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Driving style indicator using UDRIVE NDS data.

Laurette Guyonvarch1, Thierry Hermitte1, Frederic Duvivier2

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PubMed
Summary

A new driving style indicator (DSI) was developed using naturalistic driving data to identify unusual driving behavior around safety-critical events. This indicator helps classify driving styles, distinguishing between risky and safe driving patterns.

Keywords:
Naturalistic driving studydriver behaviordriving style

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Area of Science:

  • Road safety
  • Human factors in transportation
  • Automotive engineering

Background:

  • Analyzing driving behavior during specific events like safety-critical events (SCEs) or secondary tasks is crucial for understanding road safety.
  • Naturalistic driving data offers a rich source for characterizing individual driving styles.

Purpose of the Study:

  • To develop and validate a novel indicator, the driving style indicator (DSI), to quantify driving behavior.
  • To assess whether driving behavior deviates from the norm around specific events.

Main Methods:

  • The DSI was calculated using lateral and longitudinal acceleration data from inertial measurement units.
  • Signal processing involved filtering and calculating the jerk of acceleration.
  • The DSI was defined as the standard deviation of the jerk distribution for each driver.

Main Results:

  • The DSI effectively discriminated between smooth and rough driving styles in pilot data from France and the UK.
  • Initial results from the UDRIVE project showed promising classification of driving styles.
  • Further validation is ongoing with the complete UDRIVE database.

Conclusions:

  • The DSI is a valuable new parameter for clustering drivers based on their driving style.
  • It can be used to study variations in driving parameters during specific events like SCEs.
  • This indicator has the potential to enhance road safety research and applications.