Recovery Challenge

How can we support the recovery of public transit and deliver service that gets customers back?

The COVID-19 pandemic has altered mobility patterns for millions of citizens who rely on public transit. As New York recovers it is vital to reimagine public transit to meet its evolving needs. The Recovery Challenge calls for technologies and approaches that help make transit more responsive to the changing needs of New Yorkers while ensuring customers and staff feel safe.

Technologies may include:

Real-time regional data tools that provide insights on new travel patterns
Tools that streamline crew scheduling to ensure optimal staffing across operations
Enhancements to OMNY, the MTA’s successful contactless payment system, to improve the customer experience
Technologies that improve safety and deter adverse events including employee assaults and track intrusions

The COVID-19 pandemic has altered mobility patterns for millions of citizens who rely on public transit. As New York recovers it is vital to reimagine public transit to meet its evolving needs. The Recovery Challenge calls for technologies and approaches that help make transit more responsive to the changing needs of New Yorkers while ensuring customers and staff feel safe.

Technologies may include:

Real-time regional data tools that provide insights on new travel patterns
Tools that streamline crew scheduling to ensure optimal staffing across operations
Enhancements to OMNY, the MTA’s successful contactless payment system, to improve the customer experience
Technologies that improve safety and deter adverse events including employee assaults and track intrusions

Challenge Finalists

ABOUT THE FINALISTS

Pilot Winner

Blyncsy

Catalogues roadway infrastructure and conditions, including pavement markings, obstacles, and roadway deterioration to facilitate maintenance.

Partner Agencies: PANYNJ, NJT

Clarifai

Uses machine learning and computer vision software to identify track intrusions, unsafe behavior in stations, and passenger flows.

Partner Agencies: PANYNJ, NYCT

Invision AI, Inc.

Uses existing cameras and AI vision systems to create real-time 3D digital twin of transit stations.

Partner Agency: NJT

Zensors Inc.

Uses artificial intelligence to capture actionable data from existing hardware and cameras to provide operations visibility and address problems that range from overcrowding to fare evasion.

Partner Agencies: NYCT, MNR

Information Sessions

Learn about the application process, criteria, and hear directly from MTA and PANYNJ leadership.

How the Transit Tech Lab Works

The Transit Tech Lab offers growth-stage companies the opportunity to pilot innovative solutions with the nation’s largest public transit system. Applicants have the opportunity to deploy solutions with public agencies, access funded pilots, and collaborate with subject matter experts in their field.