Road accidents are common nowadays due to traffic, and road conditions. It affected life threats to propel lives. So to follow instructions of specific road conditions and safe driving. All this information about accidents, to learn lessons from these incidents and implement novel strategies to avoid accidents under any conditions. Environmental factors also play a key role in road accidents even if drivers are carefully driving vehicles. In our research paper, we construct an accident prediction model using ensemble machine learning techniques. Due to this classification system to implement of safety measures and accident prediction. Different types of elements like weather, road conditions, lighting, and vehicle conditions are used to predict road accidents. Our dataset’s attributes are accidents, vehicles, and casualties. Our statistical results generate Logistic Regression, which gives the highest accuracy rate among all machine learning algorithms.


    Access

    Download


    Export, share and cite



    Title :

    Ensemble Learning Algorithms based on Road Accident Data Prediction


    Contributors:


    Publication date :

    2025




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Traffic accident duration prediction using multi-mode data and ensemble deep learning

    Chen, Jiaona / Tao, Weijun / Jing, Zhang et al. | Elsevier | 2024

    Free access

    GIS-based road accident prediction model

    Saccomanno, F. F. / Roy, R. K. / Fu, L. et al. | British Library Conference Proceedings | 2000


    Road traffic accident risk prediction deep learning algorithm

    YU ZHIQING / YAO HUI / LI KUN et al. | European Patent Office | 2022

    Free access