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Utah Transit Authority chooses rMetrix for ride quality monitoring

The system is designed for the individual inspector, as well as for organizations, large and small.

September 26, 2018
Utah Transit Authority chooses rMetrix for ride quality monitoring

Using rMetrix-A for continuous track inspection activities leads to the rapid identification and prioritization of locations for corrective and preventive maintenance, as well as the detection of vehicle and track abnormalities that may impact passenger comfort, cargo integrity, equipment reliability, and operational safety.

UTA

1 min to read


Using rMetrix-A for continuous track inspection activities leads to the rapid identification and prioritization of locations for corrective and preventive maintenance, as well as the detection of vehicle and track abnormalities that may impact passenger comfort, cargo integrity, equipment reliability, and operational safety.

UTA

dFuzion Inc. announced that the Utah Transit Authority has chosen the rMetrix® ultraportable ride performance assessment system for ride quality monitoring of their rail lines.

The system revolutionizes the way ride quality data is collected, stored, analyzed, and displayed. Incorporating cutting edge GPS and accelerometer sensors with an intuitive easy-to-use control software interface, rMetrix effectively and efficiently assesses ride quality, comfort, and safety.

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The system is designed for the individual inspector, as well as for organizations, large and small. With rMetrix, inspectors can monitor, collect, and analyze geo-spatially correlated ride quality data and make safety and maintenance recommendations in real-time. With rMetrix, organizations can analyze and correlate ride data over time and geography to determine data trends.

rMetrix-A is designed for those organizations who need to continually monitor ride quality and track and vehicle safety conditions with limited inspectors or resources. Using rMetrix-A for continuous track inspection activities leads to the rapid identification and prioritization of locations for corrective and preventive maintenance, as well as the detection of vehicle and track abnormalities that may impact passenger comfort, cargo integrity, equipment reliability, and operational safety.

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