The paper introduces an interpretable machine learning technique SHAP (SHapley Additive exPlanation) to analyze the vehicle yielding behaviors during pedestrian-vehicle interactions at unsignalized intersections. The study first extracts trajectory data from drone videos and then exploits machine learning methods to construct the yielding classification model. The results indicate that Random Forest (RF) outperforms Support Vector Machine (SVM), Gradient Boosting Machine (GBM), and eXtreme Gradient Boosting (XGBoost), achieving the best classification performance with an area under the ROC curve (AUC) of 0.934. Finally, the SHAP algorithm is fused with RF to improve the model interpretability. The analysis reveals that the distances between vehicles and pedestrians make the most significant impact on vehicle yielding behavior. Furthermore, it is found that traffic-related variables exhibit non-linear and threshold effects on vehicle yielding.


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    Titel :

    An Interpretable Machine Learning-Based Analysis of Vehicle Yielding During Pedestrian-Vehicle Interactions at Unsignalized Intersections


    Beteiligte:
    Wang, Ruiqi (Autor:in) / Ji, Ang (Autor:in) / Li, Tao (Autor:in) / Sun, Zhanbo (Autor:in) / Fu, Zhijian (Autor:in)


    Erscheinungsdatum :

    2023-09-24


    Format / Umfang :

    5538767 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Motorist Yielding to Pedestrians at Unsignalized Intersections

    Turner, Shawn / Fitzpatrick, Kay / Brewer, Marcus et al. | Transportation Research Record | 2006


    Unsignalized Intersections

    Elefteriadou, Lily | Springer Verlag | 2013


    Motorist Yielding to Pedestrians at Unsignalized Intersections: Findings from a National Study on Improving Pedestrian Safety

    Turner, S. / Fitzpatrick, K. / Brewer, M. et al. | British Library Conference Proceedings | 2006



    Motorist Yielding to Pedestrians at Unsignalized Intersections: Findings from a National Study on Improving Pedestrian Safety

    Turner, Shawn / Fitzpatrick, Kay / Brewer, Marcus et al. | Transportation Research Record | 2006