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Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization

Author

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  • Zongyuan Sun
  • Shuo Liu
  • Dongxue Li
  • Boming Tang
  • Shouen Fang

Abstract

Mountainous freeways with high bridge and tunnel ratios are a new type of road that rarely contain many special road sections formed by various structures. The crash characteristics of the road are still unclear, but it also provides conditions for studying how various road environments affect traffic. In view of the various structures and differences in the driving environments, a scenario-based discretization method for such a road was established. The traffic-influence areas of elementary and composite structures were proposed and defined. Actual data were analyzed to investigate the crash patterns in an entire freeway and in each special section through statistical and comparative research. The results demonstrate the applicability and validity of this method. The crash rates were found to be the highest in interchange and service areas, lower in ordinary sections, and the lowest in tunnels, being mostly attributed to collisions with fixtures. The crash severity on bridges and bridge groups was significantly higher than that on the other types of road sections, being mostly attributed to single-vehicle crashes. The annual average daily traffic and driving adaptability were found to be related to crashes. The findings shed some light on the road design and traffic management implications for strengthening the traffic safety of mountainous freeways.

Suggested Citation

  • Zongyuan Sun & Shuo Liu & Dongxue Li & Boming Tang & Shouen Fang, 2020. "Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0237408
    DOI: 10.1371/journal.pone.0237408
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    Citations

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    Cited by:

    1. Zongyuan Sun & Shuo Liu & Jie Tang & Peng Wu & Boming Tang, 2021. "Exploring the Impacts of Driving Environment on Crashes in Tunnel–Bridge–Tunnel Groups: An Eight-Zone Analytic Approach," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    2. Younshik Chung & Jong-Jin Kim, 2023. "Exploring Factors Affecting Crash Injury Severity with Consideration of Secondary Collisions in Freeway Tunnels," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    3. Heber Hernández & Elisabete Alberdi & Heriberto Pérez-Acebo & Irantzu Álvarez & María José García & Isabel Eguia & Kevin Fernández, 2021. "Managing Traffic Data through Clustering and Radial Basis Functions," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    4. Zhao, Xiaohua & Yang, Haiyi & Yao, Ying & Qi, Hang & Guo, Miao & Su, Yuelong, 2022. "Factors affecting traffic risks on bridge sections of freeways based on partial dependence plots," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    5. Shanchuan Yu & Yu Chen & Lang Song & Zhaoze Xuan & Yi Li, 2023. "Modelling and Mitigating Secondary Crash Risk for Serial Tunnels on Freeway via Lighting-Related Microscopic Traffic Model with Inter-Lane Dependency," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
    6. Hrvoje Grofelnik & Nataša Kovačić, 2023. "Factors Influencing the Carbon Footprint of Major Road Infrastructure—A Case Study of the Učka Tunnel," Sustainability, MDPI, vol. 15(5), pages 1-14, March.

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