Mathematical Modelling of Traffic Flow Dynamics Around Roundabouts Using Navier–Stokes and Advection–Diffusion Equations

Abstract: Traffic congestion is a persistent challenge in urban transport systems, particularly around roundabouts where nonlinear merging and circulating flows create instability and delays. Traditional microscopic, mesoscopic, and macroscopic models often neglect explicit treatment of priority rules, capacity drops, and queue spillback, limiting their ability to predict roundabout-induced congestion. To address this gap, this study develops a coupled Navier–Stokes–advection–diffusion framework for simulating traffic dynamics at roundabouts. The governing equations are discretized using the finite volume method with a QUICK scheme for spatial accuracy and advanced in time with a Crank–Nicolson integration for stability. Non-dimensionalization ensures general applicability across different traffic environments. Simulation results reproduce fundamental traffic relations, identify optimal densities for maximum throughput, and reveal oscillatory stop-and-go waves consistent with empirical observations. Scenario analysis shows that increased diffusion enhances stability but reduces flow capacity, capturing real-world trade-offs between efficiency and control. The study concludes that embedding yield laws and circulating feedback into continuum equations provides a rigorous foundation for analyzing roundabout performance. Policy recommendations include adopting geometry- and flow-calibrated entry controls, while future research should incorporate stochastic demand and adaptive control strategies to refine predictive accuracy. This contribution provides both theoretical innovation and practical insights for sustainable traffic management. Keywords: Advection–diffusion modelling; Congestion management; Navier–Stokes equations; PDE-based simulation; Roundabout performance; Traffic flow dynamics. Title: Mathematical Modelling of Traffic Flow Dynamics Around Roundabouts Using Navier–Stokes and Advection–Diffusion Equations Author: Momanyi Mogire Krifix, Shichikha Maremwa, Kandie Joseph, Lucy Jerop Ngetich International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) ISSN 2350-1049 Vol. 12, Issue 3, July 2025 - September 2025 Page No: 18-27 Paper Publications Website: www.paperpublications.org Published Date: 29-September-2025 DOI: https://doi.org/10.5281/zenodo.17225467 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Mathematical%20Modelling%20of%20Traffic%20Flow-29092025-6.pdf

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-29
DOI
https://doi.org/10.5281/zenodo.17225466
Primary Topic
Plant Pathogens and Fungal Diseases
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article
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article

Mathematical Modelling of Traffic Flow Dynamics Around Roundabouts Using Navier–Stokes and Advection–Diffusion Equations

Zenodo (CERN European Organization for Nuclear Research)
Plant Pathogens and Fungal Diseases
article

Mathematical Modelling of Traffic Flow Dynamics Around Roundabouts Using Navier–Stokes and Advection–Diffusion Equations

article en

Abstract

Abstract: Traffic congestion is a persistent challenge in urban transport systems, particularly around roundabouts where nonlinear merging and circulating flows create instability and delays. Traditional microscopic, mesoscopic, and macroscopic models often neglect explicit treatment of priority rules, capacity drops, and queue spillback, limiting their ability to predict roundabout-induced congestion. To address this gap, this study develops a coupled Navier–Stokes–advection–diffusion framework for simulating traffic dynamics at roundabouts. The governing equations are discretized using the finite volume method with a QUICK scheme for spatial accuracy and advanced in time with a Crank–Nicolson integration for stability. Non-dimensionalization ensures general applicability across different traffic environments. Simulation results reproduce fundamental traffic relations, identify optimal densities for maximum throughput, and reveal oscillatory stop-and-go waves consistent with empirical observations. Scenario analysis shows that increased diffusion enhances stability but reduces flow capacity, capturing real-world trade-offs between efficiency and control. The study concludes that embedding yield laws and circulating feedback into continuum equations provides a rigorous foundation for analyzing roundabout performance. Policy recommendations include adopting geometry- and flow-calibrated entry controls, while future research should incorporate stochastic demand and adaptive control strategies to refine predictive accuracy. This contribution provides both theoretical innovation and practical insights for sustainable traffic management. Keywords: Advection–diffusion modelling; Congestion management; Navier–Stokes equations; PDE-based simulation; Roundabout performance; Traffic flow dynamics. Title: Mathematical Modelling of Traffic Flow Dynamics Around Roundabouts Using Navier–Stokes and Advection–Diffusion Equations Author: Momanyi Mogire Krifix, Shichikha Maremwa, Kandie Joseph, Lucy Jerop Ngetich International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS) ISSN 2350-1049 Vol. 12, Issue 3, July 2025 - September 2025 Page No: 18-27 Paper Publications Website: www.paperpublications.org Published Date: 29-September-2025 DOI: https://doi.org/10.5281/zenodo.17225467 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Mathematical%20Modelling%20of%20Traffic%20Flow-29092025-6.pdf

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Plant Pathogens and Fungal Diseases
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