How to process complex data to support rapid but informed decisions affecting millions of customers
A suite of visual data-informed tools to manage Germany’s rail network and its hundreds of thousands of daily passengers
We created several powerful tools and highly optimized data visualizations for Deutsche Bahn, which are used in production every day to make critical decisions.
Based on machine learning algorithms, peak Spotting uses load,- and capacity prediction data of Deutsche Bahn’s entire network. The software makes millions of data points instantly available to yield and traffic managers.
Besides optimizing the present traffic situation, the tool predicts 100 days into the future to coordinate trains, optimize price management and provide better service to passengers.
Travelers per year
Travelers per day
Rail network to manage
When I first saw the visualizations, it almost had me in tears. I was finally seeing what was happening.
To make data truly actionable, Peak Spotting integrates highly customized visualizations with task management and collaboration tools.
In collaboration with
Christian Au, Deutsche Bahn
Kevin Wang, Deutsche Bahn