The paper gives an overview of the specific features of anthropometric characteristics of humans – pedestrians in case of car accidents involving pedestrians and cars. Here, special attention has been paid to the configuration of the human body while moving, which is in turn related to the initial conditions of a collision. Special part of biomechanics in humans refers to their moving, where human’s walk has a specific posture as a mechanical phenomenon. Based on the carried out analysis the need has been observed for a classification of anthropologic variables by means of which the dynamic inertia moments of a walking human can be calculated, as well as the human, who hit by a car in a traffic accident flies along a production curvilinear path. With the development of ergonomics, and the accompanying increased application of anthropometry, the static anthropometry was abandoned, since the humans are considered highly variable in their dimensions, which is extremely important for the dynamic analysis of the human body posture in the collision process.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Dynamic Anthropometric Characteristics of Pedestrians in Case of Car Collision


    Beteiligte:
    Jasna Golubić (Autor:in) / Zoran Vogrin (Autor:in) / Eduard Missoni (Autor:in)


    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Corresponding Characteristics and Circumstances of Collision-Involved Pedestrians in Hawaii

    Kim, Karl / Yamashita, Eric | Transportation Research Record | 2008



    Collision Avoidance of Low Speed Autonomous Shuttles with Pedestrians

    Gelbal, Sukru Yaren / Aksun-Guvenc, Bilin / Guvenc, Levent | Springer Verlag | 2020


    Surveillance-based Collision-time Analysis of Road-crossing Pedestrians

    Moayed, Zahra / Chien, Hsiang-Jen / Zhang, Derek et al. | IEEE | 2019


    pSafety: A Collision Prevention System for Pedestrians Using Smartphone

    Lin, Chi-Han / Chen, Yi-Ting / Chen, Jyun-Jie et al. | IEEE | 2016