Abstract This paper focuses on the problem that mobile vehicles easily collide with regular pedestrians in dangerous area, and the gray prediction algorithm is applied to establish the markov model of regular pedestrian data. Predict their walking trajectory according to the regular pedestrian movement trend, and provide active and safe predictive control for vehicle braking in the region. Taking the coke oven coal transportation area as an example, a set of regular pedestrian trajectory data is selected to verify the model and prediction method. The experimental results show that this method can predict this type of pedestrian trajectory. When it is compared with the results of the traditional gray model prediction, the error is smaller and the accuracy is higher.


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    Titel :

    Grey Markov Model Prediction Method for Regular Pedestrian Movement Trend


    Beteiligte:
    Fang, Xiaoyu (Autor:in) / Li, Xiaobin (Autor:in) / Yu, Tianyang (Autor:in) / Guo, Zhen (Autor:in) / Ma, Tao (Autor:in)


    Erscheinungsdatum :

    06.10.2018


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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