Abstract The existing safe driving model all evaluated the potential dangers in driving based on single-factor analysis results. This study proposed a multifactor driving danger evaluation model including three factors—lane, vehicle distance, and vehicle type. The abstract information of lane, vehicle type, and vehicle distance was first quantified as specific values; then, we conducted crossover analysis on the quantified parameter and established the linear model; finally, through multiple regression, the logical relationships between these three factors and danger coefficient were acquired. Meanwhile, the model parameters were analyzed based on the theory in statistics. Results demonstrate that the proposed danger evaluation model can reasonably describe the effects of these three factors on the safety in driving.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Evaluation Model of Danger Degree in Driving


    Beteiligte:
    Guo, Keyou (Autor:in) / Wang, Yiwei (Autor:in) / Guo, Xiaoli (Autor:in) / Bao, Qichao (Autor:in)


    Erscheinungsdatum :

    16.09.2018


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on Evaluation Model of Danger Degree in Driving

    Guo, Keyou / Wang, Yiwei / Guo, Xiaoli et al. | British Library Conference Proceedings | 2019



    Method for evaluating driving danger degree and safety degree of intelligent traffic vehicle

    QIAO MEI / YAO YAO / GUO YUANJUN et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Evaluation on Roadside Danger Degree and Graded Safety Renovation

    Li, Yang / Ma, Rongguo / Wang, Longfei et al. | ASCE | 2009


    Evaluation on Roadside Danger Degree and Graded Safety Renovation

    Li, Y. / Ma, R. / Wang, L. et al. | British Library Conference Proceedings | 2009