Data driven, optimized driving strategies save US railroads millions

SUMMARY: New York Air Brake is developing systems that use Splunk to adapt driving strategies so that they are optimal for the route and the weather conditions. Can an industry as old as the US railroads have a use case for action based analytics? New York Air Brake, a manufacturer of air brake and train control systems, which supplies approximately half the US market, is proving that optimized train driving strategies based upon advanced data analytics saves millions of dollars. The key to unlocking savings comes from a fresh use case for Splunk products. At Splunk’s annual user conference this week in Las Vegas I spoke with Greg Hrebek, an R&D engineering director at New York Air Brake’s Dallas facility. He explained that Splunk’s operational intelligence platform, which analyses machine and behavioural data,…


Link to Full Article: Data driven, optimized driving strategies save US railroads millions