Ant Colony Algorithm for the Optimization of Semaphorization in One of the Most Congested Intersections in the Bogota City

  • Andres CardenasEmail author
  • Diana ToquicaEmail author
  • Yesid Díaz-GutierrezEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 742)


One of the main problems in the big cities is traffic, both vehicles and motorcycles. Currently Bogotá D.C. (Capital of Colombia), has more than 8 million inhabitants, of whom the majority travels in private and public vehicles. In the interior of the city, it has been possible to identify sectors in which mobility generates a frequent chaos, given the number of vehicles that have to move there, including light vehicles and also cargo vehicles. The application of the Ant Colony algorithm is proposed to simulate the traffic at a specific time in an intersection in order to determine if it is possible to increase the flow of vehicles that circulate through said intersection, decreasing the time of exit of the vehicles. At the end of the article we present the results of the simulation which allow us to take a stand against the research and to confirm that the research process and, above all, the simulation process, allow us to make a decision about the way in which the times have been adjusted Of traffic lights at most of the intersections of the city of Bogotá.


Ant colony algorithm Traffic study Semaphorization Simulation models Information flows 


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    Dorigo, M., Stutzle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Corporacion Unificada Nacional de Educacion Superior CUNBogotáColombia

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