Frequent lane-change of vehicles can have a serious impact on traffic safety and traffic congestion. In the era of the internet of vehicles, it is helpful to regulate driver’s driving behavior by detecting frequent lane-change behaviors and promptly alerting the driver. In this paper, the accelerometer and gyroscope data collected by the smartphone inertial sensor is being used to analyze the lane-change behavior of the vehicles. The data is being trained by AdaBoost and combined with the sliding time window for frequency identification. The effectiveness of the proposed algorithm is being compared to that of SVM algorithm and BP neural network. The results show that AdaBoost algorithm is superior to SVM algorithm and BP neural network. Finally, the same experiment was conducted with the data collected by the high-precision inertial at the same time. When compared with the results of Adaboost algorithm, the practicability of the proposed method is further verified.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detection of Frequent Lane-Change Behavior Using Smart Phone Inertial Sensor Data


    Beteiligte:
    Zhang, Yuqin (Autor:in) / Xu, Zhigang (Autor:in) / Tian, Bin (Autor:in) / Li, Shangrong (Autor:in) / Jiang, Zijun (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 401-410


    Erscheinungsdatum :

    09.12.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle frequent lane change detection method based on lane level positioning

    WU LAN / MA YUFEI / ZHANG MING et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Vehicle frequent lane change identification method and device based on sparse satellite positioning data

    HUANG XIAOJIE / LIU ZHIXIU | Europäisches Patentamt | 2021

    Freier Zugriff

    Lane Change Detection Using Naturalistic Driving Data

    Guo, Hongyu / Xie, Kun / Keyvan-Ekbatani, Mehdi | IEEE | 2021


    Data Acquisition using Smart Phone Applications

    Neale, William T. / Danaher, David / McDonough, Sean et al. | British Library Conference Proceedings | 2016


    Data Acquisition using Smart Phone Applications

    Danaher, David / McDonough, Sean / Owens, Tomas et al. | SAE Technical Papers | 2016