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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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How do macroscopic traffic flow parameters affect time spent in conflict on freeways? A comprehensive analysis using

Ran Zhang1, Jing Cai1, Fengxiang Guo1

  • 1Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, China.

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This study models time spent in conflict (TSC) using advanced statistical methods, revealing that traffic density significantly impacts conflict duration, crucial for freeway safety assessments.

Keywords:
Time spent in conflicthazard-based duration modelsafety assessmenttraffic conflict

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Area of Science:

  • Traffic Engineering
  • Transportation Safety
  • Statistical Modeling

Background:

  • Time Spent in Conflict (TSC) is a key metric for freeway safety.
  • Understanding the relationship between traffic flow and TSC is vital for effective safety analysis.
  • Existing models may not fully account for data censoring and heterogeneity in TSC.

Purpose of the Study:

  • To develop a robust model for Time Spent in Conflict (TSC) that addresses data censoring and heterogeneity.
  • To investigate the influence of macroscopic traffic flow parameters on TSC.
  • To provide a theoretical basis for enhanced freeway safety assessment.

Main Methods:

  • Utilized hazard-based duration models, specifically the Kaplan-Meier (K-M) model and the random effect Accelerated Failure Time (REAFT) model.
  • The K-M model was used to analyze temporal and spatial heterogeneity of TSC.
  • The REAFT model (specifically, the random effect Weibull AFT model) was employed to fit TSC distribution and quantify parameter impacts.

Main Results:

  • TSC demonstrates temporal heterogeneity across months.
  • The random effect Weibull AFT model provided the best fit for TSC data.
  • Traffic density was found to have the most significant positive impact on TSC (24.73%), while flow had a minimal negative impact (-0.6%).

Conclusions:

  • The study successfully modeled TSC, accounting for censoring and heterogeneity.
  • Macroscopic traffic flow parameters, particularly density, significantly influence TSC.
  • Findings support the development of advanced freeway safety systems for accurate crash risk prediction.