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Effects Of Right-Turn Vehicles On Traffic Flow

Author

Listed:
  • HUA-YAN SHANG

    (Information College, Capital University of Economics and Business, Beijing 100070, China)

  • HAI-JUN HUANG

    (School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

  • WEN-XIANG WU

    (College of Economics and Business Administration, North China University of Technology, Beijing 100144, China)

Abstract

In real traffic, the right-turn vehicles at intersections are not controlled by signal lights and their effects are neglected. In this paper, we develop a cellular automaton model to formulate the complicated turning behaviors of vehicles at intersections. Simulation results are quite in accord with the observation on the Beijing's 4th ring road. It is found that the right-turn vehicles may produce queue near the intersection, a short lane designed for right-turn has prominent effect in improving traffic flow, but, a too long lane for right-turn cannot further decrease the stop ratio as expected. These findings deepen our understanding on the effects of right-turn vehicles and may help the design and management of intersections.

Suggested Citation

  • Hua-Yan Shang & Hai-Jun Huang & Wen-Xiang Wu, 2012. "Effects Of Right-Turn Vehicles On Traffic Flow," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-13.
    • Handle: RePEc:wsi:ijmpcx:v:23:y:2012:i:02:n:s0129183112500106
    DOI: 10.1142/S0129183112500106
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    Citations

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    Cited by:

    1. Qiu, Guo & Song, Rui & He, Shiwei & Yin, Weichuan, 2018. "The pedestrian flow characteristics of Y-shaped channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 199-212.
    2. Ma, Wanjing & Li, Li & Wang, Yinhai, 2016. "A driving force model for non-strict priority crossing behaviors of right-turn driversAuthor-Name: Lin, Dianchao," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 230-244.
    3. Shang, Hua-Yan & Huang, Hai-Jun & Zhang, Yi-Ming, 2015. "An extended mobile lattice gas model allowing pedestrian step size variable," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 283-293.

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