Static Traffic Assignment with Queuing: Model properties and applications

Luuk Brederode, Adam Pel, Luc Wismansa, Erik de Romph, Serge Hoogendoorn

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)
135 Downloads (Pure)


This paper describes the road traffic assignment model Static Traffic Assignment with Queuing (STAQ) that was developed for situations where both static (STA) and dynamic (DTA) traffic assignment models are insufficient: strategic applications on large-scale congested networks. The paper demonstrates how the model overcomes shortcomings in STA and DTA modelling approaches in the strategic context by describing its concept, methodology and solution algorithm as well as by presenting model applications on (small) theoretical and (large) real-life networks. The STAQ model captures flow metering and spillback effects of bottlenecks like in DTA models, while its input and computational requirements are only slightly higher than those of STA models. It does so in a very tractable fashion, and acquires high-precision user equilibria (relative gap < 1E-04) on large-scale networks. In light of its accuracy, robustness and accountability, the STAQ model is discussed as a viable alternative to STA and DTA modelling approaches.
Original languageEnglish
Pages (from-to)179-214
Number of pages37
JournalTransportmetrica A: Transport Science
Volume15 (2019)
Issue number2
Publication statusPublished - 2017


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