The study created a method for evaluating urban traffic flow sustainability, considering variations in traffic density and vehicle speed during “rush hours.” This new approach complements existing performance criteria and improves the accuracy of predicting traffic jams. The proposed changes in traffic flow density and vehicles’ speed within the flow vary over time. In addition to the current time, the functions contain variable characteristics in the form of vibration amplitude and vibration period. This allows for adapting the forecasting model to the real road network, considering the network jams period and road infrastructure. The idea involves modeling and predicting urban traffic flow sustainability to anticipate traffic congestion. The key components of the concept are justified, outlining the stages at which this assessment is conducted while considering the dynamic changes in influential factors. The proposed concept differs from existing ones in that it considers variations in traffic flow parameters, such as density and vehicle speed over time. These changes are typical in urban road networks during peak hours.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Urban Traffic Flow Sustainability Assessment Due to Dynamic Changes in Influential Factors


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    International Scientific Conference Intelligent Transport Systems: Ecology, Safety, Quality, Comfort ; 2024 ; Kyiv, Ukraine November 26, 2024 - November 27, 2024



    Publication date :

    2025-03-30


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    DETECTING INFLUENTIAL FACTORS FOR TRAFFIC CONGESTION

    XU JING JAMES / XU JING / WANG JUN et al. | European Patent Office | 2020

    Free access

    Detecting influential factors for traffic congestion

    XU JING JAMES / XU JING / WANG JUN et al. | European Patent Office | 2021

    Free access

    Influential factors for severe traffic crashes

    Huanmei Wu, / Malipeddi, S. | IEEE | 2011


    SUSTAINABILITY ASSESSMENT OF SPEED REGULATION OF URBAN TRAFFIC

    Baohua MAO, Ph.D. | DOAJ | 2002

    Free access

    Quantifying incident impacts and identifying influential features in urban traffic networks

    Lee, JuYeong / Kwak, JiIn / Oh, YongKyung et al. | Taylor & Francis Verlag | 2023