Evaluation of French motorway network in relation to slime mould transport networks
Authored by Jeff Jones, Andrew Adamatzky, Olivier Allard, Rachel Armstrong
Date Published: 2017
DOI: 10.1177/0265813515626924
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Abstract
France has developed a high quality motorway system that has been
rapidly rationalised and matured in the late 20th century yet has been
founded on ancient, Roman infrastructures. The development of the
motorway system is thus an iterative method associated with hierarchical
`top-down' processes taking into consideration factors such as
population density, network demand, location of natural resources, civil
engineering challenges and population growth. At the opposite extreme to
this approach is the development of transport networks within simple
biological systems which are typically decentralised, dynamic and emerge
from simple, local and `bottom-up' interactions. We examine the notion,
and to what extent, that the structure of a complex motorway network
could be predicted by the transport network of the single-celled slime
mould Physarum polycephalum. This comparison is explored through its
ability to `deduce' the French motorway network in a series of analogue
and digital experiments. We compare Physarum network and motorway
network topology in relation to proximity graphs and assess the
trade-off between connectivity and minimal network length with a
bottom-up model of a virtual plasmodium. We demonstrate that despite the
apparent complexity of the challenge, Physarum can successfully apply
its embodied intelligence to rationalise the motorway topology. We also
demonstrate that such calculations prove challenging in the face of
significant obstacles such as, mountainous terrain and may account for
the missing route between Nice, Grenoble, Avignon and Lyon. Finally, we
discuss the topological findings with respect to circle and spoke city
planning infrastructures and certain species of web-building spiders.
Tags
graphs
Design
self-organisation
Agent-based modelling (ABM)
Planning theory
Physarum-polycephalum