Traffic congestion has become a serious concern in both developed and developing countries. Increasing demand for urban transport has led to plenty of issues including longer travel times, higher fuel consumption and greater vehicular crash rates and therefore to a deterioration in the quality of life. On grounds of the wide range of problems that traffic congestion can cause, the study of traffic congestion measures and their implementation is a crucial step that should be considered in analyzing traffic. However, these measures might vary per country. They are context-sensitive. Therefore, the purpose of this study is to develop a recommendation system able to generate the congestion measures in accordance with the context under study. The goal of this research is to assist researchers and traffic operators to choose the most suitable congestion measures to the studied area.


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    Titel :

    Rule-based Recommendation System for Traffic Congestion Measures


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Bie, Yiming (Herausgeber:in) / Gao, Kun (Herausgeber:in) / Howlett, Robert J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Amor, Yasmine (Autor:in) / Rejeb, Lilia (Autor:in) / Sahli, Nabil (Autor:in) / Trojet, Wassim (Autor:in) / Hoblos, Ghaleb (Autor:in) / Ben Said, Lamjed (Autor:in)

    Kongress:

    Proceedings of KES-STS International Symposium ; 2023 ; Rome, Italy June 14, 2023 - June 16, 2023



    Erscheinungsdatum :

    2023-06-15


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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