Road traffic management has been a serious concern in the transportation sector for many years now. The explosion of the number of cars along with the inability of creating new high-capacity road infrastructures in big cities makes mitigating this danger a problem for the scientific research community. Traffic congestion contributes to increased pollution, economic loss, and a general deterioration in the quality of life. As a result, researchers are being asked to cope with the complexity of establishing effective and smooth traffic flow. The aim of the investigation is to summarize the available neutrosophic traffic flow problems and their progress to enable future researchers to differentiate the major problems to be manipulated and identify conditions to be optimized.


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    Titel :

    Towards Intelligent Road Traffic Management Based on Neutrosophic Logic: A Brief Review


    Beteiligte:
    Asma Ait Ouallane (Autor:in) / Said Broumi (Autor:in) / Endalkachew Teshome Ayele (Autor:in) / Assia Bakali (Autor:in) / Ayoub Bahnasse (Autor:in) / Mohamed Talea (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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