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.

Challenge Finalists

Blyncsy

Blyncsy

PARTNER AGENCIES
Port Authority of New York and New Jersey, NJ Transit
PARTNER AGENCIES
Port Authority of New York and New Jersey, NJ Transit

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

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

Clarifai

Clarifai

PARTNER AGENCIES
Port Authority of New York and New Jersey, New York City Transit
PARTNER AGENCIES
Port Authority of New York and New Jersey, New York City Transit

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

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

Invision AI, Inc.

Invision AI, Inc.

PARTNER AGENCY
NJ Transit
PARTNER AGENCY
NJ Transit

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

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

Zensors Inc.

Zensors Inc.

PARTNER AGENCIES
New York City Transit, Metro-North Railroad
PARTNER AGENCIES
New York City Transit, Metro-North Railroad

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.

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.

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