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• W4313260283 abstract "We extend our analysis on the Lie symmetries in fluid dynamics to the case of macroscopic traffic estimation models. In particular we study the Aw–Rascle–Zhang model for traffic estimation, which consists of two hyperbolic first-order partial differential equations. The Lie symmetries, the one-dimensional optimal system and the corresponding Lie invariants are determined. Specifically, we find that the admitted Lie symmetries form the four-dimensional Lie algebra A4,12. The resulting one-dimensional optimal system is consisted by seven one-dimensional Lie algebras. Finally, we apply the Lie symmetries in order to define similarity transformations and derive new analytic solutions for the traffic model. The qualitative behaviour of the solutions is discussed." @default.
• W4313260283 created "2023-01-06" @default.
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• W4313260283 date "2022-12-25" @default.
• W4313260283 modified "2023-10-02" @default.
• W4313260283 title "Lie Symmetry Analysis of the Aw–Rascle–Zhang Model for Traffic State Estimation" @default.
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• W4313260283 doi "https://doi.org/10.3390/math11010081" @default.
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