Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

L.J.N. Brederode

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

Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

L.J.N. Brederode

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

177 Downloads (Pure)

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.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Pel, A.J., Supervisor Hoogendoorn, S.P., Supervisor
Thesis sponsors	DAT.Mobility Goudappel Mobility Consultants
Award date	27 Oct 2023
Print ISBNs	978-90-5584-330-5
DOIs	https://doi.org/10.4233/uuid:9363fddf-aeed-4fcc-82bd-23bcced5cc6d
Publication status	Published - 2023

Keywords

Traffic assignment
strategic transport planning
spatial assumptions
temporal assumptions
behavioral assumptions
fundamental diagram
model capabilities
STAQ
large scale
congested networks
static
semi-dynamic
model
User Equilllibrium
travel demand
matrix estimation
strict capacity constraints
big data
floating car data
ANPR data
Bluetooth data
congestion patterns
route travel times
prior OD matrix
mathematical properties

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

Dissertation Luuk Brederode including cover pagesFinal published version, 13.2 MBLicence: Unspecified

Cite this

@phdthesis{9363fddfaeed4fcc82bd23bcced5cc6d,

title = "Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems",

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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author = "L.J.N. Brederode",

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AU - Brederode, L.J.N.

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N2 - 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.

AB - 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.

KW - Traffic assignment

KW - strategic transport planning

KW - spatial assumptions

KW - temporal assumptions

KW - behavioral assumptions

KW - fundamental diagram

KW - model capabilities

KW - STAQ

KW - large scale

KW - congested networks

KW - static

KW - semi-dynamic

KW - model

KW - User Equilllibrium

KW - travel demand

KW - matrix estimation

KW - strict capacity constraints

KW - big data

KW - floating car data

KW - ANPR data

KW - Bluetooth data

KW - congestion patterns

KW - route travel times

KW - prior OD matrix

KW - mathematical properties

U2 - 10.4233/uuid:9363fddf-aeed-4fcc-82bd-23bcced5cc6d

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

M3 - Dissertation (TU Delft)

SN - 978-90-5584-330-5

T3 - Trail Thesis Series

ER -

Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

Abstract

Keywords

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