Node Dependency in Multi-Commodity Flow Problem with Applications to Transportation Networks

In this research,the authors study the multi-commodity flow problem (MCFP) in the context of air transportation systems. MCFP deals with assigning a variety of goods to flow from sources to their destinations in a network. While many optimization problems in transportation networks can be formulated as a classic MCFP, previous research has mostly considered the edge capacity as a network flow constraint. Based on a traditional path-flow model and edge-flow model, this research proposes new modifications with the consideration of node capacity in the network. In addition, the authors implement new optimization heuristics improving the path-finding stage of the algorithm. These optimizations allow them to solve the MCFP for networks with around one hundred nodes. Based on these results, the define and compute the node-dependency relationship in MCFP networks. For preliminary evaluation, their novel techniques are evaluated on an air transportation network consisting of 164 nodes. The experiment showed that dependencies on a node are the results of joint influence of the network structure factors and flows. Moreover, the dependencies in their network come in geographical clusters.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 1989-2001
  • Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics

Subject/Index Terms

Filing Info

  • Accession Number: 01609295
  • Record Type: Publication
  • ISBN: 9780784479896
  • Files: TRIS, ASCE
  • Created Date: Jun 29 2016 3:07PM