2012
DOI: 10.1016/j.physa.2011.07.046
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Traffic gridlock on complex networks

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Cited by 57 publications
(24 citation statements)
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“…It mainly considers the Swiss road network and different boundary conditions. In any case, this is certainly the first study to use real network data in the framework of Mendes' approach [29].…”
Section: Introductionmentioning
confidence: 95%
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“…It mainly considers the Swiss road network and different boundary conditions. In any case, this is certainly the first study to use real network data in the framework of Mendes' approach [29].…”
Section: Introductionmentioning
confidence: 95%
“…To do it, we will use the model introduced by mendes et al [29] which is based on the conservation of the number of vehicles and provides an easy and fast way to monitor the formation of traffic jams and flux in large road networks. The parameters which were taken account to simulate the scenario of disaster are: the maximum allowed speed, the length, the capacity and the position of each road.…”
Section: Introductionmentioning
confidence: 99%
“…For example, some important dynamical processes on the basis of Apollonian models [14], a kind of deterministic graphs of scale-free, small-world, Euclidean, space-filling and matching graphs, are researched densely. The accurate analytical solutions are derived, including percolation [15], electrical conduction [14], Ising models [14], quantum transport [16], partially connected feedforward neural networks [17], traffic gridlock [18], Bose-Einstein condensation [19], Free-electron gas [20], and so on. However, the physical processes on FG are still lacking, for the recursive relationship in FG are more complex than Apollonian networks.…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in studies of complex networks motivated the researches on the features and dynamics of scale-free communication networks. [5][6][7][8][9][10][11] With the increasing demand for transmitting big data, congestion becomes a considerable challenge in many real communication systems. It will be di±cult to recover large systems from congested state to free-°ow state.…”
Section: Introductionmentioning
confidence: 99%