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Subway Challenge

How can we better predict subway incident impacts and serve customers?

New York City Transit serves an annual subway ridership of over 1.7 billion, runs nonstop 365 days a year and spans 472 stations. With 5.6 million passengers and over 8,200 trips per weekday on routes with multiple merge points, numerous types of incidents occur each day resulting in over 2,500 delays per weekday. Each delay requires NYCT staff to make complex decisions and communicate with customers in real-time. 

In 2019, the Transit Tech Lab sought applications from companies to better predict subway incident impacts and serve customers. 

See all program results


Two companies began piloting their technologies with the MTA in July 2020. 

Axon Vibe
Axon Vibe mobile app

Axon Vibe provides a smartphone app that helps riders plan journeys and alerts them to disruptions based on their location. If service is changed, the app shows alternative options for reaching the rider’s destination.

Veovo sensor installation at Court St subway station

Veovo instantly measures the number of passengers moving through a subway station to identify crowding and make service more efficient. The MTA can use this information to improve safety on platforms, change train distribution, and plan more efficient stations. 

Transit Tech Lab Challenges