With the largest municipal bus fleet in the United States, New York’s DOB’s main maintenance strategies include:
Even with a comprehensive maintenance plan, having a fleet of over 5,800 buses inevitably leads to critical component failures and road calls. Road calls immediately disrupt service to our customers, and each instance is costly due to the additional labour, materials, and loss of revenue.
The DOB has been utilising bus telematics for post failure alerts and diagnostics for a number of years. We are now implementing prognostics and machine learning to predict issues and resolve them before failures occur.
Having the largest bus fleet in North America means that MTA has massive amounts of telematics data and history to feed the machine learning algorithm. The project is able to leverage the telematics technology, hardware, and infrastructure MTA has invested in over the years.
This has allowed for the daily flow of telematics data from each bus when it returns to the depot and ensures the machine learning model is working with latest data. In fact, prognostic alerts have shown to be over 80% accurate.
The project pilot resulted in: