Transportation company

KPIs and visual analytics for quantifying delays and optimising planning

Starting point

  • Train delays (Lost Units) are recorded
  • An automated process is sought to assess the impact of individual construction measures on delays
  • Existing insights should be data-driven validated, and future planning optimised

Procedure

  • Assignment of occurred Lost Units to construction measures using statistical and mathematical methods, including time series modeling and geometric analysis
  • Bottom-up approach, starting with the examination of operational sites in the vicinity of a construction measure, filtering potential diversion routes, and developing data-driven KPIs to quantify the Lost Units

Features/Project outcome

  • Geovisualizations using Leaflet (JavaScript) provide a quick and interactive overview of KPIs at stations near construction measures
  • The type and extent of delays caused by construction activities at individual stations are made visible and measurable
  • The data-driven approach reliably highlights correlations between construction activities and operational processes and is transferable to future planning

Customer benefits

  • Delays are minimized through data-driven planning, improving overall punctuality even during intensive construction activities in rail traffic
  • Measures are taken based on the analysis, and thanks to fast and automated visualization, there is transparency about the relationships between construction sites and resulting delays
  • Future construction planning is shaped by these insights, ensuring minimal operational impact
Erich Holzinger | Senior Manager / Authorised Officer