A multilayer optimisation framework for policy-based traffic signal control

Tuomas Toivio; Iisakki Kosonen; Claudio Roncoli

doi:10.1109/FISTS46898.2020.9264870

A multilayer optimisation framework for policy-based traffic signal control

Tuomas Toivio, Iisakki Kosonen, Claudio Roncoli

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

123 Downloads (Pure)

Abstract

Traffic performance has many positive and negative consequences to the environment and society. These external effects are ever more often considered in the traffic system planning and administration. Desired effects of traffic can be thought as traffic performance policies. It is also possible to support these policies through traffic management and traffic signal controllers. In this study we introduce a general framework for a process flow which allows signalised junction controllers to adapt into desired policy. Also, we present an example implementation of the processes of the framework, and experiment with it by optimising a signal controller in a microscopic traffic simulation environment.

Original language	English
Title of host publication	2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
Publisher	IEEE
Pages	347-352
Number of pages	6
ISBN (Electronic)	978-1-7281-9503-2
DOIs	https://doi.org/10.1109/FISTS46898.2020.9264870
Publication status	Published - 3 Nov 2020
MoE publication type	A4 Conference publication
Event	IEEE Forum on Integrated and Sustainable Transportation Systems - Delft, Netherlands Duration: 3 Nov 2020 → 5 Nov 2020

Conference

Conference	IEEE Forum on Integrated and Sustainable Transportation Systems
Abbreviated title	FISTS
Country/Territory	Netherlands
City	Delft
Period	03/11/2020 → 05/11/2020

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10.1109/FISTS46898.2020.9264870

ENG_Toivio_et_al_A_Multilayer_optimisation_framework_FISTS_2020Accepted author manuscript, 178 KB

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title = "A multilayer optimisation framework for policy-based traffic signal control",

abstract = "Traffic performance has many positive and negative consequences to the environment and society. These external effects are ever more often considered in the traffic system planning and administration. Desired effects of traffic can be thought as traffic performance policies. It is also possible to support these policies through traffic management and traffic signal controllers. In this study we introduce a general framework for a process flow which allows signalised junction controllers to adapt into desired policy. Also, we present an example implementation of the processes of the framework, and experiment with it by optimising a signal controller in a microscopic traffic simulation environment.",

author = "Tuomas Toivio and Iisakki Kosonen and Claudio Roncoli",

year = "2020",

month = nov,

day = "3",

doi = "10.1109/FISTS46898.2020.9264870",

language = "English",

pages = "347--352",

booktitle = "2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020",

publisher = "IEEE",

address = "United States",

note = "IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS ; Conference date: 03-11-2020 Through 05-11-2020",

}

Toivio, T , Kosonen, I & Roncoli, C 2020, A multilayer optimisation framework for policy-based traffic signal control. in 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020., 9264870, IEEE, pp. 347-352, IEEE Forum on Integrated and Sustainable Transportation Systems, Delft, Netherlands, 03/11/2020. https://doi.org/10.1109/FISTS46898.2020.9264870

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T1 - A multilayer optimisation framework for policy-based traffic signal control

AU - Toivio, Tuomas

AU - Kosonen, Iisakki

AU - Roncoli, Claudio

PY - 2020/11/3

Y1 - 2020/11/3

N2 - Traffic performance has many positive and negative consequences to the environment and society. These external effects are ever more often considered in the traffic system planning and administration. Desired effects of traffic can be thought as traffic performance policies. It is also possible to support these policies through traffic management and traffic signal controllers. In this study we introduce a general framework for a process flow which allows signalised junction controllers to adapt into desired policy. Also, we present an example implementation of the processes of the framework, and experiment with it by optimising a signal controller in a microscopic traffic simulation environment.

AB - Traffic performance has many positive and negative consequences to the environment and society. These external effects are ever more often considered in the traffic system planning and administration. Desired effects of traffic can be thought as traffic performance policies. It is also possible to support these policies through traffic management and traffic signal controllers. In this study we introduce a general framework for a process flow which allows signalised junction controllers to adapt into desired policy. Also, we present an example implementation of the processes of the framework, and experiment with it by optimising a signal controller in a microscopic traffic simulation environment.

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U2 - 10.1109/FISTS46898.2020.9264870

DO - 10.1109/FISTS46898.2020.9264870

M3 - Conference article in proceedings

SP - 347

EP - 352

BT - 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020

PB - IEEE

T2 - IEEE Forum on Integrated and Sustainable Transportation Systems

Y2 - 3 November 2020 through 5 November 2020

ER -

A multilayer optimisation framework for policy-based traffic signal control

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