Genetics of traffic assignment models for strategic transport planning

This paper presents a review and classification of traffic assignment models for strategic transport planning purposes by using concepts analogous to genetics in biology. Traffic assignment models share the same theoretical framework (DNA), but differ in functionality (genes). We argue that all traffic assignment models can be described by two genes. The first gene determines the spatial functionality (unrestricted, capacity restrained, capacity constrained, capacity and storage constrained) described by five spatial interaction assumptions, while the second gene determines the temporal functionality (static, semi-dynamic, dynamic) described by two temporal interaction assumptions. This classification provides a deeper understanding of the often implicit assumptions made in traffic assignment models described in the literature, particularly with respect to networking loading where the largest differences occur. It further allows for comparing different models in terms of functionality, and opens the way for developing novel traffic assignment models.

  • Record URL:
  • Corporate Authors:

    University of Sydney. Institute of Transport and Logistics Studies

    University of Sydney, 144 Burren Street, Newtown, New South Wales, 2042, Australia
    Sydney, New South Wales   
  • Authors:
    • Bliemer, M
    • Raadsen, M
    • Brederode, L
    • Bell, M
    • Wismans, L
    • Smith, M
  • Publication Date: 2016-1


  • English

Media Info

  • Pagination: 21p
  • Serial:
    • Issue Number: ITLS-WP-16-01

Subject/Index Terms

Filing Info

  • Accession Number: 01594985
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Mar 30 2016 10:53AM