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

Aston University
Los Alamos National Laboratory Theoretical Division

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

5 Scopus citations

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
Journal	Physical Review Research
Volume	2
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevResearch.2.032059
State	Published - Sep 2020
Externally published	Yes

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

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10.1103/PhysRevResearch.2.032059

Cite this

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Reducing urban traffic congestion due to localized routing decisions

Abstract

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