer",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de S{\~a}o Paulo (UNIFESP)}",
title = "Reactive model for autonomous vehicles formation following a
mobile reference",
journal = "Applied Mathematical Modelling",
year = "2018",
volume = "61",
pages = "167--180",
keywords = "Collective Motion, Reactive agents, Multiagent Systems,
Evolutionary Optimization.",
abstract = "The emergence of collective motion in nature is ubiquitous and can
be observed from colonies of bacteria to flocks of birds. The
scientific community is interested in understanding how the local
interactions drive the crowd toward global behaviors. This paper
presents an agent-based reactive model for groups of vehicles that
aims to make the formation to follow a moving reference,
represented as a virtual agent. The model is called reactive
because the agents do not keep previous information but only
respond to the current system state. Moreover, they only
communicate with their close neighbors, limited by their sensory
radius, except with the virtual agent that can be seen by everyone
at the whole time. The aim of the model is to group the agents
around the virtual agent while it moves to desirable directions.
We solve the inverse problem of parameter estimation in order to
drive the model toward specific objectives. This task is performed
with the Generalized Extremal Optimization (GEO) algorithm, and
the results are tested with path planning scenarios.",
doi = "10.1016/j.apm.2018.04.011",
url = "http://dx.doi.org/10.1016/j.apm.2018.04.011",
issn = "0307-904X",
label = "lattes: 5339877279308939 1 FreitasSousMaca:2018:ReMoAu",
language = "en",
targetfile = "freitas_reactive.pdf",
url = "https://authors.elsevier.com/a/1W-OX,703pyWEB",
urlaccessdate = "27 abr. 2024"
}