Traffic conflict technology has become an important means to evaluate traffic safety due to the lack of historical accident data. Aiming at the problems of complex traffic flow and frequent accidents in the expressway weaving areas, this paper proposes a new method that uses historical trajectory data of target vehicles to predict whether traffic conflicts will occur in the future, thereby meeting the need for conflict warning. The core of the method includes a trajectory prediction approach based on long short-term memory with attention mechanism (ATT-LSTM) and a traffic conflict prediction method based on predicted trajectories and Time Difference to Collision (TDTC). The experimental results show that the method proposed in this paper performs excellently in rear-end conflict prediction, which can provide a reference basis for the design of vehicle warning devices.


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    Titel :

    A Traffic Conflict Prediction Method in Expressway Weaving Areas Based on ATT-LSTM Trajectory Prediction


    Beteiligte:
    Yu, Dexin (Autor:in) / Yang, Yu (Autor:in) / Peng, Wanli (Autor:in) / Wu, Xincheng (Autor:in)


    Erscheinungsdatum :

    14.06.2024


    Format / Umfang :

    761117 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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