Finland Integrated Train-Weather Dataset (FI-TW)

Finnish Railway Operations with Weather Data (2018-2024) Overview Comprehensive dataset integrating Finnish railway operational data with meteorological observations for delay prediction research. Addresses the gap in publicly available datasets combining weather information with Finland railway operations. Period: 2018-2024 | Features: 30 | Sources: Digitraffic + Finnish Meteorological Institute Key Features Target Variables: Station-specific delay measurements Cumulative delay propagation Operational Features: Temporal encodings (cyclical sine-cosine transformations) Train characteristics and station identifiers Day/hour/seasonal indicators Weather Features (11 parameters): Temperature, dew-point, wind speed, gusts Precipitation, snow depth, humidity Visibility, cloud coverage, pressure Preprocessing Robust scaling for weather outliers Cyclical encoding for temporal features Documented missing data handling Code Repositories Data Collection: Scripts for fetching railway data from Digitraffic and meteorological observations from FMI https://github.com/borinvini/Railway-FMI-Data_fetcher Data Visualization: Interactive Streamlit application for exploring the dataset https://github.com/borinvini/Railway-FMI-Data_viewer Data Preprocessing: Complete pipeline including spatial-temporal alignment, missing data handling, and feature engineering https://github.com/borinvini/Railway-FMI-Data_training Use Cases Train Delay prediction modeling Weather impact analysis on railway operations Transportation analytics for extreme weather conditions Infrastructure planning and operational optimization Keywords: railway delays, weather data, machine learning, transportation analytics, Finland Acknowledgments: This work was supported by the European Union through the Interreg Aurora project ENSURE-6G (Grant Number: 20361812) and the Research Council of Finland (former Academy of Finland) through the 6G Flagship program (Grant Number: 369116). Data sources: Digitraffic (Finnish Transport Infrastructure Agency) and Finnish Meteorological Institute. Contact: [e-mail]