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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Hybrid Model-Based Traffic Network Control Using Population Games

by
Sindy Paola Amaya
1,*,
Pablo Andrés Ñañez
2,
David Alejandro Martínez Vásquez
1,3,*,
Juan Manuel Calderón Chávez
1,4 and
Armando Mateus Rojas
1
1
Electronic Engineering Faculty, Universidad Santo Tomás, Bogotá 110231, Colombia
2
Lockheed Martin, RMS (Rotary and Mission Systems), Moorestown, NJ 08057, USA
3
Department of Technology, Universidad Pedagógica Nacional, Bogotá 110221, Colombia
4
Department of Computer Science & Engineering, Bethune-Cookman University, Daytona Beach, FL 32114, USA
*
Authors to whom correspondence should be addressed.
Appl. Syst. Innov. 2025, 8(4), 102; https://doi.org/10.3390/asi8040102
Submission received: 20 June 2025 / Revised: 17 July 2025 / Accepted: 23 July 2025 / Published: 25 July 2025
Review Reports Versions Notes

Abstract

Modern traffic management requires sophisticated approaches to address the complexities of urban road networks, which continue to grow in complexity due to increasing urbanization and vehicle usage. Traditional methods often fall short in mitigating congestion and optimizing traffic flow, inducing the exploration of innovative traffic control strategies based on advanced theoretical frameworks. In this sense, we explore different game theory-based control strategies in an eight-intersection traffic network modeled by means of hybrid systems and graph theory, using a software simulator that combines the multi-modal traffic simulation software VISSIM and MATLAB to integrate traffic network parameters and population game criteria. Across five distinct network scenarios with varying saturation conditions, we explore a fixed-time scheme of signaling by means of fictitious play dynamics and adaptive schemes, using dynamics such as Smith, replicator, Logit and Brown–Von Neumann–Nash (BNN). Results show better performance for Smith and replicator dynamics in terms of traffic parameters both for fixed and variable signaling times, with an interesting outcome of fictitious play over BNN and Logit.
Keywords: population dynamics; hybrid system; traffic network; game theory; graph theory population dynamics; hybrid system; traffic network; game theory; graph theory

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MDPI and ACS Style

Amaya, S.P.; Ñañez, P.A.; Martínez Vásquez, D.A.; Calderón Chávez, J.M.; Mateus Rojas, A. Hybrid Model-Based Traffic Network Control Using Population Games. Appl. Syst. Innov. 2025, 8, 102. https://doi.org/10.3390/asi8040102

AMA Style

Amaya SP, Ñañez PA, Martínez Vásquez DA, Calderón Chávez JM, Mateus Rojas A. Hybrid Model-Based Traffic Network Control Using Population Games. Applied System Innovation. 2025; 8(4):102. https://doi.org/10.3390/asi8040102

Chicago/Turabian Style

Amaya, Sindy Paola, Pablo Andrés Ñañez, David Alejandro Martínez Vásquez, Juan Manuel Calderón Chávez, and Armando Mateus Rojas. 2025. "Hybrid Model-Based Traffic Network Control Using Population Games" Applied System Innovation 8, no. 4: 102. https://doi.org/10.3390/asi8040102

APA Style

Amaya, S. P., Ñañez, P. A., Martínez Vásquez, D. A., Calderón Chávez, J. M., & Mateus Rojas, A. (2025). Hybrid Model-Based Traffic Network Control Using Population Games. Applied System Innovation, 8(4), 102. https://doi.org/10.3390/asi8040102

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