Real-time identification of the driver's driving tendency is the key theory to achieve auxiliary auto driving, especially the active safety warning system, which adapts to the driver's individual characteristics. The paper constructs a model based on the driving behavior to identify the driving tendency. First, it analyzes the relationship between driving tendency and driving behavior, using non-linear characteristics of BP neural network to recognize the driving behavior. Second, it uses multi-level fuzzy evaluation method to build driving tendency judgment model. Finally, it verifies the model is feasible by driving simulation experiment.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Judgment Model of Driving Tendency Based on Driving Behavior


    Contributors:
    Tan, Derong (author) / Shang, Qiang (author) / Gao, Song (author) / Zhang, Xiaolin (author)

    Conference:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Published in:

    ICTE 2013 ; 1976-1981


    Publication date :

    2013-10-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    DRIVING TENDENCY DETERMINATION APPARATUS AND DRIVING TENDENCY DETERMINATION SYSTEM

    ITAHARA HIROSHI | European Patent Office | 2018

    Free access

    Driving tendency judgment method and device, electronic equipment and storage medium

    XU LIANGJIE / MU YUCHEN / HAN HAN et al. | European Patent Office | 2024

    Free access

    DRIVING TENDENCY DETERMINATION APPARATUS AND DRIVING TENDENCY DETERMINATION SYSTEM

    ITAHARA HIROSHI | European Patent Office | 2018

    Free access