Traffic congestion is a significant problem in many cities, leading to delays, increased fuel consumption, and environmental pollution. In recent years, optimization algorithms have been used to improve traffic control systems and reduce congestion. This paper proposes an optimization algorithm based on genetic algorithms to optimize traffic signal controllers in Cádiz, Spain, using the Simulation of Urban MObility (SUMO) traffic simulator. The proposed optimization algorithm is a promising solution for the optimization of traffic control systems, which can lead to more efficient traffic flow, reduced congestion, and improved environmental conditions.


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    Titel :

    Optimization of Traffic Light Controllers Using Genetic Algorithms: A Case Study in the City of Cádiz


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Novais, Paulo (Herausgeber:in) / Julián Inglada, Vicente (Herausgeber:in) / Hornos, Miguel J. (Herausgeber:in) / Satoh, Ichiro (Herausgeber:in) / Carneiro, Davide (Herausgeber:in) / Carneiro, João (Herausgeber:in) / Alonso, Ricardo S. (Herausgeber:in) / Balderas-Díaz, Sara (Autor:in) / Muñoz, Andrés (Autor:in) / Guerrero-Contreras, Gabriel (Autor:in)

    Kongress:

    International Symposium on Ambient Intelligence ; 2023 ; Guimaraes, Portugal July 12, 2023 - July 14, 2023



    Erscheinungsdatum :

    2023-09-26


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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