The Smart City as a concept of future cities anticipates the smart and efficient traffic management. Current situation of traffic management did not offer a sufficient solution and it is not wise to use the current technology to improve the traffic situation on the city roads. This paper deals with advanced methods for optimization, the genetic algorithms, for using in urban traffic management. Implementation of genetic algorithm and also implementation of classical static solution were provided. We try to prove the advantages of modern optimization methods, which could bring more fluent traffic to the cities and solve the current challenges as i.e. high emissions, big delay, higher probability of accidents. The paper provides comparison measurements of static and dynamic solution in discrete time, discussion of the possible implementation in praxis and evaluation of the advantages and disadvantages for both methods.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Advanced optimization method for improving the urban traffic management


    Beteiligte:
    Radek Fujdiak (Autor:in) / Pavel Masek (Autor:in) / Petr Mlynek (Autor:in) / Jiri Misurec (Autor:in) / Ammar Muthanna (Autor:in)


    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Urban traffic management

    Kassabian, Naomi | TIBKAT | 1986



    Urban traffic optimization method and system

    HE SHAOJIANG | Europäisches Patentamt | 2021

    Freier Zugriff

    Urban Traffic Management

    G. S. Rutherford / C. A. Wellander / D. K. Boyle et al. | NTIS | 1986


    Urban expressway traffic management method

    SONG ZHIHONG / CHEN JIAXU / LYU TING et al. | Europäisches Patentamt | 2023

    Freier Zugriff