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Ruteo dinámico eficiente y consciente de desvíos basado en la carga de tráfico local en redes de carreteras urbanas
Jie Chen1, Yantao Zhang2, Xin Hong1
1Anhui Normal University, School of Computer and Information, Wuhu 241003, People's Republic of China.
Physical review. E
|December 23, 2025
Resumen
Una nueva estrategia descentralizada de enrutamiento de tráfico que utiliza información de carga de tráfico local (LTL) mejora significativamente la eficiencia del transporte urbano. Este enfoque equilibra la distancia con la congestión en tiempo real, mejorando el rendimiento y la estabilidad para una gestión del tráfico más inteligente.
Área de la Ciencia:
- Ingeniería de Transporte
- Ciencia de Sistemas Complejos
- Planificación Urbana
Sus antecedentes:
- El enrutamiento de tráfico convencional se basa en rutas estáticas u optimización global, que a menudo no se adaptan a la congestión urbana en tiempo real.
- La gestión dinámica del tráfico es crucial para mejorar la movilidad urbana y reducir los tiempos de viaje.
Objetivo del estudio:
- Introducir y evaluar una estrategia descentralizada de enrutamiento de tráfico basada en información de carga de tráfico local (LTL).
- Evaluar la efectividad de la estrategia para mejorar el rendimiento de la red de transporte urbano.
Principales métodos:
- Simulación de la dinámica del tráfico utilizando un modelo de autómata celular bidimensional.
- Evaluación de indicadores clave de rendimiento: velocidad media, flujo y tasa de llegada.
- Prueba de la robustez de la estrategia en topologías de redes urbanas del mundo real.
Principales resultados:
- La estrategia basada en LTL mejora significativamente el rendimiento y la estabilidad del sistema en diversas densidades de tráfico.
- La estrategia suprime eficazmente la acumulación de congestión y la heterogeneidad espacial a través de desvíos informados localmente.
- Se validó la mejora del rendimiento en estructuras de redes urbanas realistas.
Conclusiones:
- Las estrategias de enrutamiento descentralizadas que aprovechan la retroalimentación localizada ofrecen soluciones escalables y adaptables para la congestión urbana.
- El enfoque LTL proporciona un método computacionalmente eficiente para las decisiones de desvío dinámico.
- Esta estrategia representa un avance prometedor para los sistemas de transporte inteligentes.
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