Genetics of traffic assignment models for strategic transport planning

Michiel C J Bliemer, MPH Raadsen, Luuk J N Brederode, MGH Bell, Luc J J Wismans, Mike J. Smith

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)
55 Downloads (Pure)

Abstract

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 capability (genes). We argue that all traffic assignment models can be described by three genes. The first gene determines the spatial capability (unrestricted, capacity restrained, capacity constrained, and capacity and storage constrained) described by four spatial assumptions (shape of the fundamental diagram, capacity constraints, storage constraints, and turn flow restrictions). The second gene determines the temporal capability (static, semi-dynamic, and dynamic) described by three temporal assumptions (wave speeds, vehicle propagation speeds, and residual traffic transfer). The third gene determines the behavioural capability (all-or-nothing, one shot, and equilibrium) described by two behavioural assumptions (decision-making and travel time consideration). This classification provides a deeper understanding of the often implicit assumptions made in traffic assignment models described in the literature. It further allows for comparing different models in terms of functionality, and paves the way for developing novel traffic assignment models.

Original languageEnglish
Pages (from-to)56-78
Number of pages22
JournalTransport Reviews: a transnational, transdisciplinary journal
Volume37
Issue number1
DOIs
Publication statusE-pub ahead of print - 16 Jul 2016

Keywords

  • behavioural assumptions
  • fundamental diagram
  • model capabilities
  • spatial assumptions
  • strategic transport planning
  • temporal assumptions
  • Traffic assignment

Fingerprint Dive into the research topics of 'Genetics of traffic assignment models for strategic transport planning'. Together they form a unique fingerprint.

Cite this