Multimodal Transportation Simulation for Emergencies using the Link Transmission Model

Jeroen van der Gun

doi:10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

Multimodal Transportation Simulation for Emergencies using the Link Transmission Model

Jeroen van der Gun

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

280 Downloads (Pure)

Abstract

Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic network loading models, and develops extensions of the Link Transmission Model to deal with more complex and variable fundamental diagrams and initially non-empty roads.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	van Arem, B., Promotor Pel, A.J., Promotor
Thesis sponsors	Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) National Natural Science Foundation of China (NSFC)
Award date	24 May 2018
Place of Publication	Delft, The Netherlands
Publisher	TRAIL Research School
Print ISBNs	978-90-5584-235-3
DOIs	https://doi.org/10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b
Publication status	Published - 2018

Bibliographical note

TRAIL Thesis Series no. T2018/3, the Netherlands Research School TRAIL

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

urban emergencies
evacuation modelling
choice modelling
activity-based modelling
dynamic network loading
multimodal networks
agent-based modelling
macroscopic traffic model
en-route choice
Link Transmission Model
Lighthill-Whitham-Richards theory
first-order model
capacity drop
node model
stop-and-go wave
Smulders fundamental diagram
traffic control
environmental conditions
bus bridging
network disruptions

Access to Document

10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

DissertationFinal published version, 9.67 MBLicence: Unspecified

Cite this

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title = "Multimodal Transportation Simulation for Emergencies using the Link Transmission Model",

abstract = "Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic network loading models, and develops extensions of the Link Transmission Model to deal with more complex and variable fundamental diagrams and initially non-empty roads.",

keywords = "urban emergencies, evacuation modelling, choice modelling, activity-based modelling, dynamic network loading, multimodal networks, agent-based modelling, macroscopic traffic model, en-route choice, Link Transmission Model, Lighthill-Whitham-Richards theory, first-order model, capacity drop, node model, stop-and-go wave, Smulders fundamental diagram, traffic control, environmental conditions, bus bridging, network disruptions",

author = "\{van der Gun\}, Jeroen",

note = "TRAIL Thesis Series no. T2018/3, the Netherlands Research School TRAIL",

year = "2018",

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language = "English",

isbn = "978-90-5584-235-3",

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type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

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TY - THES

T1 - Multimodal Transportation Simulation for Emergencies using the Link Transmission Model

AU - van der Gun, Jeroen

N1 - TRAIL Thesis Series no. T2018/3, the Netherlands Research School TRAIL

PY - 2018

Y1 - 2018

N2 - Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic network loading models, and develops extensions of the Link Transmission Model to deal with more complex and variable fundamental diagrams and initially non-empty roads.

AB - Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic network loading models, and develops extensions of the Link Transmission Model to deal with more complex and variable fundamental diagrams and initially non-empty roads.

KW - urban emergencies

KW - evacuation modelling

KW - choice modelling

KW - activity-based modelling

KW - dynamic network loading

KW - multimodal networks

KW - agent-based modelling

KW - macroscopic traffic model

KW - en-route choice

KW - Link Transmission Model

KW - Lighthill-Whitham-Richards theory

KW - first-order model

KW - capacity drop

KW - node model

KW - stop-and-go wave

KW - Smulders fundamental diagram

KW - traffic control

KW - environmental conditions

KW - bus bridging

KW - network disruptions

UR - http://resolver.tudelft.nl/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

U2 - 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

DO - 10.4233/uuid:2c9d2734-4189-4573-a32c-110beed8f45b

M3 - Dissertation (TU Delft)

SN - 978-90-5584-235-3

VL - T2018/3

T3 - TRAIL Thesis Series

PB - TRAIL Research School

CY - Delft, The Netherlands

ER -

Multimodal Transportation Simulation for Emergencies using the Link Transmission Model

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Optimizing Tailored Bus Bridging Paths

The link transmission model with variable fundamental diagrams and initial conditions

Extending the Link Transmission Model with non-triangular fundamental diagrams and capacity drops

Cite this