Measurement and control of vehicle/track interaction is paramount to any railway to ensure that derailments are prevented, and optimum ride quality is maintained. ENSCO is the leader in vehicle/track interaction technologies to aid railways to achieve optimum performance.
Vehicle/Track Interaction (V/TI) Monitor
The industry’s leading method to monitor passenger transit vehicle/track interaction is the V/TI. It is installed on multiple revenue vehicle types to assess the vehicle/track interaction performance across all vehicle types. Since the V/TI is autonomous, it always inspects and provides a continuous safety net to ensure optimum railway operations.
Ride Quality Measurement System (RQMS)
The Ride Quality Measurement System (RQMS) operates similar to the Vehicle/Track Interaction (V/TI) Monitor, but has the advantage that it is synchronized with other measurement systems. When the RQMS is installed on a revenue vehicle with other systems, such as a Track Geometry Measurement System (TGMS), it provides invaluable insights to understand what track geometry conditions are driving undesired vehicle/track interaction conditions.
Instrumented Wheel Sets (IWS)
Instrumented Wheel Sets (IWS) are the industry standard method of directly measure wheel forces from vehicle/track interaction. ENSCO has unique features with our IWS that allow it to be synchronized with all other systems and operate autonomously. This provides a valuable ability to consistently monitor wheel/rail interaction and correlate with track geometry and rail profile conditions.
Automated VAMPIRE® Vehicle/Track Interaction Software
ENSCO offering of Automated VAMPIRE allows for it produce all the same data of the Vehicle/Track interaction (V/TI), Ride Quality Measurement System (RQMS), and Instrumented Wheel Sets (IWS) but in a virtual, digital twin manner. The Automated VAMPIRE solution is combined with an autonomous or manned Track Geometry Measurement System (TGMS) to produce invaluable data to aid in derailment prevention but also provide insightful data for track maintenance planning in the Automated Maintenance Advisor (AMA) software.