TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Traffic flow optimization in smart cities using queueing theory and dynamical system analysis

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pp. 1313–1322Vol. 46Issue 4-BMay 2025DOI: 10.47974/JIOS-1992XML
Received:
08 Oct 2024
Published Online:
31 May 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1992
Pages:
1313–1322

Abstract

Controlling urban traffic flow is very essential in smart city design; so, advanced analytical tools are needed to lower congestion and increase mobility. This work explores the use of dynamical system analysis along with queuing theory to maximize traffic flow in smart cities. We expand a mathematical version combining dynamical system analysis to assess the responsiveness and stability of traffic systems beneath distinctive conditions with queuing concept to control the stochastic nature of site visitors glide. Several simulations illustrate how nicely our approach predicts visitor’s patterns and optimize signal timings, therefore lowering wait times and raising universal visitors’ throughput. The method is tested the usage of real-global visitors statistics, consequently proving its possibility for large city implementation. Our findings show the requirement of an incorporated analytical framework that handles the difficulties of urban site visitors control through combining the blessings of each dynamical systems and queuing theory, finally generating smarter, extra responsive cities of the future. 

Keywords

Subject Classifications

65Y04

References

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