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Title: A Generalized Queuing Model and its Solution Properties
Accession Number: 01558263
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Modeling queuing behavior is central to the analysis of transportation and other service systems. To date, several queuing models been developed, but analytical insights on their global properties are hard to obtain. This is because in most cases, queuing dynamics are formulated as differential or difference equations, with possible discontinuities in their solutions. making most conventional analytical tools inadequate. As a result, simulations are often used to study these models, and if not properly treated, negative flows could arise from the simulation near certain discontinuities. In this paper, the authors propose a continuous-time queuing model that captures generalized queuing dynamics, where bottleneck capacity and demand can vary simultaneously. The authors provide insights on the global properties of this model, upon deriving its closed-form variational solutions. Rather than resorting to the usual Hamilton-Jacobi theory, the derivations are built on an intrinsic periodicity property of the general queuing dynamics combined with measure-theoretic analysis. This treatment allows the authors to obtain results with more complex boundary conditions and make further extensions. The authors demonstrate its applications and show its solution properties in queuing simulation and performance bounding. In particular, the authors provide graphical, iterative and linearized solution schemes, which are all devoid of the well-known negative flow issue associated with numerical solutions to the point queue model.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.
Monograph Title: Monograph Accession #: 01550057
Report/Paper Numbers: 15-5412
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Li, JiaZhang, H MichaelPagination: 17p
Publication Date: 2015
Conference:
Transportation Research Board 94th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2015 Paper #15-5412
Files: TRIS, TRB, ATRI
Created Date: Dec 30 2014 1:49PM
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