Peak Spotting by Studio NAND
Peak Spotting combines machine learning and visual analytics to help manage passenger loads within Germany’s vast railway network.
The project provides yield and capacity managers with rich visual tools to identify potential bottlenecks based on daily generated load predictions for the next 100 days.
Its visualizations provide actionable information to several teams through combined data exploration and collaboration features which contribute directly to improving planning and management.
The creator of this work has supplied multiple images, please click here to view.
CreditsProject director: Christian Au Creative direction, data visualization: Moritz Stefaner Technical lead: Stephan Thiel Design: Christian Laesser Development: Gabriel Credico Lennart Hildebrandt Analytics: Kevin Wang