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An Efficient Computational Technique for Fractal Vehicular Traffic Flow

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Date

2018

Journal Title

Journal ISSN

Volume Title

Publisher

Mdpi

Open Access Color

GOLD

Green Open Access

Yes

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Publicly Funded

No
Impulse
Top 1%
Influence
Top 10%
Popularity
Top 1%

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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.

WoS Q

Q2

Scopus Q

Q2
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OpenCitations Citation Count
74

Source

Entropy

Volume

20

Issue

4

Start Page

259

End Page

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Citations

CrossRef : 76

Scopus : 80

PubMed : 3

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Mendeley Readers : 10

SCOPUS™ Citations

80

checked on Feb 25, 2026

Web of Science™ Citations

71

checked on Feb 25, 2026

Page Views

2

checked on Feb 25, 2026

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6.5802

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