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Title: Dual Expression of Macroscopic Urban Models: Analytical and Numerical Investigations with Piecewise Linear Functions
Accession Number: 01628776
Record Type: Component
Abstract: Large-scale network modeling using the Macroscopic Fundamental Diagram (MFD) is widely based on the single-reservoir model, where the variation of the accumulation of circulating vehicles in the reservoir equals inflow minus outflow. This simple accumulation-based model suffers from the infinite-wave speed dropback, which is problematic when the inflow varies rapidly. To overcome this limitation, a trip-based model has been recently proposed, but whose solution cannot be obtained analytically. In this paper the authors compare both models under piecewise linear MFD and a piecewise constant demand. These assumptions allows to establish the exact solution of the accumulation-based model, and approximate solutions of the trip-based model at any order using Taylor series. More-over a very flexible event-based simulation framework is implemented to solve the latter model, making it a promising tool to account for heterogeneity among travel distances. Thanks to these resolution schemes our comparisons highlight the inaccuracy of the accumulation-based approach in transient phase when the demand varies rapidly.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-04928
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Mariotte, GuilhemLeclercq, LudovicLaval, Jorge APagination: 21p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Subject Areas: Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-04928
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:53AM
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