Incorporating Congestion Phenomena into Large Scale Strategic Transport Model Systems

Research output: ThesisDissertation (TU Delft)

153 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 languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Pel, A.J., Supervisor
  • Hoogendoorn, S.P., Supervisor
Thesis sponsors
Award date27 Oct 2023
Print ISBNs978-90-5584-330-5
DOIs
Publication statusPublished - 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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