The article discusses the prediction of fatalities at Northern Indian Railways’ road-rail level crossings using machine learning algorithms. The goal is to reduce the number of accidents and deaths that occur at these crossings. The study used a dataset of accidents that occurred at level crossings over a ten-year period. Machine learning algorithms were used to analyze the data and develop a predictive model. The results showed that the model could accurately predict fatalities at level crossings with a high level of accuracy. The researchers hope that this technology can be applied to other railway systems to reduce the number of accidents and fatalities on railway systems.
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The person mentioned in the article is not someone specific, but rather a group of researchers who conducted the study on predicting fatalities at level crossings. The study was conducted by researchers from various institutions, including the Indian Institute of Technology and the Centralized Accident and Trauma Services. The researchers used machine learning algorithms to analyze data on accidents that occurred at level crossings to develop a predictive model that could help reduce the number of accidents and fatalities on railway systems.
