The New York Metro relies on Google Pixel to predict the failures

“It would take someone of intelligent,” everyone often say the world struggling with interruptions and delays of public transport. And the news is that now of brains ready for use there are more …

The New York Metro relies on Google Pixel to predict the failures


“It would take someone of intelligent,” everyone often say the world struggling with interruptions and delays of public transport. And the news is that now of brains ready for use there are more and more, thanks to the new artificial intelligence systems capable of anticipating or solving the problems that afflict the big cities. The latest news, in chronological order, comes from New York, where the Metropolitan Transportation Authority has made an agreement with Google Public Sector to use Pixel smartphones at the service of the community. In practice, Big G devices have been installed on the metro vagons to detect the need for maintenance of the tracks, predictively finding the possible faults that can cause unexpected events on the line.

Trackinspect, as the Google prototype is called which was offered free of charge in MTA, has been so successful that the New York transport company has announced a new pilot project even more detailed. «By being able to detect the defects in the rails early, you don’t only save money, but also time, both for the crew members and for passengers. This IA technology not only makes the journey more fluid for travelers, but also to make the work of the tracks of the tracks safer, providing them with more advanced tools ». The system, consisting of pixels in standard plastic cases inserted in old -style wagons, has been equipped with sensors and microphones to trace sounds and vibrations along the way, sending data to the cloud systems in real time. The result so far comes from the collection of 335 million readings, one million GPS positions and 1,200 hours of audio. And everything will allow to deploy maintenance employees before the potential defects worsen, thus reducing the slowdowns of the travel, which in the Big Apple are chronic: only in December 2024 there were 42,862 delays, with trains that skipped the planned stops or that have been suddenly suppressed.

New York is an advanced but not unique example. In the United States, to say, the nearby New Jersey has already collaborated in 2023 with the Aecom infrastructure consultancy company for a pilot program to trace passengers who go up and get off the trains, providing improved travel data in real time. While in China a program was introduced to scan the faces of the passengers and combine them with a database system, eliminating the need for tickets. And if someone had to complain about privacy problems, you know that in Italy a similar system is already in use at Linate airport, where with a recording to the appropriate totem you can then have access to safety and boarding only by showing the face. And moreover, the IA in mobility is the engine today also of the tutor, the system that measures the average speed of vehicles on the highway and which has an epigone in Vergilius, active on some roads of anas competence. Technologies that have shown to significantly reduce accidents and improve road safety.

In short: for those traveling the future could become less complicated. So much so that, also in Milan, an experimentation was made by Amat’s part in viale Monza, with the recording of all types of user who passes by car, motorcycles, bikes and foot. The goal is to monitor the traffic flows with a camera capable of tracing all vehicles of the road, including single -sections, which normally escape statistics and detailed checks. With the algorithm capable of reading and identifying not only cars, vans and all vehicles equipped with plaque, but also the increasingly consistent alternative mobility of urban traffic.

The result, at “total privacy test” says the Mobility Agency, can be used every time you want to face a modification to the road network. And the simulations will be able to settle any disputes ensuring impartial judgment. As well as (artificially) intelligent.