To accurately calculate the capacity of non-motorized vehicles at urban intersections, and determine the service level of non-motorized lanes in mixed traffic environments, this study analyzed the difference in overtaking behavior between electric bicycles and traditional bicycles when passing intersections. It also explored the expansion characteristics of two types of non-motorized vehicles at mixed intersections and analyzed the driving characteristics of non-motorized vehicles arriving at intersections under different scenarios. Additionally, the study proposed a calculation method for the electric bicycle conversion coefficient at intersections. Based on two drone videos at signal intersections in Xi’an, it was found that the conversion coefficient of electric bicycles at the intersection to traditional bicycles is 1.447. The conversion coefficients were verified by Vissim simulation. The relative errors associated with capacity, including linear speed, right turn speed, starting acceleration, and arrival acceleration are all within acceptable ranges and closely align with practical conditions. Therefore, this conversion factor model can provide a theoretical basis for accurately evaluating the mixed state of non-motor vehicles at intersections.


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    Titel :

    Conversion Factors for Electric Bicycles at Intersections Considering Overtaking Expansion Characteristics


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Meng, Lingyun (Herausgeber:in) / Qian, Yongsheng (Herausgeber:in) / Bai, Yun (Herausgeber:in) / Lv, Bin (Herausgeber:in) / Tang, Yuanjie (Herausgeber:in) / Ze-long, Zhang (Autor:in) / Yu-ting, Zhang (Autor:in) / Tian-ci, Zhang (Autor:in) / Shao-xuan, Peng (Autor:in)

    Kongress:

    International Conference on Traffic and Transportation Studies ; 2024 ; Lanzhou, China August 23, 2024 - August 25, 2024



    Erscheinungsdatum :

    14.11.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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