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
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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

OpenCitations Citation Count
74
Source
Entropy
Volume
20
Issue
4
Start Page
259
End Page
PlumX Metrics
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
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