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.