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A transport network, or transportation network is a realisation of a spatial network, describing a structure which permits either vehicular movement or flow of some commodity.[1][2] Examples are network of roads and streets, railways, pipes, aqueducts, and power lines. One can distinguish land, sea and air transportation networks. For example, in an airline network, airports can be represented by nodes and flight connections between airports are links.

MethodsEdit

Transport network analysis is used to determine the flow of vehicles (or people) through a transport network, typically using mathematical graph theory. It may combine different modes of transport, for example, walking and car, to model multi-modal journeys. Transport network analysis falls within the field of transport engineering. Traffic has been studied extensively using statistical physics methods.[3][4][5]

Recently a real transport network of Beijing was studied using network approach and percolation theory.[6]

See alsoEdit

ReferencesEdit

  1. ^ M. Barthelemy, "Spatial Networks", Physics Reports 499:1-101 (2011) ( https://arxiv.org/abs/1010.0302 ).
  2. ^ Boeing, G. (2017). "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks". Computers, Environment and Urban Systems. 65: 126–139. arXiv:1611.01890 . doi:10.1016/j.compenvurbsys.2017.05.004. Retrieved 2017-08-26. 
  3. ^ Helbing, D (2001). "Traffic and related self-driven many-particle systems". Review of Modern Physics. 73: 1067. 
  4. ^ S., Kerner, Boris (2004). The Physics of Traffic : Empirical Freeway Pattern Features, Engineering Applications, and Theory. Berlin, Heidelberg: Springer Berlin Heidelberg. ISBN 9783540409861. OCLC 840291446. 
  5. ^ Wolf, D E; Schreckenberg, M; Bachem, A (June 1996). "Traffic and Granular Flow". Traffic and Granular Flow. WORLD SCIENTIFIC. doi:10.1142/9789814531276. ISBN 9789810226350. 
  6. ^ Li, Daqing; Fu, Bowen; Wang, Yunpeng; Lu, Guangquan; Berezin, Yehiel; Stanley, H. Eugene; Havlin, Shlomo (2015-01-20). "Percolation transition in dynamical traffic network with evolving critical bottlenecks". Proceedings of the National Academy of Sciences. 112 (3): 669–672. doi:10.1073/pnas.1419185112. ISSN 0027-8424. PMID 25552558.