An Efficient Computational Technique for Fractal Vehicular Traffic Flow

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Abstract

In this work, we examine a fractal vehicular traffic flow problem. The partial differential equations describing a fractal vehicular traffic flow are solved with the aid of the local fractional homotopy perturbation Sumudu transform scheme and the local fractional reduced differential transform method. Some illustrative examples are taken to describe the success of the suggested techniques. The results derived with the aid of the suggested schemes reveal that the present schemes are very efficient for obtaining the non-differentiable solution to fractal vehicular traffic flow problem.

Description

Tchier, Fairouz/0000-0001-7855-508X; Tomar, Dr. Rukam Singh/0000-0001-9156-5311; Kumar, Devendra/0000-0003-4249-6326

Keywords

Fractal Vehicular Traffic Flow, Local Fractional Sumudu Transform, Homotopy Perturbation Technique, Reduced Differential Transform Method, Local Fractional Derivative, local fractional Sumudu transform, fractal vehicular traffic flow; local fractional Sumudu transform; homotopy perturbation technique; reduced differential transform method; local fractional derivative, Science, Physics, QC1-999, Q, fractal vehicular traffic flow, homotopy perturbation technique, reduced differential transform method, Astrophysics, Article, QB460-466, local fractional derivative

Fields of Science

01 natural sciences, 0103 physical sciences, 0101 mathematics

Citation

Kumar, Devendra...et al. (2018). "An Efficient Computational Technique for Fractal Vehicular Traffic Flow", Entropy, Vol. 20, No.4.

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74

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20

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4

Start Page

259

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CrossRef : 76

Scopus : 80

PubMed : 3

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Mendeley Readers : 10

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