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    Based on Hidden Markov Model to Identify the Driver Lane-Changing Behavior of Automobile OBD Internet of Vehicles Research and Design

    Based on Hidden Markov Model to Identify the Driver Lane-Changing Behavior of Automobile OBD Internet of Vehicles Research and Design


    Abstract In this paper, we mainly study and design a kind of OBD vehicle network which can help the driver to change the behavior of the driver, so as to reduce the traffic accident caused by incorrect operation of the driver’s lane-changing behavior. First, get the hidden Markov model to identify driver’s lane-changing behavior was studied by MATLAB simulation. Second, the model is applied to the software and hardware design of OBD vehicle networking. Finally through the use of the OBD port will be from the CAN bus acquisition to the driver lane-changing behavior data and transfer to the Hidden Markov Model to deal with and determine the driver lane-changing the threshold of steering wheel angular velocity and steering wheel steering angle.

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    Titel :

    Based on Hidden Markov Model to Identify the Driver Lane-Changing Behavior of Automobile OBD Internet of Vehicles Research and Design

    Beteiligte:
    Tu, Yu (Autor:in) / Zhang, Fengdeng (Autor:in) / Wang, Zhijian (Autor:in)
    Erschienen in:

    Advances in Computer and Computational Sciences ; 2 ; 257-263

    Advances in Intelligent Systems and Computing ; 554 , 2

    Erscheinungsdatum :

    2017-09-29

    Format / Umfang :

    7 pages

    ISBN :

    978-981-10-3772-6 , 978-981-10-3773-3

    ISSN :

    2194-5357 , 2194-5365

    DOI :

    https://doi.org/10.1007/978-981-10-3773-3_25

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    OBD , Hidden markov model (HMM) , Lane-changing behavior , Vehicle networking Engineering , Computational Intelligence , Communications Engineering, Networks , Artificial Intelligence (incl. Robotics)

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