Signaling Challenge Finalists Proof of Concept Results

transittechlab
2 min readOct 5, 2022

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The Transit Tech Lab was tasked with finding innovative technologies to modernize New York City’s aging subway signaling system. Four companies recently completed proofs of concept and demonstrated how their technology can improve subway reliability and increase capacity. Solutions range from artificial intelligence to LiDAR hardware, to a new train-centric Communications-Based Train Control (CBTC) system.

4AI Systems
In partnership with MACC products

4AI Systems demonstrated how their artificial intelligence software can improve reliability and safety through early track intrusion detection. Five cameras and sensors were installed on a R143 subway car and captured 5,000 miles of footage and 50 terabytes of data along the Canarsie Line. People, objects, and signal colors were detected up to 1,600 feet away. This solution can also help lower maintenance costs by replacing old wayside infrastructure.

Alstom

Alstom virtually demonstrated how Urbalis, a new CBTC system, could reduce headways, increase capacity, and accelerate installation time. The simplified train-to-train architecture eliminates the need for wayside equipment and provides quicker communication between trains. Alstom’s technology was tested along the 2, 3, and 5 lines in White Plains.

Luminar
In partnership with Seoul Robotics

Luminar’s 3D LiDAR and Seoul Robotics’ perception software successfully located trains to within 1m in GPS-denied locations. With accurate train positioning, the MTA could run trains closer together and reduce headways. The solution also has the potential to detect track hazards and infrastructure damage.

Ouster
In partnership with Lux Modus

Ouster and Lux Modus’ digital LiDAR sensor and mapping software captured 25,000 images and created a 3D twin of track infrastructure between Coney Island Yard and 4th Avenue Station. If used over time on a Track Geometry Car the technology can automate track maintenance, saving time and money. The solution also has the potential to support accurate train positioning and detect track hazards.

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transittechlab

The Transit Tech Lab is an accelerator program for public transportation solutions launched by the @MTA and @Partnership4NYC