MTA Partners with Google to Use AI for Rail Safety

By BoroPark24 Staff

The MTA has successfully teamed up with Google to trial an innovative system that uses Pixel smartphones and artificial intelligence to detect rail defects. By attaching Pixel devices equipped with accelerometers and gyroscopes to trains, the MTA was able to collect movement and vibration data, which was then processed using machine learning in the cloud. The pilot program proved highly effective, with the AI system identifying 92% of track issues later confirmed by human inspectors.

Traditionally, rail inspections have been conducted manually by skilled workers, a process that is thorough but time-consuming and costly. The new AI-enabled system offers a faster and more scalable method of identifying potential problems, even while trains remain in operation. This reduces the need for service disruptions and provides continuous monitoring that can help prevent small defects from developing into major safety hazards. Experts note that the system detected a wide range of issues, including missing bolts, worn-out plates, and minor cracks in the tracks.

While the technology has shown great promise, it is not intended to replace human inspectors entirely. U.S. safety regulations still require human oversight, and industry leaders emphasize that AI should be viewed as a supplement rather than a substitute. By flagging problem areas quickly and accurately, the technology allows inspectors to focus their efforts on repairs and complex evaluations, making their work more efficient without compromising safety.