Modelo origen destino para estimar el flujo de tráfico usando algoritmos genéticos
Abstract
RESUMEN
En este trabajo se ha desarrollado un nuevo método basado en Inteligencia Artificial para resolver un problema del matriz origen-destino (O-D) aplicado al caso de una red de tráfico vehicular en la ciudad de Ambato. El método implementado, basado en algoritmos genéticos (AG), resuelve el problema de minimización asociado al problema de matriz O-D. Para validar la técnica, se ha utilizado una red vial correspondiente a la zona del Mercado Modelo en la ciudad de Ambato, que es una zona de alta congestión vehicular.
Palabras clave: Redes de tráfico, algoritmos genéticos, optimización.
ABSTRACT
A new method, based on Artificial Intelligence for solving the Origin-Destination problem (O-D), was developed and applied to the vehicular traffic network of the city of Ambato. The method, based on genetic algorithms (GA), solves the minimization problem associated with the O-D problem. To validate the technique, it has been used the Mercado Modelo network from the Ambato city, which is an area of high vehicular traffic congestion.
Keywords: Traffic networks, genetic algorithms, optimization.
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