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Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis.

Kazutoshi Nobukawa1, Shan Bao1, David J LeBlanc1

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This study analyzed large truck drivers' gap acceptance during highway lane changes. Findings reveal directional differences in truck speed relative to other vehicles, impacting lane change safety.

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Area of Science:

  • Transportation Engineering
  • Traffic Safety Research
  • Human Factors in Driving

Background:

  • Understanding large truck driver behavior is crucial for highway safety.
  • Lane change decisions are complex and influenced by surrounding traffic dynamics.
  • Previous research has not fully characterized rearward gap acceptance for large trucks.

Purpose of the Study:

  • To analyze the rearward gap acceptance characteristics of large truck drivers during highway lane changes.
  • To investigate kinematic variables and safety thresholds associated with truck lane changes.
  • To identify directional discrepancies in truck gap acceptance and driving behavior.

Main Methods:

  • Utilized a large-scale naturalistic driving dataset with 600 lane change events.
  • Employed camera image analysis to infer inter-vehicle range, using estimated lane width as reference.
  • Applied weighted linear least squares filtering to kinematic variables and computed time-to-collision and required deceleration.

Main Results:

  • Directional discrepancies were observed in range and range rate distributions.
  • In left lane changes, large trucks were often slower than vehicles in the target lane.
  • In right lane changes, large trucks were typically faster than vehicles in the target lane.

Conclusions:

  • Large truck drivers exhibit distinct gap acceptance behaviors based on lane change direction.
  • Lane change motivations differ significantly between leftward and rightward maneuvers.
  • The findings provide insights into potential safety threshold values for truck lane changes.