Since 2020, the implementation of our LaserTrain technology has led to improved rail safety, reduced maintenance needs, and significant cost savings across the Long Island network.
Dependable Cleaning with Outstanding Outcomes
In November 2024, the Long Island Rail Road (LIRR) achieved a 96 percent On-Time Performance (OTP), surpassing its 94 percent goal. Compared to 2023, slip-slide incidents decreased by 30 percent, while wheel-value removals dropped by 46 percent, preventing costly flat spots and improving overall efficiency.
12K+
LaserTrain Miles
174
Daily Miles Cleaned
-54%
Low Adhesion Reports
-48%
Slip-Slide Delayed Trains
Measurable Benefits
Boosted Coverage
28 percent surge in miles cleaned
2023
Safer Operations
29 percent decrease in slip-slide events
2023
Less Slip Risks
25 percent reduction in low adhesion faults
2023
Enhanced Rail Grip
30 percent cut in slip time
2023
Better Performance
Best OTP in LIRR history twice recorded!
2021 and 2024
Improved Service
63% reduction in low-adhesion delays
2020
Increased Fleet
27% less cars out of service
2020
Cost Savings
38 percent saving in labour costs associated with wheel truing
2020
Extended Wheel Life
$500,000 annual savings in labour and materials projected
The LaserTrain first launched almost a decade ago, setting a new standard for railway maintenance at Long Island Railroad. Find out more about the pilot and results.
The [LaserTrain] initiative has yielded major year-over-year improvements in service while ultimately paying for itself through reduced labor and material costs.
Philip Eng, President at MTA Long Island Railroad (2021).
Continuous Improvement
Optimizing Laser Cleaning Impact
In 2023 we improved cleaning reliability during slip-slide season with two key enhancements
Refine Geographical Information Set (GIS)
Software Updates cut laser on/off time from 9 to 2 seconds, refining cleaning efficiency around interlocks, switches, and grade crossings.
Update LaserTrain Sensors
Proactively adding new sensor types enhanced overall reliability, minimising machine downtime due to sensor malfunctions.
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