The UK publishes a vast, real-time stream of bus data through the Bus Open Data Service (BODS). We collect it, validate it, and turn it into clear evidence about how services actually run.
We run an autonomous pipeline that records every bus position across two regions, West Midlands and West Yorkshire, every few seconds. Then it checks the live feed against the published timetable to find where reality and the schedule diverge.
An always-on collector records and de-duplicates real-time vehicle positions across whole regions, archived for analysis.
We compare what's broadcast against what's scheduled. That surfaces coverage gaps, stale positions, and trips that vanish mid-route.
The result is a real-time animated map of the fleet, plus a monitor that turns the findings into something a transport authority can use.
An autonomous, self-healing collector runs a multi-day window across both regions and archives millions of positions.
Coverage, staleness, plausibility and delay analysis, with reproducible findings rather than anecdotes.
A real-time interactive map of the fleet, plus a dashboard that tracks collection health and timetable changes.
We fill the gaps between updates and estimate arrivals, using a self-evaluating model that learns where the feed falls short.
We're hardening the findings into something we can put in front of bus operators and local authorities.
We have hard, reproducible findings about how services actually run. If that's useful to you, let's talk.
admin@stridel.io