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A Novel Safety Assessment Framework for Pavement Friction Evolution Due to Traffic on Horizontal Curves

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Listed:
  • Guilong Xu

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jinliang Xu

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Chao Gao

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Rishuang Sun

    (Shandong Transportation Planning and Design Institute Group Co., Ltd., Jinan 250061, China)

  • Huagang Shan

    (Shaoxing Transportation Investment Group Co., Ltd., Shaoxing 312000, China)

  • Yongji Ma

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jinsong Ran

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

The friction coefficient is one of the dominant parameters affecting vehicle driving stability on horizontal curves. However, there is no comprehensive framework to assess the traffic safety on the horizontal curve with the evolution of the friction coefficient caused by the traffic flow. In light of this, this paper developed an integrated risk-assessment framework to evaluate the safety on the horizontal curve with the friction coefficient evolving under different traffic characteristics. The speed distribution on the horizontal curve of the freeway is obtained through field experiments that serve as the basic parameters of the model. A new multi-vehicle risk index (MRI) is introduced to assess the traffic safety risk for the horizontal curve by coupling the reliability theory and negative binomial. Three traffic characteristics are considered in the analysis: cumulative traffic volume (CTV), annual average daily traffic (AADT), and average daily traffic of heavy goods vehicles (AADT HGV ). The results show that the AADT and AADT HGV have a considerable impact on the road risk level. When the truck traffic volume is less than 1000 veh/d, the risk of horizontal curves changes less as road operational time goes. The research results can provide a reference for the road maintenance department to determine the timing of road maintenance.

Suggested Citation

  • Guilong Xu & Jinliang Xu & Chao Gao & Rishuang Sun & Huagang Shan & Yongji Ma & Jinsong Ran, 2022. "A Novel Safety Assessment Framework for Pavement Friction Evolution Due to Traffic on Horizontal Curves," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10714-:d:900062
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    References listed on IDEAS

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    1. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
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