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Classification of driving workload affected by highway alignment conditions based on classification and regression

Jiangbi Hu1, Ronghua Wang1

  • 1a College of Architecture and Civil Engineering , Beijing University of Technology , Chaoyang District, Beijing , P. R. China.

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Summary

This study quantifies driving workload using heart rate variability (HRV) and establishes thresholds for safe driving. The findings help improve highway design for reduced traffic injuries.

Keywords:
Highway engineeringclassification and regression treedriving workloadheart rate variabilityhuman factors

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Area of Science:

  • Human Factors Engineering
  • Transportation Engineering
  • Physiological Measurement

Background:

  • Traffic injuries are a major concern, with driver workload significantly impacting safety.
  • Highway geometric conditions are key factors influencing driver workload.
  • Establishing safe and comfortable driving workload thresholds is crucial for injury reduction.

Purpose of the Study:

  • To classify driving workload based on human factors influenced by highway geometry.
  • To determine the thresholds for different driving workload classifications.
  • To develop a model for quantifying driving workload and its relation to highway design.

Main Methods:

  • A comprehensive literature review established driving workload scales.
  • Heart rate variability (HRV) was selected as the psychophysiological measure for workload quantification.
  • Field experiments with 72 participants (car and truck drivers) and 6 highways were conducted using wearable physiological detectors and GPS.

Main Results:

  • A driving workload calculation model was developed, validated for speeds between 40-120 km/h.
  • Driving workload significantly affects modified HRV, with increased speed correlating to higher HRV.
  • Normal driving workload thresholds were determined for car and truck drivers.

Conclusions:

  • Heart rate variability is an effective index for measuring driving workload, influenced by highway alignment.
  • The developed model and thresholds can evaluate highway geometric design quality.
  • Improved highway design can lead to safer and more comfortable driving, reducing traffic injuries through integrated engineering approaches.