Reference
R. Luo,
T. J. J. van den Boom, and
B. De Schutter, "Multi-agent dynamic routing of a fleet of cybercars,"
IEEE Transactions on Intelligent Transportation Systems, vol.
19, no. 5, pp. 1340-1352, May 2018.
Abstract
Due to the lack of efficient control methods for a fleet of vehicles throughout
a road network, the large-scale application of cybercars, which are fully
automatic road vehicles providing on-demand and door-to-door transportation
service, is still hindered. Although the fleet control problem for cybercars
can be straightforwardly addressed in a centralized control setting, for
reasons of scalability and fast computation, a centralized control method will
not be tractable for the large-scale use of cybercars in the future. In this
paper, we focus on the dynamic routing of a fleet of cybercars considering
minimization of the combined system cost including the total time spent and the
total energy consumption by all cybercars. We first propose a model of the
dynamics and the energy consumption of a fleet of cybercars based on a
description of the dynamics of every single cybercar and the states of the road
network. After that, we propose several tractable and scalable multi-agent
control methods including multi-agent model predictive control and
parameterized control for the dynamic routing of cybercars. Finally,
experiments by means of numerical simulations illustrate the performance of the
proposed control methods.
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BibTeX
@article{Luovan:17-010,
author = {Luo, Renshi and van den Boom, Ton J. J. and De Schutter, Bart},
title = {Multi-Agent Dynamic Routing of a Fleet of Cybercars},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {19},
number = {5},
pages = {1340--1352},
month = may,
year = {2018}
}