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A hybrid machine learning model for predicting Real-Time ...

A real-time secondary crash likelihood prediction model aims to predict the likelihood of secondary crashes in a short period (e.g., 5–10 min) and update every minute. The main objective of this paper is to develop a machine learning model to predict secondary crash likelihood in real-time.

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A hybrid machine learning model for predicting Real-Time ...

The main objective of this paper is to develop a machine learning model to predict secondary crash likelihood in real-time. Two XGBoost models were developed for predicting the likelihood of crashes leading to secondary crashes and the likelihood of the occurrence of secondary crashes, respectively.