A Railway Network Dataset Incorporating Multi-Type Train Operation Records and Train Scheduling

Area of Science:

• Transportation Science
• Data Science
• Network Analysis

Background:

• Existing railway datasets are often unstandardized or incomplete, hindering research.
• Publicly available datasets integrating train operations and scheduling are scarce.
• There is a need for structured data to study large-scale complex railway networks.

Purpose of the Study:

• To introduce the Italian Railway Network Dataset.
• To provide a comprehensive, structured dataset for railway research.
• To support advancements in intelligent transportation systems and network analysis.

Main Methods:

• Compilation of operational records for multiple train types.
• Integration of station locations, inter-station mileage, and weather data.
• Inclusion of detailed train scheduling information.

Main Results:

• The Italian Railway Network Dataset is presented, offering structured operational and scheduling data.
• The dataset includes train operations, station details, mileage, weather, and schedules.
• Facilitates spatio-temporal pattern mining, network topology analysis, and delay propagation studies.

Conclusions:

• The dataset enables advanced research in railway operations and intelligent transportation.
• It supports the analysis of train delay propagation and distribution.
• Provides a foundation for timetable optimization and system resilience assessment.