Driver modeling is important for both automobile industry and intelligent transportation. One of its key topics has been studied in this paper, i.e., the style-oriented driver modeling for speed control, and a modeling scheme based on distal learning control and real-world vehicle test data (VTD) is proposed to make this possible. The driver model adapts to be an inverse model of the vehicle at run, which is accomplished under the distal guidance of the discrepancy between the actual and the desired vehicle speed. To tackle the divergence and local mutability of real-world vehicle data, the partly connected multilayered perceptron (PCMLP), which is a locally designed neural network, is utilized to fulfill the imitating of human operations on gas or brake pedals during real-world driving. The FTP-75 driving cycles are borrowed to test the established driver models, and driving styles of the original human drivers are retained and reproduced while accomplishing the speed following task. Simulations are conducted to verify the effectiveness of the proposed scheme.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Establishing Style-Oriented Driver Models by Imitating Human Driving Behaviors




    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik




    Learning energy-efficient driving behaviors by imitating experts

    Kreidieh, Abdul Rahman / Fu, Zhe / Bayen, Alexandre M. | IEEE | 2022


    Imitating driver behavior with generative adversarial networks

    Kuefler, Alex / Morton, Jeremy / Wheeler, Tim et al. | IEEE | 2017


    System for recognizing driving style of driver

    LI DAOFEI / PAN HAO / LI HOUJIAN et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    DRIVER DRIVING STYLE DETECTION AND APPLICATION SYSTEM

    SAMEL ANIKET K | Europäisches Patentamt | 2021

    Freier Zugriff