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This book continues the biannual series of conference proceedings,
which has become a classical reference resource in traffic and
granular research alike. It addresses new developments at the
interface between physics, engineering and computational science.
Complex systems, where many simple agents, be they vehicles or
particles, give rise to surprising and fascinating phenomena. The
contributions collected in these proceedings cover several research
fields, all of which deal with transport. Topics include highway,
pedestrian and internet traffic, granular matter, biological
transport, transport networks, data acquisition, data analysis and
technological applications. Different perspectives, i.e. modeling,
simulations, experiments and phenomenological observations, are
considered.
This book continues the biannual series of conference proceedings,
which has become a classical reference resource in traffic and
granular research alike. It addresses new developments at the
interface between physics, engineering and computational science.
Complex systems, where many simple agents, be they vehicles or
particles, give rise to surprising and fascinating phenomena. The
contributions collected in these proceedings cover several research
fields, all of which deal with transport. Topics include highway,
pedestrian and internet traffic, granular matter, biological
transport, transport networks, data acquisition, data analysis and
technological applications. Different perspectives, i.e. modeling,
simulations, experiments and phenomenological observations, are
considered.
One approach to modeling flows in the socio-technical systems, for
example road traffic, reduces to decompose the movement of the
collective and the individual components. A collective component is
described by a system of differential equations, and an individual
component corresponds to stochastic movement within the cell
decomposition defined by the collective modes. This monograph
discusses both components with varying degrees of detail including
the regular networks. Moreover we study the cluster model as a
simplified analogue of structures, following from hydrodynamic
approaches, and can be applied for investigation of multi-lane
flows on networks. Basic characteristics of the models are
researched.
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