{
  "id": 1461796,
  "title": "The app that wants to help you avoid Deutsche Bahn delays",
  "url": "https://urgent.news/2026/08/17/the-app-that-wants-to-help-you-avoid-deutsche-bahn-delays-1461796",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-08-17T09:18:37.000Z",
  "source": {
    "name": "The Local Germany",
    "slug": "the-local-germany-thelocal",
    "url": "https://www.thelocal.de/20260817/the-app-that-wants-to-help-you-avoid-deutsche-bahn-delays"
  },
  "original_language": "en",
  "account": "Feeling uncertain about Deutsche Bahn train timings? A new website called DelayBahn could provide some clarity. Created as a personal project, DelayBahn draws on historical train delay data to help passengers gauge how likely their journey will be disrupted. Unlike a traditional journey planner, DelayBahn doesn't predict future delays, but rather shows users patterns from recent performances to offer insights into the reliability of different routes.\n\nDeveloped by Shashank Tripathi, DelayBahn functions similarly to conventional itinerary planners. Users input their departure city, destination, travel date, and preferred time to receive a selection of potential routes. However, what sets DelayBahn apart is the additional data presented alongside each route. The platform analyses historical delay information, highlighting average delays, connection risks, and transfer reliability for each option. Users can filter results to find the routes with the least number of delays, the lowest risk of missing connections, the fewest changes, or the lowest fare.\n\nThe site allows travelers to examine data from the past seven, 15, or 30 days and view detailed statistics for individual services. This could prove invaluable when planning significant trips or transfers. For instance, a route that appears marginally slower in the planner might actually be more dependable than a faster-looking alternative. DelayBahn also provides information about passenger compensation rights under EU rail passenger regulations, helping users determine if past journeys may qualify for a refund.",
  "summary": "Tired of guessing whether your Deutsche Bahn train will actually arrive on time? A new free website uses historical data to show you how likely your next train is to be delayed.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}