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Multi-vehicle safety functions for freeway weaving segments using lane-level traffic data.

Heesub Rim1, Mohamed Abdel-Aty1, Nada Mahmoud1

  • 1Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.

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Summary

This study develops Safety Performance Functions (SPFs) for freeway weaving segments using lane-level data. Findings reveal distinct traffic factors influencing rear-end versus sideswipe/angle crash frequencies, aiding safety evaluations.

Keywords:
Lane-level traffic dataMulti-vehicle crashesPoisson Lognormal regressionSafety performance functionWeaving segments

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Area of Science:

  • Traffic Engineering
  • Transportation Safety
  • Statistical Modeling

Background:

  • Freeway weaving segments exhibit higher crash probabilities due to complex traffic interactions (through, merging, diverging).
  • Traffic flow within these segments is inherently unstable, necessitating detailed analysis.

Purpose of the Study:

  • To develop Safety Performance Functions (SPFs) specifically for freeway weaving segments.
  • To identify significant traffic parameters influencing different crash types within these segments.
  • To provide a basis for safety evaluation and operational strategies on freeway weaving segments.

Main Methods:

  • Utilized lane-level traffic data for detailed analysis of weaving segment conditions.
  • Employed the Poisson Lognormal (PLN) regression model to develop the SPFs.
  • Differentiated analysis based on crash types (rear-end, sideswipe/angle).

Main Results:

  • For rear-end crashes, general traffic conditions like average speed of through lanes were significant.
  • For sideswipe and angle crashes, weaving-specific variables such as off-ramp volume ratio and speed variability in the rightmost lane were significant.
  • Different traffic parameters were found to be significant predictors depending on the crash type.

Conclusions:

  • The developed SPFs provide valuable insights into the safety of freeway weaving segments.
  • The findings can inform the development of targeted operational strategies to enhance traffic safety.
  • This research offers a foundation for future safety evaluation studies on complex freeway sections.