The complexity of the car-following dynamic traffic means the driver’s workload brought by the main driving task during the car-following process. The status information between the preceding and following vehicles on the Internet of Vehicles environment provides real-time quantification of the complex dynamic traffic environment. In order to quantify the complexity of the traffic environment in real time, three dynamic traffic environment complexity metrics based on the car-following behavior spectrum are used, which are Inversed Modified Margin to Collision, Transverse Oscillation Coefficient and Velocity Instability Coefficient. And we use the driving simulator to collect driver’s behavior data under different driving tasks during car-following, calculate the specific values of the three metrics, and use the entropy method to take a weighted sum of the three metrics. At last, we also use NASA-TLS subjective load scale to obtain the driver’s subject load, and this can verify the quantification model of the car-following dynamic traffic environment. The results show that the complexity quantification model of the car-following traffic environment can accurately quantify the driver’s workload brought by the main driving task to the driver during the car-following process. The study will provide a scientific basis for the control switching of vehicles between driver and machine and supply a more efficient driving behavior.


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    Titel :

    Complexity Quantification of Car-Following Dynamic Traffic in the Internet of Vehicles Environment


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Bie, Yiming (Herausgeber:in) / Qu, Bob X. (Herausgeber:in) / Howlett, Robert J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Zhang, Yaoyin (Autor:in) / Wang, Linhong (Autor:in) / Wang, Ce (Autor:in)

    Kongress:

    Proceedings of KES-STS International Symposium ; 2022 ; Rhodes, Greece June 20, 2022 - June 22, 2022



    Erscheinungsdatum :

    2022-05-15


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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