Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis

Nirvana Pecorari; Marco Rinaldi; Serge Hoogendoorn

doi:10.1109/MT-ITS56129.2023.10241647

Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis

Nirvana Pecorari^*, Marco Rinaldi, Serge Hoogendoorn

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Our cities are growing at an unprecedented pace. The flexible use of metropolitan infrastructures is the key to maintaining, if not increasing, the current quality of life. The combined use of geo-fence technology and connected vehicles can be the tool to achieve this flexibility. In this paper, we take a first step in the evaluation of the benefits that dynamic geo-fencing could bring. In a simulation-based environment, we employ a computer vision approach to dynamically identify congested areas in a given transportation network. We then compare the performance of perimeter control based on dynamic geo-fencing vs conventional perimeter strategies, based on a fixed, pre-determined area-a scenario mimicking traffic management approaches currently deployed in large metropolitan areas worldwide. Simulation results highlight a reduction of more than 20% of the Total Time Spent in a regular Manhattan grid network, encouraging further efforts to validate the efficiency of dynamic geo-fencing in addressing externalities (congestion, pollution, noise, etc.) in more realistic scenarios.

Original language	English
Title of host publication	2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781665455305
DOIs	https://doi.org/10.1109/MT-ITS56129.2023.10241647
Publication status	Published - 2023
Event	8th International Conference on Models and Technologies for Intelligent Transportation Systems - Nice, France Duration: 14 Jun 2023 → 16 Jun 2023 Conference number: 8 https://mt-its2023.eurecom.fr/

Conference

Conference	8th International Conference on Models and Technologies for Intelligent Transportation Systems
Abbreviated title	MT-ITS 2023
Country/Territory	France
City	Nice
Period	14/06/23 → 16/06/23
Internet address	https://mt-its2023.eurecom.fr/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

congestion management
geo-fencing
Macroscopic Fundamental Diagram (MFD)
perimeter control

UN SDGs

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

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10.1109/MT-ITS56129.2023.10241647

Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based AnalysisFinal published version, 580 KB

Cite this

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title = "Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis",

abstract = "Our cities are growing at an unprecedented pace. The flexible use of metropolitan infrastructures is the key to maintaining, if not increasing, the current quality of life. The combined use of geo-fence technology and connected vehicles can be the tool to achieve this flexibility. In this paper, we take a first step in the evaluation of the benefits that dynamic geo-fencing could bring. In a simulation-based environment, we employ a computer vision approach to dynamically identify congested areas in a given transportation network. We then compare the performance of perimeter control based on dynamic geo-fencing vs conventional perimeter strategies, based on a fixed, pre-determined area-a scenario mimicking traffic management approaches currently deployed in large metropolitan areas worldwide. Simulation results highlight a reduction of more than 20% of the Total Time Spent in a regular Manhattan grid network, encouraging further efforts to validate the efficiency of dynamic geo-fencing in addressing externalities (congestion, pollution, noise, etc.) in more realistic scenarios.",

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author = "Nirvana Pecorari and Marco Rinaldi and Serge Hoogendoorn",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023 ; Conference date: 14-06-2023 Through 16-06-2023",

year = "2023",

doi = "10.1109/MT-ITS56129.2023.10241647",

language = "English",

booktitle = "2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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}

Pecorari, N , Rinaldi, M & Hoogendoorn, S 2023, Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis. in 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023. Institute of Electrical and Electronics Engineers (IEEE), 8th International Conference on Models and Technologies for Intelligent Transportation Systems, Nice, France, 14/06/23. https://doi.org/10.1109/MT-ITS56129.2023.10241647

Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis. / Pecorari, Nirvana ; Rinaldi, Marco ; Hoogendoorn, Serge.
2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T2 - 8th International Conference on Models and Technologies for Intelligent Transportation Systems

AU - Pecorari, Nirvana

AU - Rinaldi, Marco

AU - Hoogendoorn, Serge

N1 - Conference code: 8

PY - 2023

Y1 - 2023

N2 - Our cities are growing at an unprecedented pace. The flexible use of metropolitan infrastructures is the key to maintaining, if not increasing, the current quality of life. The combined use of geo-fence technology and connected vehicles can be the tool to achieve this flexibility. In this paper, we take a first step in the evaluation of the benefits that dynamic geo-fencing could bring. In a simulation-based environment, we employ a computer vision approach to dynamically identify congested areas in a given transportation network. We then compare the performance of perimeter control based on dynamic geo-fencing vs conventional perimeter strategies, based on a fixed, pre-determined area-a scenario mimicking traffic management approaches currently deployed in large metropolitan areas worldwide. Simulation results highlight a reduction of more than 20% of the Total Time Spent in a regular Manhattan grid network, encouraging further efforts to validate the efficiency of dynamic geo-fencing in addressing externalities (congestion, pollution, noise, etc.) in more realistic scenarios.

AB - Our cities are growing at an unprecedented pace. The flexible use of metropolitan infrastructures is the key to maintaining, if not increasing, the current quality of life. The combined use of geo-fence technology and connected vehicles can be the tool to achieve this flexibility. In this paper, we take a first step in the evaluation of the benefits that dynamic geo-fencing could bring. In a simulation-based environment, we employ a computer vision approach to dynamically identify congested areas in a given transportation network. We then compare the performance of perimeter control based on dynamic geo-fencing vs conventional perimeter strategies, based on a fixed, pre-determined area-a scenario mimicking traffic management approaches currently deployed in large metropolitan areas worldwide. Simulation results highlight a reduction of more than 20% of the Total Time Spent in a regular Manhattan grid network, encouraging further efforts to validate the efficiency of dynamic geo-fencing in addressing externalities (congestion, pollution, noise, etc.) in more realistic scenarios.

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KW - geo-fencing

KW - Macroscopic Fundamental Diagram (MFD)

KW - perimeter control

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M3 - Conference contribution

AN - SCOPUS:85175398162

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PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 14 June 2023 through 16 June 2023

ER -

Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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