Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

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doi:10.4233/uuid:9363fddf-aeed-4fcc-82bd-23bcced5cc6d

Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

Doctoral Thesis (2023)

Author(s)

L.J.N. Brederode (TU Delft - Transport and Planning)

Research Group

Transport and Planning

Copyright

Model Big data Static Traffic assignment Strategic transport planning Spatial assumptions Temporal assumptions Behavioral assumptions Fundamental diagram Model capabilities STAQ Large scale Congested networks Semi-dynamic User Equilllibrium Travel demand Matrix estimation Strict capacity constraints Floating car data ANPR data Bluetooth data Congestion patterns Route travel times Prior OD matrix Mathematical properties

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https://doi.org/10.4233/uuid:9363fddf-aeed-4fcc-82bd-23bcced5cc6d

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Publication Year

2023

Language

English

Copyright

Research Group

Transport and Planning

ISBN (print)

978-90-5584-330-5

Reuse Rights

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Abstract

Strategic traffic assignment (TA) models assess long-term effects of policies on route choices of travelers. To meet stability requirements, current strategic TA models lack modelling of queues. This thesis develops two TA models that include queue modelling whilst satisfying stability requirements along with a method to fuse observed link flows, congestion patterns and -delays. All methods are shown to be applicable in the large-scale strategic application context.

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