Abstract An approach based on the artificial intelligence is proposed for the management of road traffic. By a fuzzy system, we are looking for purely numerical parametric characteristics and those that influence its structure. In fact, we use input and output data from a portion of the road traffic to identify a fuzzy model which makes possible the evaluation of the results of the estimated parameters obtained. This has been achievable through the combination of parametric and structural adjustment algorithms with the backpropagation algorithm. Consequently, the obtained results show that adaptive models are successfully used in the analysis and the management of road traffic through the efficiency of this combination.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic




    Erscheinungsdatum :

    2019-07-18


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Artificial Intelligence Approach for Optimizing Traffic Signal Timings on Urban Road Network

    Nakatsuji, T. / Seki, S. / Shibuya, S. et al. | British Library Conference Proceedings | 1994


    Artificial Intelligence Approach for Optimizing Traffic Signal Timing on an Urban Road Network

    Nakatsuji, T. / Seki, S. / Shibuya, S. et al. | British Library Online Contents | 1994


    Traffic road monitoring device based on artificial intelligence

    CAI QITIAN / XUE BINGKUN / HAN SONGSHAN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Road traffic monitoring system based on artificial intelligence

    LI ENHONG | Europäisches Patentamt | 2024

    Freier Zugriff