2014
DOI: 10.4171/emss/2
|View full text |Cite
|
Sign up to set email alerts
|

Flows on networks: recent results and perspectives

Abstract: The broad research thematic of flows on networks was addressed in recent years by many researchers, in the area of applied mathematics, with new models based on partial differential equations. The latter brought a significant innovation in a field previously dominated by more classical techniques from discrete mathematics or methods based on ordinary differential equations. In particular, a number of results, mainly dealing with vehicular traffic, supply chains and data networks, were collected in two monograp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
154
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 163 publications
(154 citation statements)
references
References 106 publications
(254 reference statements)
0
154
0
Order By: Relevance
“…Macroscopic models of traffic flows are nowadays a consolidated and nonetheless continuously in ferment field of mathematical research from both theoretical and applied points of view, as the surveys [5,17,18,20] and the books [7,13,19] demonstrate.…”
Section: Introductionmentioning
confidence: 99%
“…Macroscopic models of traffic flows are nowadays a consolidated and nonetheless continuously in ferment field of mathematical research from both theoretical and applied points of view, as the surveys [5,17,18,20] and the books [7,13,19] demonstrate.…”
Section: Introductionmentioning
confidence: 99%
“…[1,3,5,6,9,13,15] and also the monograph [16]. Here we focus on transport on networks, modelled by a system of first order transport equations on the edges of the digraph representing the network.…”
Section: Introductionmentioning
confidence: 99%
“…Identifying generic self-organization principles [6,7] that control the dynamics of these biological or artificial far-fromequilibrium systems remains one of the foremost challenges of modern statistical physics. Despite promising experimental [3,[8][9][10] and theoretical [1,4,[11][12][13] advances over the past decade, it is not well understood how the interactions between local energy input, dissipation, and network topology determine the coordinated global behaviors of cells [8], plasmodia [3], or tissues [14]. Further progress requires analytically tractable models that help clarify the underlying nonequilibrium mode-selection principles [15].…”
mentioning
confidence: 99%
“…Identifying generic self-organization principles [6,7] that control the dynamics of these biological or artificial far-fromequilibrium systems remains one of the foremost challenges of modern statistical physics. Despite promising experimental [3,[8][9][10] and theoretical [1,4,[11][12][13] advances over the past decade, it is not well understood how the interactions between local energy input, dissipation, and network topology determine the coordinated global behaviors of cells [8] [19], the theory accounts for network activity through a nonlinear friction [19][20][21]. We work in a fully compressible framework allowing accumulated matter at vertices to affect flow through network pressure gradients, generalizing previous work on incompressible pseudoequilibrium active flow networks [22,23], as suited to the many biological systems exhibiting flexible network geometry [3] or variations in the density of active components [7].…”
mentioning
confidence: 99%