Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints

Extension of a static into a semi-dynamic traffic assignment model with strict capacity constraints

Brederode, L.J.N. (TU Delft Transport and Planning; DAT.mobility – a Goudappel Company)
Gerards, Lotte (DAT.mobility – a Goudappel Company)
Wismans, Luc (DAT.mobility – a Goudappel Company; University of Twente)
Pel, A.J. (TU Delft Transport and Planning)
Hoogendoorn, S.P. (TU Delft Transport and Planning)

Transport and Planning

2023

To improve the accuracy of large-scale strategic transport models in congested conditions, this paper presents a straightforward extension of a static capacity-constrained traffic assignment model into a semi-dynamic version. The semi-dynamic model is more accurate than its static counterpart as it relaxes the empty network assumption, but, unlike its dynamic counterpart, maintains the stability and scalability properties required for application in large-scale strategic transport model systems. Applications show that, contrary to static models, semi-dynamic queue sizes and delays are very similar to dynamic outcomes, whereas only the congestion patterns differ due to the omission of spillback. The static and semi-dynamic models are able to reach user equilibrium conditions, whereas the dynamic model cannot. On a real-world transport model, the static model omits up to 76% of collective losses. It is therefore very likely that the empty network assumption influences (policy) decisions based on static model outcomes.

large-scale
semi-dynamic
STAQ
traffic assignment model
user equilibrium

http://resolver.tudelft.nl/uuid:578de9c9-9fd0-44bf-a17f-2cfa953c0790

https://doi.org/10.1080/23249935.2023.2249118

2324-9935

Transportmetrica A: Transport Science

Institutional Repository

journal article

© 2023 L.J.N. Brederode, Lotte Gerards, Luc Wismans, A.J. Pel, S.P. Hoogendoorn