Subway

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

In 2019, the Transit Tech Lab sought applications from companies to 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.

Challenge Finalists

Axon Vibe

Axon Vibe

PARTNER AGENCY
The Metropolitan Transportation Authority
PARTNER AGENCY
The Metropolitan Transportation Authority

Provides smartphone app technology that enables public transport operators to deliver personalized communications based on users’ commuting behavior

Provides smartphone app technology that enables public transport operators to deliver personalized communications based on users’ commuting behavior

Veovo

Veovo

PARTNER AGENCY
The Metropolitan Transportation Authority
PARTNER AGENCY
The Metropolitan Transportation Authority

Uses sensor technologies and cameras to analyze the number of people in an area and predict if crowding conditions in a train station are likely to occur

Uses sensor technologies and cameras to analyze the number of people in an area and predict if crowding conditions in a train station are likely to occur

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© 2024 Transit Tech Lab and New York City Partnership Foundation

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© 2024 Transit Tech Lab and New York City Partnership Foundation