Wi-Tronix® Violet Edge IoT Platform being deployed on MBTA diesel locomotives

March 12, 2020
With this scheduled deployment, MBTA will now have the rest of their diesel locomotive fleet equipped with safety, fuel management, transportation, maintenance and video solutions.

The Massachusetts Bay Transit Authority (MBTA) will complete deployment of the Wi-Tronix® Violet Edge IoT Platform on their diesel locomotive fleet to enhance the safety of their trains and to improve service reliability.

Wi-Tronix has been creating value and showing the positive impact of accessing on-board data and video with some of the MBTA fleet since 2015. With this scheduled deployment of Wi-Tronix, MBTA will now have the rest of their diesel locomotive fleet equipped with safety, fuel management, transportation, maintenance and video solutions.

“The MBTA is focused on safety and service reliability,” said Ryan Coholan, Chief Railroad Officer for MBTA. “Deploying the Wi-Tronix Violet Edge IoT Platform across all of our diesel locomotive fleets will provide MBTA with a powerful combination of edge processing, connectivity, analytics, cloud processing and real-time information to increase safety, reliability and efficiency. This is about how we can better serve our customers, the ridership of MBTA.”

The full fleet deployment of Violet Edge in MBTA locomotives will include video systems, in-cab mobile device detection, edge processing alerts for safety and operations, with a connected solution that enables fast, efficient response to emergency situations or incident investigation.

 “Wi-Tronix is pleased to work with MBTA, and is excited about bringing more safety, efficiency and reliability enhancement solutions to their full fleet” said Larry Jordan, President and CTO of Wi-Tronix. “We are committed to supporting MBTA on their goal to provide what is best for their operators, crew, pedestrians and the public”.

At Wi-Tronix, we’re combining edge processing with advanced systems like Visual Intelligence (VI) and Artificial Intelligence (AI) to detect and interpret actionable information that improves railway safety in real-time.