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Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways

Author

Listed:
  • Guozhu Cheng

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Changru Mu

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Liang Xu

    (School of Civil Engineering, Changchun Institute of Technology, Changchun 130012, China)

  • Xuejian Kang

    (State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang 050043, China
    Key Laboratory of Traffic Safety and Control of Hebei Province, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

Abstract

The larger the proportion of truck traffic volume, the greater the impact on traffic efficiency, and overtaking behavior will also have an impact. Therefore, in order to clarify the truck traffic volume of the freight two-lane highway due to the difficulty of overtaking, an actual vehicle test is carried out. This involves selecting the appropriate two-lane test section, recording each moment and speed in the driver’s overtaking behavior, performing multiple regression analysis to examine the relationship between the overtaking conflict time and design speed and traffic volume, determining a reasonable evaluation series of two-lane road overtaking risk and the corresponding overtaking conflict time threshold by the Fisher optimal segmentation method, and giving an overtaking behavior risk evaluation method based on conflict time. Finally, according to the overtaking conflict time model, different truck traffic conditions are obtained. The research results show that overtaking conflict time is negatively correlated with the traffic volume and design speed of the lane. Through the risk assessment of the corresponding overtaking behavior, the three levels of serious conflict, general conflict and non-conflict are determined, and the freight traffic volume corresponding to different conflict levels at different speeds is calculated, which provides a reference for setting auxiliary lanes for the two-lane freight highway.

Suggested Citation

  • Guozhu Cheng & Changru Mu & Liang Xu & Xuejian Kang, 2021. "Research on Truck Traffic Volume Conditions of Auxiliary Lanes on Two-Lane Highways," Sustainability, MDPI, vol. 13(23), pages 1-11, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13097-:d:688509
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    References listed on IDEAS

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    1. Rowangould, Gregory, 2013. "Public financing of private freight rail infrastructure to reduce highway congestion: A case study of public policy and decision making in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 25-36.
    2. Jansuwan, Sarawut & Chen, Anthony & Xu, Xiangdong, 2021. "Analysis of freight transportation network redundancy: An application to Utah’s bi-modal network for transporting coal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 154-171.
    3. Yuan, Quan & Wang, Jueyu, 2021. "Goods movement, road safety, and spatial inequity: Evaluating freight-related crashes in low-income or minority neighborhoods," Journal of Transport Geography, Elsevier, vol. 96(C).
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    Cited by:

    1. Seyedehmehrmanzar Sohrab & Nándor Csikós & Péter Szilassi, 2022. "Connection between the Spatial Characteristics of the Road and Railway Networks and the Air Pollution (PM10) in Urban–Rural Fringe Zones," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    2. Maksymilian Mądziel & Tiziana Campisi, 2023. "Investigation of Vehicular Pollutant Emissions at 4-Arm Intersections for the Improvement of Integrated Actions in the Sustainable Urban Mobility Plans (SUMPs)," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    3. Cheng Wang & Liyang Wei & Kun Wang & Hongya Tang & Bo Yang & Mengfan Li, 2022. "Investigating the Factors Affecting Rider’s Decision on Overtaking Behavior: A Naturalistic Riding Research in China," Sustainability, MDPI, vol. 14(18), pages 1-18, September.

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