Vehicle dangerous behaviour warning plays an important role to improve road traffic safety and efficiency, so a safety assessment method of vehicle behaviour based on the improved Dempster–Shafer (D–S) evidence theory is proposed. Firstly, through analysis of vehicle collision accident mechanism, some factors closely related to vehicle safety are extracted. Also, multiple sensors are synthetically utilised to collect information, which realises the awareness of vehicle state, road attribute, driving environment etc. Then vehicle behaviour identification is accomplished according to the parameter information of the vehicle‐mounted sensors, as well as the related data of adjacent vehicles in vehicular ad hoc networks (VANET). Finally, a sequential type of weighted correction method based on evidence variance is used to integrate different levels of multi‐source heterogeneous information and to achieve safety assessment of vehicle behaviour. The experimental results show that the improved D–S evidence theory reduces the evidence conflict, increasing the accuracy and reliability of vehicle behaviour safety assessment. The study solves the fundamental core problem of active safety warning in VANET and provides a new means of traffic accident warning for the road traffic management department.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Safety assessment of vehicle behaviour based on the improved D–S evidence theory


    Beteiligte:
    Xin Cheng (Autor:in) / Jingmei Zhou (Autor:in) / Xiangmo Zhao (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Safety assessment of vehicle behaviour based on the improved D–S evidence theory

    Cheng, Xin / Zhou, Jingmei / Zhao, Xiangmo | Wiley | 2020

    Freier Zugriff

    Safety assessment of vehicle behaviour based on the improved D–S evidence theory

    Cheng, Xin / Zhou, Jingmei / Zhao, Xiangmo | IET | 2020

    Freier Zugriff


    Analysis of in-vehicle driver behaviour data for improved safety

    Jensen,M. / Wagner,J. / Alexander,K. et al. | Kraftfahrwesen | 2011


    Analysis of in-vehicle driver behaviour data for improved safety

    Jensen, M. / Wagner, J. / Alexander, K. | Tema Archiv | 2011