Reducing urban traffic congestion due to localized routing decisions

Bo Li; David Saad; Andrey Y. Lokhov

doi:10.1103/PhysRevResearch.2.032059

Reducing urban traffic congestion due to localized routing decisions

Bo Li
, David Saad
, Andrey Y. Lokhov

Los Alamos National Laboratory

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

19 Downloads (Pure)

Abstract

Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discrete dynamical model comprising users who make their own routing choices on the basis of local information and those who consider routing advice based on localized inducement. We identify the formation of traffic patterns, develop a scalable optimization method for identifying control values used for user guidance, and test the effectiveness of these measures on synthetic and real-world road networks.

Original language	English
Article number	032059(R)
Journal	Physical Review Research
Volume	2
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevResearch.2.032059
Publication status	Published - 2 Sept 2020

Bibliographical note

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Funding: B.L. and D.S. acknowledge support from the Leverhulme Trust
(RPG-2018-092), European Union’s Horizon 2020 research and innovation programme under the Marie SkłodowskaCurie Grant Agreement No. 835913. D.S. acknowledges support from the EPSRC programme grant TRANSNET (EP/R035342/1). A.Y.L. acknowledges support from the Laboratory Directed Research and Development program of Los Alamos National Laboratory under Projects No. 20190059DR and No. 20200121ER.

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

statistical physics, routing, traffic

Access to Document

10.1103/PhysRevResearch.2.032059Licence: CC BY 3.0

Reducing urban traffic congestion due to localized routing decisions
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
Final published version, 423 KBLicence: CC BY 3.0

Cite this

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title = "Reducing urban traffic congestion due to localized routing decisions",

abstract = "Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discrete dynamical model comprising users who make their own routing choices on the basis of local information and those who consider routing advice based on localized inducement. We identify the formation of traffic patterns, develop a scalable optimization method for identifying control values used for user guidance, and test the effectiveness of these measures on synthetic and real-world road networks.",

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note = "Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funding: B.L. and D.S. acknowledge support from the Leverhulme Trust (RPG-2018-092), European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk{\l}odowskaCurie Grant Agreement No. 835913. D.S. acknowledges support from the EPSRC programme grant TRANSNET (EP/R035342/1). A.Y.L. acknowledges support from the Laboratory Directed Research and Development program of Los Alamos National Laboratory under Projects No. 20190059DR and No. 20200121ER.",

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KW - statistical physics, routing, traffic

UR - https://www.scopus.com/pages/publications/85102183473

UR - https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.032059

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Reducing urban traffic congestion due to localized routing decisions

Abstract

Bibliographical note

UN SDGs

Keywords

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