Khoshyaran, Megan MLebacque, Jean-PatrickContinuum traffic modeling is designed for very large networks and relies on a double approximation. The network is assumed to be dense and is described as a two-dimensional medium, whereas the traffic in the network is described as a bi-dimensional fluid. Traffic on major arterials is described separately using the GSOM (Generic second order model) approach. The dense network is divided into macro-cells, typically one to 10 km in size. The dynamics of traffic in the two-dimensional medium result from the interplay of supply and demand inside and between macro-cells. The paper addresses important modeling issues such as how to estimate the average densities, how to determine the equilibrium traffic supply and demand functions, and how to evaluate traffic supplies and demands.
Continuum Traffic Flow Modelling: Network Approximation, Flow Approximation
Springer Proceedings Phys.
17.11.2020
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Dynamic assignment , Continuum model , Local traffic supply , Min principle , Gsom model , Homogenization , Bidimensional model , Discretization , Local traffic demand , Anisotropic network , Two-dimensional model Physics and Astronomy , Soft and Granular Matter, Complex Fluids and Microfluidics , Complex Systems , Computer Appl. in Social and Behavioral Sciences , Statistical Physics and Dynamical Systems , Physics , Transportation Technology and Traffic Engineering
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