The purpose of this study is to explore the variations in the dynamic performance of trucks with different loads and initial velocities on different slopes. The Trucksim simulation software is used to simulate a three-axle tractor and a two-axle heavy low-bed trailer with a road adhesion coefficient of 0.85, and a large loaded truck climbing dynamics simulation model is constructed. A comparative analysis was conducted on the speed variations of the large loaded truck under different conditions, including a design speed of 120 km/h and longitudinal slope gradients of 4 and 5%, as well as a design speed of 100 km/h and longitudinal slope gradients of 3, 4, and 5%, under empty, half-loaded, and full-load conditions, respectively. The influence of various factors on the steady speed reached by the truck during climbing was studied using the controlled variable method. The results showed that the initial climbing speed, truck load, and slope gradient have a significant impact on the steady speed of the truck after climbing. For mountainous highways with a slope gradient of 3%, there is no need to set climbing lanes. However, when the slope gradient exceeds 3%, the probability of a speed difference of over 20 km/h before and after climbing increases, suggesting the need for climbing lanes to be set.


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    Titel :

    Truck Climbing Dynamics Simulation Based on Trucksim


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Guo, Hongwei (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Shi, Jian (Herausgeber:in) / Sun, Dongxian (Herausgeber:in) / Bian, Wen (Autor:in) / Yang, Jingshuai (Autor:in) / Yang, Chao (Autor:in)

    Kongress:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Erscheinungsdatum :

    29.09.2024


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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