Efficient Algorithms for Network-Wide Road Traffic Control

Goof Sterk van de Weg

doi:10.4233/uuid:dd6d52a5-b091-44c1-ba45-f96c8c3c3590

Efficient Algorithms for Network-Wide Road Traffic Control

Goof Sterk van de Weg

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

122 Downloads (Pure)

Abstract

Controlling road traffic networks is a complex problem. One of the difficulties is the coordination of actuators, such as traffic lights, variables speed limits, ramp metering and route guidance, with the aim to improve the network performance over a near-future time horizon. This dissertation develops algorithms that specifically balance fast computation time and improved traffic network performance; both for freeway traffic in part I, and for urban traffic in part II.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Hoogendoorn, S.P., Supervisor Hegyi, A., Advisor
Thesis sponsors	Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Award date	26 Oct 2017
Publisher	TRAIL Research School
Print ISBNs	978-90-5584-229-2
DOIs	https://doi.org/10.4233/uuid:dd6d52a5-b091-44c1-ba45-f96c8c3c3590
Publication status	Published - 2017

Bibliographical note

TRAIL Thesis Series no. T2017/11, the Netherlands TRAIL Research School

Keywords

Traffic Control
Model predictive control (MPC)
Link Transmission Model
Variable speed limits
Ramp metering
Route guidance
Intersection control
Road traffic
METANET

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10.4233/uuid:dd6d52a5-b091-44c1-ba45-f96c8c3c3590

Dissertation_GSvandeWeg_1_10_2017Final published version, 6.18 MB

Cite this

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title = "Efficient Algorithms for Network-Wide Road Traffic Control",

abstract = "Controlling road traffic networks is a complex problem. One of the difficulties is the coordination of actuators, such as traffic lights, variables speed limits, ramp metering and route guidance, with the aim to improve the network performance over a near-future time horizon. This dissertation develops algorithms that specifically balance fast computation time and improved traffic network performance; both for freeway traffic in part I, and for urban traffic in part II.",

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AB - Controlling road traffic networks is a complex problem. One of the difficulties is the coordination of actuators, such as traffic lights, variables speed limits, ramp metering and route guidance, with the aim to improve the network performance over a near-future time horizon. This dissertation develops algorithms that specifically balance fast computation time and improved traffic network performance; both for freeway traffic in part I, and for urban traffic in part II.

KW - Traffic Control

KW - Model predictive control (MPC)

KW - Link Transmission Model

KW - Variable speed limits

KW - Ramp metering

KW - Route guidance

KW - Intersection control

KW - Road traffic

KW - METANET

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M3 - Dissertation (TU Delft)

SN - 978-90-5584-229-2

T3 - TRAIL Thesis Series

PB - TRAIL Research School

ER -

Efficient Algorithms for Network-Wide Road Traffic Control

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Urban network throughput optimization via model predictive control using the link transmission model

Efficient model predictive control for variable speed limits by optimizing parameterized control schemes

Cooperative systems based control for integrating ramp metering and variable speed limits

Cite this