Reducing urban traffic congestion due to localized routing decisions

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 w...

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Bibliographic Details
Published inPhysical review research Vol. 2; no. 3; p. 032059
Main Authors Li, Bo, Saad, David, Lokhov, Andrey Y.
Format Journal Article
LanguageEnglish
Published United States American Physical Society (APS) 02.09.2020
American Physical Society
Subjects
Computer Science
GENERAL AND MISCELLANEOUS
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Summary: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.
Bibliography:Leverhulme Trust
LA-UR-20-22351
Engineering and Physical Sciences Research Council (EPSRC)
89233218CNA000001; 20190059DR; 20200121ER; RPG-2018-092; 835913; EP/R035342/1
European Research Council (ERC)
USDOE Laboratory Directed Research and Development (LDRD) Program
USDOE National Nuclear Security Administration (NNSA)
ISSN:2643-1564
2643-1564
DOI:10.1103/PhysRevResearch.2.032059