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ISSN Number:
2582-8568


Journal DOI No:
03.2021-11278686

Title:
Mathematical Modeling of Traffic Flow Dynamics in Indian Urban Areas: Analyzing Congestion Patterns and Optimization Strategies

Authors:
Tejas Anandrao Barhate

Cite this Article:
Tejas Anandrao Barhate ,
Mathematical Modeling of Traffic Flow Dynamics in Indian Urban Areas: Analyzing Congestion Patterns and Optimization Strategies,
International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Volume: 6, Issue: 2, Year: February 2025, Page No : 92-100,
Available at : http://irjhis.com/paper/IRJHIS2502009.pdf

Abstract:

In India, urban traffic congestion is a recurring problem that is typified by a high vehicle density, varied traffic patterns, and insufficient infrastructure. With an emphasis on congestion patterns and optimization techniques, this work offers a mathematical modeling approach to examine traffic flow dynamics in Indian cities. Both macroscopic and microscopic traffic flow models are used in the study, taking into account variables including vehicle interactions, signalized junctions, and random fluctuations in driver behavior. In order to evaluate the degree of congestion and forecast traffic bottlenecks, the model is verified using actual traffic data from key Indian cities. Examining the NE Transform's complexities reveals how it has influenced mathematical methods. Researchers, mathematicians, and practitioners will find this book to be a very useful resource for understanding and utilizing the NE Transform's power for a variety of mathematical



Keywords:

Traffic flow dynamics, mathematical modeling, congestion patterns, Indian urban areas, optimization strategies, signal timing, queuing theory, transportation policies.



Publication Details:
Published Paper ID: IRJHIS2502009
Registration ID: 21746
Published In: Volume: 6, Issue: 2, Year: February 2025
Page No: 92-100
ISSN Number: 2582-8568

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ISSN Number

ISSN 2582-8568

Impact Factor

5.71 (2021)

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03.2021-11278686