Qualitative behaviour and numerical approximation of solutions to conservation laws with non-local point constraints on the flux and modeling of crowd dynamics at the bottlenecks (Q2830698)

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scientific article; zbMATH DE number 6645492
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Qualitative behaviour and numerical approximation of solutions to conservation laws with non-local point constraints on the flux and modeling of crowd dynamics at the bottlenecks
scientific article; zbMATH DE number 6645492

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    Qualitative behaviour and numerical approximation of solutions to conservation laws with non-local point constraints on the flux and modeling of crowd dynamics at the bottlenecks (English)
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    28 October 2016
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    finite volume scheme
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    scalar conservation law
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    non-local point constraint
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    crowd dynamics
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    capacity drop
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    Braess' paradox
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    faster is slower
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    A numerical model for pedestrian traffic, originally presented in [\textit{B. Andreianov} et al., Math. Models Methods Appl. Sci. 24, No. 13, 2685--2722 (2014; Zbl 1307.35166)], is here evaluated and validated. The non-local constrained finite volume method is described and its convergence is shown and validated with an explicit solution obtained. Two characteristic simulation problems with collective effects in crowd dynamics: Faster is slower and the Braess' paradox are used and qualitative highlight the bottleneck behavior numerical reproduction.
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