Your smartphone not only keeps you up to date with the latest pop culture tidbits on your mindless commute, but it may be the key to solving MTA’s chronic delays.
MTA announced a pilot program in conjunction with Google Public Sector, following the success of its TrackInspect prototype, to detect track defects using AI.
The prototype essentially involved attaching Google Pixel smartphones onto R46 subway cars on the A line. Through sensor hardware with advanced cloud and AI capabilities, the smartphones were able to catch subtle sound patterns and vibrations to alert the MTA of necessary preventative maintenance. Cloud-based systems receive this data in real-time, utilizing AI to generate predictive insights.
NYC Transit Track Inspectors will still play a crucial role in confirming whether flagged locations really need improvements, while simultaneously giving feedback to the model. Inspectors can even utilize Generative AI with TrackInspect to ask about maintenance history, repair standards, and protocols.
New York City Transit President Demetrius Crichlow:
By being able to detect early defects in the rails, it saves not just money but also time – for both crew members and riders…This innovative program – which is the first of its kind – uses AI technology to not only make the ride smoother for customers but also make track inspector’s jobs safer by equipping them with more advanced tools.
When combining the prototype data and the MTA’s track geometry cars, the MTA can more quickly detect areas in need of repairs, which will lead to less train delays.
In a press release, the MTA shared their plans to implement AI-driven track inspections across the entire system, enhance data-sharing between maintenance teams and AI and using real-time insights to diminish unforeseen service disruptions.
Moreover, the MTA published a Request for Expressions of Interest for other companies that have developed sensors or certain capabilities that can “plug in” to the program’s mission. Learn more on the MTA’s website.