Case Study

How TUBR makes sparse time-series predictions to transform transport management operations and improve passenger experience.

At a glance

For centuries we’ve monetized our transport systems with ticket sales. The more people that travel on the system at the same time, the more money the operator claims. The model wasn’t sustainable but since the global Covid pandemic we’ve seen our already tight budget transportation systems cracking from a failing monetization strategy.


  • Transport operators are now looking for new ways to monetize and maximize profits.
  • The pandemic has changed the patterns and behaviors of riders making the needs to proactively manage trains & staff difficult.

Key Trends

Manage to save

Transport operators are looking for ways to optimize their operations and save money on service management costs.

Time-based predictions at station, train and carriage level can assist transport operators in better staff and train allotment management driving significant savings.