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The Impact of Parallel U-Turns on Urban Intersection: Evidence from Chinese Cities

Author

Listed:
  • Mengmeng Shi

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Xin Tian

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Xiaowen Li

    (Highway Academy, Chang’an University, Xi’an 710064, China)

  • Binghong Pan

    (Highway Academy, Chang’an University, Xi’an 710064, China)

Abstract

As the number of motor vehicles in China’s cities continues to increase, the imbalance between the capacity that existing urban roads have for construction and the demand for motor vehicles is becoming increasingly evident. Indeed, the design of the intersection U-turn scheme has garnered significant attention from researchers. However, as the number of vehicles requiring U-turns increases, the traditional U-turn in the median or U-turn at the intersection fails to meet the timely demand for U-turns. In such cases, vehicles needing to make U-turns are required to queue first. As the queue length grows, it ultimately impacts the operational efficiency of the intersection. To optimize the imbalance between supply and demand at these intersections and promote the sustainable development of intersections, an innovative form of U-turn organization called the Parallel U-turn has been developed. In the engineering practice of reconstructing existing intersections or constructing new ones, it is crucial to investigate the compatibility between various U-turn design forms and traffic volumes. This exploration helps ensure that the chosen U-turn design effectively accommodates the specific traffic demands at the intersection. Therefore, in this paper, a typical intersection in Xi’an was chosen as the study intersection to investigate traffic data. The researchers calibrated and simulated four U-turn organization schemes using VISSIM microsimulation software. The four schemes included a traditional U-turn at the intersection, a Parallel U-turn at the intersection, a traditional U-turn in the median, and a Parallel U-turn in the median. Then, the researchers used the entropy-weighted TOPSIS method (EWTM) to evaluate the compatibility of each U-turn organization scheme for different traffic combinations. This assessment was conducted based on three criteria: operational efficiency, environmental protection, and safety performance. The results of this study indicate that the Parallel U-turn design is advantageous for the XiaoZhai intersection in Xi’an, China, under specific traffic conditions. When the traffic volume at the intersection exceeds 5940 vehicles per hour but remains below the intersection’s maximum capacity, implementing the Parallel U-turn design could yield positive outcomes in terms of operational efficiency, safety performance, and a reduction in intersection pollution. In summary, by enhancing operational efficiency, safety, and environmental impact, the Parallel U-turn design promotes the overall performance and sustainability of the XiaoZhai intersection and the transportation system in Xi’an, China.

Suggested Citation

  • Mengmeng Shi & Xin Tian & Xiaowen Li & Binghong Pan, 2023. "The Impact of Parallel U-Turns on Urban Intersection: Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(19), pages 1-23, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14356-:d:1250337
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    References listed on IDEAS

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    1. Xizhen Zhou & Binghong Pan & Yang Shao, 2021. "Evaluating the Impact of Sight Distance and Geometric Alignment on Driver Performance in Freeway Exits Diverging Area Based on Simulated Driving Data," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    2. Qianling Jiang & Sheng-Jung Ou & Wei Wei, 2019. "Why Shared Bikes of Free-Floating Systems Were Parked Out of Order? A Preliminary Study based on Factor Analysis," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    3. Shengneng Hu & Zhen Jia & Anping Yang & Kui Xue & Guoqi He, 2022. "Evaluating the Sustainable Traffic Flow Operational Features of U-turn Design with Advance Left Turn," Sustainability, MDPI, vol. 14(11), pages 1-16, June.
    4. WenJing Wu & ZhiKang Liang & QingYu Luo & FangWu Ma, 2018. "Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-12, August.
    5. Mutasem Alzoubaidi & Milan Zlatkovic, 2022. "Operational assessment of continuous flow intersections in a connected vehicle environment," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(6), pages 524-543, August.
    6. Binghong Pan & Shangru Liu & Zhenjiang Xie & Yang Shao & Xiang Li & Ruicheng Ge, 2021. "Evaluating Operational Features of Three Unconventional Intersections under Heavy Traffic Based on CRITIC Method," Sustainability, MDPI, vol. 13(8), pages 1-30, April.
    7. Zhepu Xu & Dashan Chen, 2022. "Detection Method for All Types of Traffic Conflicts in Work Zones," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    8. Hassan M. Al-Ahmadi & Arshad Jamal & Imran Reza & Khaled J. Assi & Syed Anees Ahmed, 2019. "Using Microscopic Simulation-Based Analysis to Model Driving Behavior: A Case Study of Khobar-Dammam in Saudi Arabia," Sustainability, MDPI, vol. 11(11), pages 1-18, May.
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