In early November 2021, the Finnish scientist Roope Tervo will defend his doctoral dissertation in computer science. The work is devoted to predicting weather conditions using machine learning methods with an emphasis on anticipating power outages and train delays.

predict train delays

It is known that in Finland there are bad weather conditions. Thunderstorms, blizzards and continuous snowfalls occur frequently. It leads to disruptions: power outages and train delays, reports Railway Supply magazine with reference to dou.

Meteorological services have long predicted deterioration weather, but cannot make predictions as clear as machine learning.

Game changing technology

The dissertation explores several cutting-edge machine learning techniques. In particular, forecasting train delays due to weather conditions in a few days – weather parameters are combined with data on train delays.

Such forecasts will enable rail operators to prepare well in advance.

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