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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

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



    Publication date :

    2023-09-26


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Optimizing traffic light controllers by means of evolutionary algorithms

    Taale, H. / Bäck, T. / Preuß, M. et al. | Tema Archive | 1998



    Direct optimization of gain scheduled controllers via genetic algorithms

    Kramer, Stuart C. / Martin, Robert C. | AIAA | 1996


    Designing Fuzzy Net Controllers Using Genetic Algorithms

    Kim, J. / Moon, Y. / Zeigler, B. P. | British Library Online Contents | 1995