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Title: Continuous Kinematic Wave Models of Merging Traffic Flow
Accession Number: 01126589
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Traffic dynamics at a merging junction can be numerically solved with discrete conservation equations and so-called supply-demand methods. In this paper, the authors first introduce a continuous multi-commodity kinematic wave model of merging traffic and then develop a new framework for constructing the solutions to its Riemann problem with jump initial conditions. In the supply-demand space, the solutions on a link consist of an interior state and a stationary state, subject to admissible conditions such that there are no positive and negative kinematic waves on the upstream and downstream links respectively. In addition, the solutions have to satisfy entropy conditions defined by the supply-demand method in the interior states and a corresponding distribution scheme. For a merging junction with two upstream links, the authors prove that the stationary states and boundary fluxes exist and are unique for the Riemann problem for both fair and constant distribution schemes. With a numerical example, the authors demonstrate that the boundary fluxes converge to the analytical solutions at any positive time when we decrease the period of a time interval.
Monograph Title: Monograph Accession #: 01120148
Report/Paper Numbers: 09-2404
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Jin, Wen-LongPagination: 25p
Publication Date: 2009
Conference:
Transportation Research Board 88th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Appendices
(2)
; Figures
(12)
; References
(23)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2009 Paper #09-2404
Files: TRIS, TRB
Created Date: Jan 30 2009 6:45PM
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