Connected Cars and Intelligent Transportation Lab

Current Research Topics

Driver behavioral models based on Can-bus (time series) data
  1. Identification of the driver

  2. Drivers grouping by behavioral characteristics – aggressive, safe driving, etc.

  3. Learning the minimal needed set of sensors to avoid exhaustive big data storage

Environment recognition based on Can-bus (time series) data
  1. Road type identification

  2. Road condition\Tactile data (ice, grades, banking, curvature, bumps, cracks, and potholes)

  3. Interesting weather conditions (visibility, wind direction, amount of precipitation)

  4. Learning the minimal needed set of sensors to avoid exhaustive big data storage

Additional research
  1. Diagnostic trouble codes (DTC) classification based on the context and environment

  2. Extension of the warranty and good will based on the vehicle usage patterns

  3. Predictive maintenance

Lab Research Team