Highway accident prediction method and system based on gradient boosting tree model
A gradient boosting tree and accident prediction technology, applied in the field of traffic safety, can solve the problem of inability to quantify the risk state, and achieve the effect of improving the detection performance, reducing the false alarm rate, and overcoming the imbalance.
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[0080] As an embodiment, the data preprocessing also includes estimating the full-day cross-sectional traffic flow, including:
[0081] Through the traffic flow distribution curve of the last day, obtain the proportion of the hourly cross-section traffic flow to the whole-day cross-section traffic flow;
[0082] Estimated cross-sectional traffic flow throughout the day;
[0083] Form a sparse matrix of segment hourly accident data.
[0084] Embodiments of the present specification also provide a system for predicting highway accidents based on a gradient boosting tree model, including:
[0085] The data collection module is used to collect historical accident data to form a traffic accident data set;
[0086] The data cleaning module is used to clean the traffic accident dataset;
[0087] The data preprocessing module is used to perform data preprocessing on the traffic accident data set after data cleaning;
[0088] The feature extraction module is used to perform feature...
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