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Driving risk assessment using driving behavior data under continuous tunnel environment.

Ying Yan1, Youhua Dai2, Xiaodong Li1

  • 1School of Automobile, Key Laboratory of Automobile Transportation Safety Support Technology, Chang'an University, Xi'an, China.

Traffic Injury Prevention
|November 19, 2019
PubMed
Summary
This summary is machine-generated.

Driving behavior in continuous tunnels presents significant risks, especially at night and high speeds. This study developed a method to assess driving risk levels, improving traffic safety management.

Keywords:
Driving behaviorcontinuous tunnelscritical safety speedrisk assessmenttime headway

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Area of Science:

  • Traffic Engineering and Road Safety
  • Transportation Psychology
  • Environmental Psychology

Background:

  • Evaluating driving risk in continuous tunnels (250-1000m) is challenging due to complex conditions.
  • Driving behavior is crucial for traffic stream quality and operational risk assessment.
  • Existing methods struggle with the dynamic and varied environments within tunnels.

Purpose of the Study:

  • To predict driving risk indicators within continuous tunnels.
  • To determine distinct driving risk levels for enhanced safety.
  • To develop a practical method for traffic risk assessment in tunnels.

Main Methods:

  • Utilized a naturalistic driving system with road and behavior data acquisition.
  • Employed AASHTO braking model and convex hull algorithm to predict critical safety speed and time headway.
  • Determined the average traffic flow risk index (TFRI) and safety thresholds across different driving conditions.

Main Results:

  • Critical safety speed is lower at nighttime compared to daytime in continuous tunnels.
  • Speed significantly influences critical time headway, especially above 90 km/h.
  • Adverse weather conditions reliably interact with mean critical safety speed in various tunnel types.

Conclusions:

  • Driving behaviors differ across tunnel risk points; high speed and luminance variation increase risk.
  • The proposed risk assessment method aligns with real-world safety observations.
  • This approach offers a viable tool for traffic management and safety improvements in continuous tunnels.