Browsing by Author "Gordillo Sanango, Braulio Enrique"

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    Modelado de tráfico vehicular a partir de datos de velocidad en autopistas en condiciones de tráfico mixto
    (Universidad Cuenca, 2025-09-23) Cárdenas Ávila, Elián José; Gordillo Sanango, Braulio Enrique; Correa Barahona, Diego Estuardo
    Macroscopic analysis of vehicular dynamics on urban highways is based on spatiotemporal studies that help understand traffic behavior according to road characteristics and the measurement systems in place. The main objective of this study was to analyze and determine a macroscopic model to characterize vehicular behavior on the Cuenca–Azogues highway, using datasets obtained from speed radars and advanced analytical techniques. Imputation methods were applied to correct missing data, using Monte Carlo simulation due to its ability to capture traffic variability. In the macroscopic modeling, after analyzing maximum roadway states, the Greenberg model showed the best fit (R² > 0.7). The adjusted Speed Performance Index (VPI) allowed the identification of critical congestion periods, with up to 93.29% of the data showing intense congestion at radars such as Vista Linda. Additionally, distinct patterns were observed between weekdays and weekends, with higher congestion occurring from 07:00 to 08:00 and from 17:00 to 19:00. Finally, Self-Organizing Map (SOM) neural networks were used to classify traffic states, identifying gradual transitions and clusters predominantly associated with medium congestion. The results contribute to a better understanding of the road system in urban corridors and provide solid tools for traffic planning and management in environments with incomplete or hard-to-access records.