Recent Projects in the Field of Sensors & Intelligent Systems

(1) The Application of Optical Sensors for Railroad Top of Rail (TOR) Friction Modifier Detection and Measurements

The primary objectives of this research are to:

  • Develop technology to detect the condition of top-of-rail lubricity using laser optic reflective sensors and other appropriate optical sensors
  • Assess ToR material content for ToR lubricants, friction modifiers, and flange grease contamination
  • Conduct field tests for new technology for practical application accuracy
  • Develop design capable of movement onboard a Hyrail Vehicle or track geometry car
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(2) Monitoring and Detecting Fouled Ballast using Forward Looking Infrared Radiometer (FLIR) Aerial Technology

The primary objectives of this research are to:

  • Use drone-based thermal imaging technology to rapidly and efficiently survey areas of track that may have fouled ballast
  • Provide a historical database for the extent of fouling over time
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(3) The Application of Doppler LIDAR Technology for Truck Geometry Assessment

The primary objectives of this research are to:

  • Demonstrate the applicability of LIDAR system for the simultaneous measurement of track speed, distance, track curvature, and track irregularity variations
  • Evaluate the accuracy of the LIDAR sensors in measuring track irregularities as compared with other established rail inspection techniques
  • Study the applicability of the Doppler LIDAR technology for capturing the track-induced dynamics and vibrations
  • Perform comprehensive field tests and collect real-time track geometry data from the Virginia Tech’s LIDAR system and the geometry car equipment for the purpose of performance evaluation and comparison purposes
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(4) Ground Trailer Roll Stability Test Evaluation

The project is to perform double-trailer roll stability testing for the evaluation of existing roll stability control (RSC) systems to improve the roll propensity of double-trailers

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