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A Traffic Assignment Model Based on Link Densities
Joint Authors
de Grange, Louis
Marechal, Matthieu
González, Felipe
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-27
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
A new model is presented that determines the traffic equilibrium on congested networks using link densities as well as costs in a manner consistent with the fundamental traffic equation.
The solution so derived satisfies Wardrop’s first principle.
This density-based approach recognizes traffic flow reductions that may occur when network traffic congestion is high; also, it estimates queue lengths (i.e., the number of vehicles on saturated links), and it explicitly takes into account the maximum flow a link can handle, which is defined by the fundamental traffic equation.
The model is validated using traffic microsimulations and implemented on a typical Nguyen-Dupuis network to compare it with a flow-based approach.
System optimal assignment model based on link densities is also presented.
American Psychological Association (APA)
de Grange, Louis& Marechal, Matthieu& González, Felipe. 2019. A Traffic Assignment Model Based on Link Densities. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1169941
Modern Language Association (MLA)
de Grange, Louis…[et al.]. A Traffic Assignment Model Based on Link Densities. Journal of Advanced Transportation No. 2019 (2019), pp.1-20.
https://search.emarefa.net/detail/BIM-1169941
American Medical Association (AMA)
de Grange, Louis& Marechal, Matthieu& González, Felipe. A Traffic Assignment Model Based on Link Densities. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1169941
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169941