Revista UIS Ingenierías

Vol. 21 No. 1 (2022): Revista UIS Ingenierías
Articles

Analysis of high vehicular flow for an access road to Medellín using agent-based simulation

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  • Johana Orozco-Rivera ,
  • Yony Ceballos ,
  • Julian Andrés Castillo-Grisales
Johana Orozco-Rivera
Instituto Tecnológico Metropolitano
Yony Ceballos
Universidad de Antioquia
Julian Andrés Castillo-Grisales
Institución Universitaria Digital de Antioquia
DOI: https://doi.org/10.18273/revuin.v21n1-2022006

Published 2021-11-22

Keywords

  • traffic flow ,
  • urban congestion,
  • agent-based simulation,
  • vehicle dynamics

How to Cite

Orozco-Rivera , J. ., Ceballos , Y. ., & Castillo-Grisales , J. A. (2021). Analysis of high vehicular flow for an access road to Medellín using agent-based simulation. Revista UIS Ingenierías, 21(1), 73–82. https://doi.org/10.18273/revuin.v21n1-2022006

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Abstract

In the municipality of Medellín, the road that crosses Robledo Park has played an important role as an access route to different neighborhoods in the west, and the Antioquia western subregions. Every day, hundreds of vehicles pass through, identifying it as the only access road; a situation that at certain times of the day becomes slow. Although alternative routes are sought, satisfactory results have not been found since the only possibility is equal or more congested than the first. In this document, the proposal was to carry out an analysis of the problem of road congestion presented on the road in the east-west direction, through agent-based simulation. For the simulation model, the individuals were characterized by relevant traits, and, in turn, an evaluation of the behavior was developed for the improvement in road capacity by enlargement, and the respective validation of the results obtained through this alternative. As a result, it was observed that the adaptation of the road through its extension facilitates and improves the mobility conditions, increasing its travel speed by up to 20% and optimizing the vehicular capacity of the route to double at peak times.

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